mcoBrecha de ingreso Accedi a crdito productivoAccedi a crdito productivo formalAccedi a crdito productivo informalcrdito 0.78969 * 0.69594 *0.17491sex 0.52610 * 0.40713 * 0.39655 *edad 0.06639 *0.019560.01978edad2-0.00053 *-0.00014-0.00014nhog-0.19721 *-0.17167 *-0.17162 *aosesc 0.07977 * 0.05369 *0.05386etmez0.167030.081490.09183etbla 0.48814 * 0.29196 ** 0.31255 *estcivc 0.26288 *0.065990.07215estcivs0.13558-0.03123-0.01794zona 0.31231 * 0.21236 * 0.19839 *hortrab 0.02642 ** 0.02814 **cpropia 0.69520 * 0.70591 *emplea-0.36135 *-0.35830 *patrono 1.5536 * 1.60095 *negfun 2.2976 * 2.30046 *aosfun-0.00148-0.00234negruc 0.81697 * 0.87647 *cons-4.3883-5.62692 *-5.58947 *0.18920.43380.4254 *Significativas a un 5%**Significativas a un 10%reg brecha credfor osexo oedadjh oaosesc ohorastrab ocasado osoltero opatrono ozona oblanco onegro onhogar onegruc ocomercio otrans> porte omanufactura oaosfun oempleados oambulante, robustLinearregressionNumber of obs=682LinearregressionNumber of obs=682LinearregressionNumber of obs=682F( 19, 662)=6.48F( 19, 662)=6.15F( 19, 662)=6.04Prob > F=0Prob > F=0Prob > F=0R-squared=0.2662R-squared=0.2547R-squared=0.2398Root MSE=439.26Root MSE=442.67Root MSE=447.08

RobustRobustRobustbrechaCoef.Std. Err.tP>t[95% Conf.Interval]brechaCoef.Std. Err.tP>t[95% Conf.Interval]brechaCoef.Std. Err.tP>t[95% Conf.Interval]

credito-190.196240.20378-4.7300-269.1385-111.2539credfor-174.506347.32129-3.690-267.4242-81.58841credinf-127.141463.08291-2.020.044-251.0081-3.274741osexo-29.0269913.35717-2.1700.03-55.25452-2.799456osexo-29.6916113.30629-2.230.026-55.81923-3.563983osexo-28.5427613.60126-2.10.036-55.24957-1.835945oedadjh27.0230415.708381.7200.086-3.82121657.86729oedadjh24.885515.771961.580.115-6.08358755.85459oedadjh28.580415.996291.790.074-2.82918159.98998oaosesc-116.607718.21122-6.4000-152.3665-80.84901oaosesc-113.758517.9458-6.340-148.996-78.52093oaosesc-118.683618.60907-6.380-155.2236-82.14372ohorastrab-1.40333216.46117-0.0900.932-33.7257230.91906ohorastrab-0.780348816.44624-0.050.962-33.0734231.51273ohorastrab-1.85722316.64494-0.110.911-34.5404530.82601ocasado-23.1466315.43601-1.5000.134-53.456067.162804ocasado-19.1005815.66355-1.220.223-49.8568111.65565ocasado-26.0944916.14044-1.620.106-57.787115.598135osoltero-19.558416.42892-1.1900.234-51.8174712.70066osoltero-17.6764816.35054-1.080.28-49.7816614.42869osoltero-20.9295316.32474-1.280.2-52.9840411.12498opatrono-135.361222.11757-6.1200-178.7902-91.93214opatrono-137.517822.22155-6.190-181.151-93.88459opatrono-133.789922.19345-6.030-177.3679-90.21185ozona-27.2008612.2339-2.2200.027-51.22279-3.178937ozona-30.4431212.31359-2.470.014-54.62152-6.264722ozona-24.8386212.58466-1.970.049-49.54929-0.1279573oblanco-21.4958422.50148-0.9600.34-65.678722.68703oblanco-21.0004722.33386-0.940.347-64.8542222.85328oblanco-21.8567522.65078-0.960.335-66.3327822.61928onegro-4.8781915.31355-0.3200.75-34.9471825.1908onegro-3.0121414.74755-0.20.838-31.9697525.94547onegro-6.23775315.52477-0.40.688-36.7214824.24598onhogar46.7605513.896893.3600.00119.4732574.04784onhogar46.699213.844263.370.00119.5152573.88315onhogar46.8052414.137613.310.00119.0452974.56519onegruc-101.847418.0742-5.6300-137.337-66.3577onegruc-92.6759317.81299-5.20-127.6527-57.69916onegruc-108.529517.90809-6.060-143.693-73.36595ocomercio-0.491328816.87879-0.0300.977-33.6337532.65109ocomercio-1.95499516.93063-0.120.908-35.199231.28921ocomercio0.575065817.19950.030.973-33.1970734.3472otransporte-50.9600119.06323-2.6700.008-88.39169-13.52833otransporte-48.0040718.87135-2.540.011-85.05899-10.94916otransporte-53.1136419.78914-2.680.007-91.97068-14.2566omanufactura41.4898615.164232.7400.00611.7140771.26565omanufactura40.8118415.310662.670.00810.7485470.87514omanufactura41.9838515.319922.740.00611.9023772.06533oaosfun-9.81646712.78804-0.7700.443-34.9264715.29353oaosfun-9.22598312.77552-0.720.47-34.311415.85944oaosfun-10.2466812.9133-0.790.428-35.6026415.10928oempleados-82.2129426.69115-3.0800.002-134.6224-29.80343oempleados-82.4210426.98568-3.050.002-135.4089-29.4332oempleados-82.0613226.55176-3.090.002-134.1971-29.92551oambulante-14.1381616.11891-0.8800.381-45.7885117.51218oambulante-16.3881716.56295-0.990.323-48.9104116.13408oambulante-12.4988616.05829-0.780.437-44.0301819.03246_cons-235.482416.03768-14.6800-266.9732-203.9915_cons-262.146517.17778-15.260-295.876-228.417_cons-289.078916.68915-17.320-321.849-256.3089

LinearregressionNumber of obs=299LinearregressionNumber of obs=299LinearregressionNumber of obs=299F( 19, 279)=2.35F( 19, 279)=2.37F( 19, 279)=2.4Prob > F=0.0014Prob > F=0.0013Prob > F=0.0011R-squared=0.1573R-squared=0.1565R-squared=0.159Root MSE=10.037Root MSE=10.042Root MSE=10.027

RobustbrechaCoef.Std. Err.tP>t[95% Conf.Interval]RobustRobustbrechaCoef.Std. Err.tP>t[95% Conf.Interval]brechaCoef.Std. Err.tP>t[95% Conf.Interval]credito-0.82496211.470443-0.560.575-3.7195332.069609osexo0.04181860.5910180.070.944-1.1216021.205239credfor0.36951361.9692650.190.851-3.5069914.246018credinf-1.7914882.016979-0.890.375-5.7619182.178942oedadjh-1.180540.5898935-20.046-2.341747-0.0193332osexo0.04846460.59250110.080.935-1.1178761.214805osexo0.07404020.59894110.120.902-1.1049771.253058oaosesc-0.48875110.5752542-0.850.396-1.6211410.6436386oedadjh-1.1862050.5935937-20.047-2.354696-0.0177141oedadjh-1.2080050.5894107-2.050.041-2.368262-0.0477482ohorastrab-0.86100310.6198636-1.390.166-2.0812060.3592002oaosesc-0.48890110.5749001-0.850.396-1.6205940.6427916oaosesc-0.48947870.5743985-0.850.395-1.6201840.6412265ocasado1.8643050.60996943.060.0020.66357833.065032ohorastrab-0.85712790.6207881-1.380.168-2.0791510.3648955ohorastrab-0.84221510.6162358-1.370.173-2.0552770.3708471osoltero-1.0734050.8423198-1.270.204-2.7315150.5847037ocasado1.8603080.60637973.070.0020.66664753.053968ocasado1.8449270.61243133.010.0030.63935383.0505opatrono-0.09206280.461542-0.20.842-1.000610.8164841osoltero-1.0789070.8412154-1.280.201-2.7348420.5770283osoltero-1.1000780.8416286-1.310.192-2.7568260.556671ozona-1.4184360.5222612-2.720.007-2.446509-0.3903629opatrono-0.10092050.4857046-0.210.836-1.0570320.8551905opatrono-0.13500720.4630942-0.290.771-1.046610.7765953oblanco-1.5315060.5969188-2.570.011-2.706543-0.3564694ozona-1.4205250.519699-2.730.007-2.443555-0.3974964ozona-1.4285670.5237194-2.730.007-2.45951-0.3976239onegro-0.58496130.4248376-1.380.17-1.4212550.2513329oblanco-1.5385940.5924461-2.60.01-2.704826-0.3723622oblanco-1.5658710.5996707-2.610.01-2.746325-0.3854176onhogar1.9271230.69550942.770.0060.55801053.296235onegro-0.5763590.4260578-1.350.177-1.4150550.2623372onegro-0.54325550.4348849-1.250.213-1.3993280.3128168onegruc0.39049920.58015860.670.501-0.75154481.532543onhogar1.9267190.69015122.790.0060.56815463.285284onhogar1.9251670.69255082.780.0060.56187853.288455ocomercio-1.0412050.5755498-1.810.072-2.1741760.0917669onegruc0.38951090.57007220.680.495-0.73267791.5117onegruc0.38570770.5705280.680.5-0.73737851.508794otransporte-0.00229220.4151753-0.010.996-0.81956610.8149818ocomercio-1.0460690.5754179-1.820.07-2.1787810.0866433ocomercio-1.0647860.5781122-1.840.067-2.2028020.0732294omanufactura-0.20327010.5301338-0.380.702-1.246840.8402999otransporte-0.00415050.4167369-0.010.992-0.82449840.8161974otransporte-0.0113020.413795-0.030.978-0.82585880.8032548oaosfun-0.35471930.5698668-0.620.534-1.4765040.7670653omanufactura-0.20580820.5302644-0.390.698-1.2496350.8380188omanufactura-0.21557550.5309357-0.410.685-1.2607240.829573oempleados-0.67362680.5323355-1.270.207-1.7215310.3742773oaosfun-0.35572430.5695453-0.620.533-1.4768760.7654274oaosfun-0.3595920.5697242-0.630.528-1.4810960.7619119oambulante-0.39968360.6973652-0.570.567-1.7724490.973082oempleados-0.67867430.5261837-1.290.198-1.7144690.35712oempleados-0.69809820.5313003-1.310.19-1.7439640.3477681_cons40.783330.645867163.15039.5119442.05472oambulante-0.3917520.7028512-0.560.578-1.7753170.9918128oambulante-0.36122960.706668-0.510.61-1.7523081.029848_cons40.579180.615339765.95039.3678941.79048_cons40.806750.609488666.95039.6069742.00654

.LinearregressionNumber of obs=981LinearregressionNumber of obs=981LinearregressionNumber of obs=981F( 19, 961)=8.8F( 19, 961)=8.87F( 19, 961)=8.8Prob > F=0Prob > F=0Prob > F=0R-squared=0.3056R-squared=0.3053R-squared=0.3014Root MSE=377.63Root MSE=377.72Root MSE=378.77

RobustRobustRobustbrechaCoef.Std. Err.tP>t[95% Conf.Interval]brechaCoef.Std. Err.tP>t[95% Conf.Interval]brechaCoef.Std. Err.tP>t[95% Conf.Interval]

credito-69.6162332.33195-2.150.032-133.0656-6.166849credfor-77.4878839.6573-1.950.051-155.31280.3370232credinf-22.1660247.40814-0.470.64-115.201470.86939sexo3.21007725.184150.130.899-46.212252.63236sexo1.0331425.231810.040.967-48.4826650.54894sexo6.00484125.318810.240.813-43.681755.69138edadjh0.98475210.8897971.110.269-0.76141712.730921edadjh0.96003970.89104241.080.282-0.78857362.708653edadjh1.0371480.89029611.160.244-0.71000062.784297aosesc-10.841262.973092-3.650-16.67576-5.006756aosesc-10.926242.950204-3.70-16.71583-5.136657aosesc-11.282933.046904-3.70-17.26228-5.303573horastrab5.3144694.3051941.230.217-3.13419813.76314horastrab4.6684364.3242311.080.281-3.81758913.15446horastrab4.3039764.29253810.316-4.11985312.7278casado-9.11654127.48789-0.330.74-63.0597644.82668casado-5.89281727.45585-0.210.83-59.7731547.98752casado-8.03897628.12336-0.290.775-63.2292647.15131soltero10.5860460.045560.180.86-107.2495128.4216soltero12.8232960.024150.210.831-104.9702130.6168soltero4.65535359.756080.080.938-112.6121121.9228patrono-201.817256.18376-3.590-312.0742-91.56017patrono-208.207456.93201-3.660-319.9328-96.48202patrono-211.575856.11769-3.770-321.7031-101.4484zona-25.2015424.87143-1.010.311-74.0101323.60704zona-28.1551824.54289-1.150.252-76.3190220.00866zona-23.2811924.81487-0.940.348-71.9787825.41641blanco-52.8639660.73299-0.870.384-172.048666.32063blanco-48.7259260.82976-0.80.423-168.100470.64858blanco-48.1280560.59054-0.790.427-167.033170.77698negro-10.9296563.77608-0.170.864-136.0861114.2268negro-12.9097862.0326-0.210.835-134.6448108.8252negro-15.8553363.73896-0.250.804-140.9389109.2283nhogar19.502375.1108233.8209.47271129.53203nhogar19.319545.1242143.7709.26360229.37548nhogar19.251125.1254343.7609.19278829.30946negruc-209.071238.75422-5.390-285.1238-133.0185negruc-201.613937.85982-5.330-275.9113-127.3164negruc-214.721338.75746-5.540-290.7804-138.6623comercio0.018459731.9890801-62.7580662.79498comercio-3.51939430.62312-0.110.909-63.6152956.5765comercio-11.9461631.32648-0.380.703-73.4223649.53004transporte-161.887163.24279-2.560.011-285.997-37.7772transporte-162.120960.30368-2.690.007-280.463-43.77882transporte-182.837763.06826-2.90.004-306.6051-59.07031manufactura81.1118632.007012.530.01118.30017143.9235manufactura77.0082531.442472.450.01415.30443138.7121manufactura74.4218431.960982.330.0211.70048137.1432aosfun-2.4149920.9041238-2.670.008-4.189277-0.6407072aosfun-2.2912470.9113306-2.510.012-4.079674-0.5028193aosfun-2.1577980.8951188-2.410.016-3.914411-0.4011851empleados-70.4906919.90027-3.540-109.5437-31.43769empleados-71.0833119.92957-3.570-110.1938-31.97282empleados-71.9292319.60158-3.670-110.3961-33.46239ambulante-32.7176329.25358-1.120.264-90.125924.69064ambulante-35.2099329.0139-1.210.225-92.1478421.72797ambulante-29.9371928.5498-1.050.295-85.9643326.08994_cons35.3400773.619630.480.631-109.1337179.8138_cons40.0537473.737620.540.587-104.6516184.7591_cons30.6519873.15160.420.675-112.9033174.2073

ricospobrestotalbrechacreditocredito formalcredito infrmalbrechacreditocredito formalcredito infrmalbrechacreditocredito formalcredito infrmalcredito-190.196-174.506-127.1410.0000.0000.044credito-0.8250.370-1.7910.5750.8510.375credito-69.616-77.488-22.1660.0320.0510.640osexo-29.027-29.692-28.5430.0300.0260.036osexo0.0420.0480.0740.9440.9350.902sexo3.2101.0336.0050.8990.9670.813oedadjh27.02324.88628.5800.0860.1150.074oedadjh-1.181-1.186-1.2080.0460.0470.041edadjh0.9850.9601.0370.2690.2820.244oaosesc-116.608-113.759-118.6840.0000.0000.000oaosesc-0.489-0.489-0.4890.3960.3960.395aosesc-10.841-10.926-11.2830.0000.0000.000ohorastrab-1.403-0.780-1.8570.9320.9620.911ohorastrab-0.861-0.857-0.8420.1660.1680.173horastrab5.3144.6684.3040.2170.2810.316ocasado-23.147-19.101-26.0940.1340.2230.106ocasado1.8641.8601.8450.0020.0020.003casado-9.117-5.893-8.0390.7400.8300.775osoltero-19.558-17.676-20.9300.2340.2800.200osoltero-1.073-1.079-1.1000.2040.2010.192soltero10.58612.8234.6550.8600.8310.938opatrono-135.361-137.518-133.7900.0000.0000.000opatrono-0.092-0.101-0.1350.8420.8360.771patrono-201.817-208.207-211.5760.0000.0000.000ozona-27.201-30.443-24.8390.0270.0140.049ozona-1.418-1.421-1.4290.0070.0070.007zona-25.202-28.155-23.2810.3110.2520.348oblanco-21.496-21.000-21.8570.3400.3470.335oblanco-1.532-1.539-1.5660.0110.0100.010blanco-52.864-48.726-48.1280.3840.4230.427onegro-4.878-3.012-6.2380.7500.8380.688onegro-0.585-0.576-0.5430.1700.1770.213negro-10.930-12.910-15.8550.8640.8350.804onhogar46.76146.69946.8050.0010.0010.001onhogar1.9271.9271.9250.0060.0060.006nhogar19.50219.32019.2510.0000.0000.000onegruc-101.847-92.676-108.5300.0000.0000.000onegruc0.3900.3900.3860.5010.4950.500negruc-209.071-201.614-214.7210.0000.0000.000ocomercio-0.491-1.9550.5750.9770.9080.973ocomercio-1.041-1.046-1.0650.0720.0700.067comercio0.018-3.519-11.9461.0000.9090.703otransporte-50.960-48.004-53.1140.0080.0110.007otransporte-0.002-0.004-0.0110.9960.9920.978transporte-161.887-162.121-182.8380.0110.0070.004omanufactura41.49040.81241.9840.0060.0080.006omanufactura-0.203-0.206-0.2160.7020.6980.685manufactura81.11277.00874.4220.0110.0140.020oaosfun-9.816-9.226-10.2470.4430.4700.428oaosfun-0.355-0.356-0.3600.5340.5330.528aosfun-2.415-2.291-2.1580.0080.0120.016oempleados-82.213-82.421-82.0610.0020.0020.002oempleados-0.674-0.679-0.6980.2070.1980.190empleados-70.491-71.083-71.9290.0000.0000.000oambulante-14.138-16.388-12.4990.3810.3230.437oambulante-0.400-0.392-0.3610.5670.5780.610ambulante-32.718-35.210-29.9370.2640.2250.295_cons-235.482-262.147-289.0790.0000.0000.000_cons40.78340.57940.8070.0000.0000.000_cons35.34040.05430.6520.6310.5870.675R-squared0.2660.2550.240R-squared0.1570.1570.159R-squared0.3060.3050.301

PSM TOTALAlgorithm to estimate the propensity score **************************************************** The treatment is creditocredito Freq. Percent Cum.0 660 68.68 68.681 301 31.32 100.00Total 961 100.00Estimation of the propensity score Iteration 0: log likelihood = -597.40493Iteration 1: log likelihood = -530.24308Iteration 2: log likelihood = -529.13024Iteration 3: log likelihood = -529.12867Probit regressionNumber of obs =961LR chi2(17) =136.55TT estimation with Nearest Neighbor Matching method Prob > chi2 =0(random draw version)Log likelihood = -529.12867Pseudo R2 =0.1143Analytical standard errorscredito Coef.Std. Err.zP>z [95% Conf.Interval]n. treat. n. contr. ATT Std. Err. toaosesc .23207710.04456885.210.000 .14472390.3194304oedadjh -.10342610.0453434-2.280.023 -.1922975-0.0145546301 199 -59.631 37.226 -1.602ohorastrab .23739740.04521495.250.000 .14877780.326017ocasado -.01385340.044711-0.310.757 -.10148530.0737786osoltero .04928550.04386781.120.261 -.03669380.1352648Note: the numbers of treated and controls refer to actualozona .0129980.04530110.290.774 -.07579050.1017866nearest neighbour matchesonegruc .15293650.04285863.570.000 .06893520.2369378osexo -.02370780.044987-0.530.598 -.11188080.0644652attk brecha credito, pscore(pnt) comsupovivpropia -.02423170.0448633-0.540.589 -.11216210.0636988otlf .07322970.04452741.640.100 -.01404240.1605019ocomercio .15437510.04444513.470.001 .06726420.2414859The program is searching for matches of each treated unit. otransalmcom .1896550.04287864.420.000 .10561450.2736955This operation may take a while.omanufactura .10924330.04685862.330.020 .0174020.2010845oaosfun -.131820.0470826-2.80.005 -.2241001-0.0395398oempleados .18435560.04243364.340.000 .10118720.2675241ocpropia -.09122020.0447839-2.040.042 -.1789951-0.0034454ATT estimation with the Kernel Matching method oempleadop -.05760630.0435133-1.320.186 -.14289090.0276782_cons -.55221780.0455015-12.140.000 -.641399-0.4630365n. treat. n. contr. ATT Std. Err. tNote: the common support option has been selectedThe region of common support is [.06469327, .85136728]301 625 -94.579 . .Note: Analytical standard errors cannot be computed. UseDescription of the estimated propensity score the bootstrap option to get bootstrapped standard errors.in region of common support . attr brecha credito, pscore(pnt) radius(0.001) comsupEstimated propensity scorePercentiles SmallestThe program is searching for matches of treated units withinradius. 1% .0718639 .0646933This operation may take a while.5% .0922324 .065805610% .1224612 .0666589 Obs 92625% .1925833 .0666986 Sum of Wgt. 926ATT estimation with the Radius Matching method50% .3016475 Mean .3220295Analytical standard errorsLargest Std. Dev. .1661475% .4211751 .829825690% .5607946 .8335998 Variance .0276025n. treat. n. contr. ATT Std. Err. t95% .6458302 .8359353 Skewness .669343299% .7664202 .8513673 Kurtosis 2.9505224 382 -76.523 28.900 -2.648****************************************************** Note: the numbers of treated and controls refer to actualStep 1: Identification of the optimal number of blocks matches within radiusUse option detail if you want more detailed output ****************************************************** The final number of blocks is 7This number of blocks ensures that the mean propensity scoreis not different for treated and controls in each block********************************************************** Step 2: Test of balancing property of the propensity score Use option detail if you want more detailed output ********************************************************** Variable oempleados is not balanced in block 1Variable otlf is not balanced in block 6The balancing property is not satisfied Try a different specification of the propensity score ******************************************* End of the algorithm to estimate the pscore ******************************************* . attnd brecha credito, pscore(pnt) comsupCREDITO SIN ATIPICOS 958FORMAL SIN ATIPICOSThe treatment is creditoThe treatment is credfThe treatment is credinf credito | Freq. Percent Cum. credf | Freq. Percent Cum. credinf | Freq. Percent Cum.------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- 0 | 660 68.89 68.89 0 | 660 77.74 77.74 0 | 660 85.83 85.83 1 | 298 31.11 100.00 1 | 189 22.26 100.00 1 | 109 14.17 100.00------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- Total | 958 100.00 Total | 849 100.00 Total | 769 100.00Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Iteration 0: log likelihood = -593.91202Iteration 0: log likelihood = -450.13777Iteration 0: log likelihood = -313.83975Iteration 1: log likelihood = -527.4071Iteration 1: log likelihood = -384.05449Iteration 1: log likelihood = -286.749Iteration 2: log likelihood = -526.27465Iteration 2: log likelihood = -382.16256Iteration 2: log likelihood = -285.85992Iteration 3: log likelihood = -526.27297Iteration 3: log likelihood = -382.15163Iteration 3: log likelihood = -285.85605Iteration 4: log likelihood = -382.15163Iteration 4: log likelihood = -285.85605Probit regression Number of obs = 958 LR chi2(17) = 135.28Probit regression Number of obs = 849Probit regression Number of obs = 769 Prob > chi2 = 0.0000 LR chi2(17) = 135.97 LR chi2(17) = 55.97Log likelihood = -526.27297 Pseudo R2 = 0.1139 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000Log likelihood = -382.15163 Pseudo R2 = 0.1510Log likelihood = -285.85605 Pseudo R2 = 0.0892creditoCoef.Std. Err.zP>z[95% Conf.Interval]credfCoef.Std. Err.zP>z[95% Conf.Interval]credinfCoef.Std. Err.zP>z[95% Conf.Interval]oaosesc0.22142080.04469874.9500.1338130.3090285oaosesc0.25864110.05162375.0100.15746050.3598218oaosesc0.11330140.05895391.920.055-0.0022460.2288488oedadjh-0.10893950.0455705-2.390.017-0.1982561-0.019623oedadjh-0.11697480.0538668-2.170.03-0.2225517-0.0113979oedadjh-0.11132890.0611573-1.820.069-0.2311950.0085372ohorastrab0.23572890.04532315.200.14689730.3245604ohorastrab0.22876390.05233824.3700.12618290.3313449ohorastrab0.19879380.05894543.370.0010.0832630.3143246ocasado-0.01770880.0448419-0.390.693-0.10559730.0701798ocasado0.04388440.05231790.840.402-0.05865680.1464255ocasado-0.10993060.0597125-1.840.066-0.22696490.0071036osoltero0.04967080.0439031.130.258-0.03637750.1357191osoltero0.08400220.0490521.710.087-0.01213780.1801423osoltero-0.00909650.0604199-0.150.88-0.12751730.1093243ozona0.01350150.0453960.30.766-0.07547310.1024761ozona-0.01551980.0522106-0.30.766-0.11785070.086811ozona0.05502860.06253140.880.379-0.06753070.1775878onegruc0.15895380.0429833.700.07470880.2431988onegruc0.26951210.04811545.600.17520760.3638167onegruc-0.07843560.0603643-1.30.194-0.19674750.0398763osexo-0.02428450.045086-0.540.59-0.11265150.0640825osexo-0.07592370.0525293-1.450.148-0.17887920.0270319osexo0.04948650.06145630.810.421-0.07096570.1699387oviviendap~a0.05437420.04473591.220.224-0.03330660.1420549oviviendap~a0.0990040.0524661.890.059-0.00382740.2018355oviviendap~a-0.01470930.0582325-0.250.801-0.1288430.0994243otlf0.06951040.04464551.560.119-0.01799320.1570141otlf0.06842520.05189381.320.187-0.03328480.1701352otlf0.05436250.05875610.930.355-0.06079740.1695223ocomercio0.15531020.04455693.4900.06798020.2426401ocomercio0.14365380.05194672.770.0060.04184020.2454674ocomercio0.15673320.05881982.660.0080.04144860.2720178otransalmcom0.18929520.04300674.400.10500350.2735868otransalmcom0.23642370.04799944.9300.14234650.3305008otransalmcom0.0927680.05681921.630.103-0.01859560.2041316omanufactura0.11824040.04708162.510.0120.02596220.2105187omanufactura0.13456430.05643662.380.0170.02395070.245178omanufactura0.09290260.06353161.460.144-0.0316170.2174222oaosfun-0.13371730.0472657-2.830.005-0.2263563-0.0410783oaosfun-0.14415080.0571196-2.520.012-0.2561031-0.0321986oaosfun-0.1203830.0634924-1.90.058-0.24482580.0040598oempleados0.17325010.04246874.0800.09001290.2564873oempleados0.13566340.04649852.920.0040.04452810.2267987oempleados0.2059090.05481493.7600.09847370.3133443ocpropia-0.1001610.0449989-2.230.026-0.1883572-0.0119648ocpropia-0.0738450.0526282-1.40.161-0.17699440.0293044ocpropia-0.12968280.0597715-2.170.03-0.2468329-0.0125328oempleadop-0.0577490.0435784-1.330.185-0.14316110.0276631oempleadop-0.04511430.0504025-0.90.371-0.14390140.0536727oempleadop-0.09177620.05717-1.610.108-0.20382740.0202749_cons-0.56006560.0456861-12.260-0.6496087-0.4705224_cons-0.89766690.0554008-16.20-1.006251-0.7890834_cons-1.1817470.0638152-18.520-1.306822-1.056671ATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching method(random draw version)(random draw version)(random draw version)Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t------------------------------------------------------------------------------------------------------------------ 298 192 -52.387 30.115 -1.740189 130 -102.743 37.846 -2.715 109 99 -45.351 40.619 -1.116------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 298 625 -58.657 22.218 -2.640 189 614 -82.373 28.528 -2.887 109 604 -30.324 31.841 -0.952---------------------------------------------------------------------------------------------------------------------------------------------------------------------------ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t------------------------------------------------------------------------------------------------------------------ 219 373 -56.589 28.389 -1.993 126 263 -95.481 39.028 -2.447------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radius

psm nuevototalformalinformalThe treatment is creditoThe treatment is credforThe treatment is credinf credito | Freq. Percent Cum. credfor | Freq. Percent Cum. credinf | Freq. Percent Cum.------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- 0 | 673 68.60 68.60 0 | 673 77.62 77.62 0 | 673 85.51 85.51 1 | 308 31.40 100.00 1 | 194 22.38 100.00 1 | 114 14.49 100.00------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- Total | 981 100.00 Total | 867 100.00 Total | 787 100.00Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Iteration 0: log likelihood = -610.41424Iteration 0: log likelihood = -460.9197Iteration 0: log likelihood = -325.5644Iteration 1: log likelihood = -538.60874Iteration 1: log likelihood = -388.67919Iteration 1: log likelihood = -292.366Iteration 2: log likelihood = -537.33673Iteration 2: log likelihood = -386.36733Iteration 2: log likelihood = -291.12664Iteration 3: log likelihood = -537.3347Iteration 3: log likelihood = -386.35097Iteration 3: log likelihood = -291.11904Iteration 4: log likelihood = -386.35096Iteration 4: log likelihood = -291.11904Probit regression Number of obs = 981 LR chi2(17) = 146.16Probit regression Number of obs = 867Probit regression Number of obs = 787 Prob > chi2 = 0.0000 LR chi2(17) = 149.14 LR chi2(17) = 68.89Log likelihood = -537.3347 Pseudo R2 = 0.1197 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000Log likelihood = -386.35096 Pseudo R2 = 0.1618Log likelihood = -291.11904 Pseudo R2 = 0.1058creditoCoef.Std. Err.zP>z[95% Conf.Interval]credforCoef.Std. Err.zP>z[95% Conf.Interval]credinfCoef.Std. Err.zP>z[95% Conf.Interval]osexo-0.00781660.0448074-0.170.862-0.09563740.0800042oedadjh-0.11691470.045208-2.590.01-0.2055206-0.0283087osexo-0.06343510.0525202-1.210.227-0.16637280.0395026osexo0.07134040.06175331.160.248-0.0496940.1923747oaosesc0.23905620.04571685.2300.14945290.3286595oedadjh-0.1077480.0538376-20.045-0.2132678-0.0022282oedadjh-0.1470430.0611476-2.40.016-0.26689-0.0271959ohorastrab0.23873770.04538895.2600.1497770.3276983oaosesc0.28938270.05301045.4600.18548420.3932812oaosesc0.11691410.06078311.920.054-0.00221850.2360468ocasado-0.03235510.0445138-0.730.467-0.11960060.0548904ohorastrab0.23251170.05310234.3800.12843310.3365903ohorastrab0.20076930.05970463.360.0010.08375050.3177881osoltero0.05178740.04327671.20.231-0.03303340.1366083ocasado0.02498520.05210720.480.632-0.07714310.1271134ocasado-0.11636870.0597096-1.950.051-0.23339740.0006601opatrono0.14931080.04206643.5500.06686210.2317595osoltero0.0929970.04836091.920.054-0.00178860.1877826osoltero-0.02105140.0609561-0.350.73-0.14052320.0984204zona-0.0322240.1384403-0.230.816-0.30356210.239114opatrono0.1081160.04737682.280.0220.01525930.2009728opatrono0.20246360.05294533.8200.09869260.3062345onegruc0.15644650.04268333.6700.07278870.2401043zona-0.14674180.1581422-0.930.353-0.45669470.1632112zona0.08224690.1920480.430.668-0.29416020.458654ocomercio0.15428420.04415853.4900.06773510.2408334onegruc0.26746170.0478785.5900.17362250.3613009onegruc-0.08387370.0607557-1.380.167-0.20295260.0352052otransporte0.1752780.04251244.1200.09195520.2586008ocomercio0.14629110.0515972.840.0050.04516290.2474193ocomercio0.16074820.05874692.740.0060.04560630.27589omanufactura0.12205850.0466932.610.0090.03054180.2135752otransporte0.2244840.04745734.7300.13146940.3174985otransporte0.09270450.05642771.640.1-0.01789170.2033008oaosfun-0.14247520.0469462-3.030.002-0.234488-0.0504623omanufactura0.12248080.05637842.170.030.01198110.2329805omanufactura0.10378660.06294081.650.099-0.0195750.2271482oempleados0.16783480.04240853.9600.08471570.2509539oaosfun-0.15099120.0569294-2.650.008-0.2625708-0.0394116oaosfun-0.14147010.0641523-2.210.027-0.2672064-0.0157338oambulante-0.04094980.0451514-0.910.364-0.12944480.0475453oempleados0.12943010.04656462.780.0050.03816520.2206951oempleados0.20724130.05616673.6900.09715660.3173261ovivpropia0.05754250.04433811.30.194-0.02935860.1444436oambulante-0.09716390.0545556-1.780.075-0.2040910.0097631oambulante0.02827820.05930260.480.633-0.08795280.1445092otelef0.06432610.04419641.460.146-0.02229730.1509495ovivpropia0.10173080.05229261.950.052-0.00076080.2042224ovivpropia-0.0119130.0576999-0.210.836-0.12500280.1011767_cons-0.52571270.1277657-4.110-0.7761288-0.2752966otelef0.15419510.05201772.960.0030.05224240.2561479otelef-0.06656070.0584488-1.140.255-0.18111820.0479969_cons-0.77945510.145412-5.360-1.064457-0.4944529_cons-1.2577530.178207-7.060-1.607032-0.9084735ATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching method(random draw version)(random draw version)(random draw version)Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 308 202 -70.628 53.768 -1.314 194 139 -116.818 67.824 -1.722 114 95 18.067 86.304 0.209---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 308 642 -97.283 41.031 -2.371 194 599 -109.809 56.356 -1.948 114 638 -40.002 56.403 -0.709---------------------------------------------------------------------------------------------------------------------------------------------------------------------------ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 219 377 -140.882 50.515 -2.789 136 260 -146.815 60.800 -2.415 87 282 -55.393 73.543 -0.753---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radiusmatches within radiusATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 302 642 -173.140 37.282 -4.644 192 599 -218.468 48.906 -4.467 111 608 -107.609 55.825 -1.928---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radiusmatches within radius

estimaciones de impacto tratadoscontrolesATTStd. Errtestimacion del PSMcreditovecino mas cercano308202-70,62853,768-1,314creditocreditocredito formalcredito informalkernel308642-97,28341,031-2,371osexo-0.008-0.0630.0710.8620.2270.248radius219377-140,88250,515-2,789oedadjh-0.117-0.108-0.1470.0100.0450.016creditovecino mas cercano194139-116,81867,845-1,722oaosesc0.2390.2890.1170.0000.0000.054kernel194599-109,80956,356-1,948ohorastrab0.2390.2330.2010.0000.0000.001radius136260-146,81560,800-2,415ocasado-0.0320.025-0.1160.4670.6320.051credito informalvecino mas cercano1149518,06786,3040.209osoltero0.0520.093-0.0210.2310.0540.730kernel114638-40,00256,403 -0.709opatrono0.1490.1080.2020.0000.0220.000radius87282-55,39373,543-0.753zona-0.032-0.1470.0820.8160.3530.668onegruc0.1560.267-0.0840.0000.0000.167ocomercio0.1540.1460.1610.0000.0050.006 otransporte0.1750.2240.0930.0000.0000.100omanufactura0.1220.1220.1040.0090.0300.099conformacion del grupo de tratamiento y grupo de controloaosfun-0.142-0.151-0.1410.0020.0080.027creditofrecuenciaporcentajecum.oempleados0.1680.1290.2070.0000.0050.000credito067368.6068.60oambulante-0.041-0.0970.0280.3640.0750.633130831.40 100.00ovivpropia0.0580.102-0.0120.1940.0520.836credito formal0673 77.62 77.62otelef0.0640.154-0.0670.1460.0030.2551194 22.38 100.00_cons-0.526-0.779-1.2580.0000.000credito informal067385.5185.51 Pseudo R2 0.11970.1618 0.1058111414.49 100.00Log likelihood-5373347.000-38635096.000-29111904.000 LR chi2(17) 146.16 149.14 68.89Prob > chi2 0.00000.0000 0.0000area de soporte comuncredito productivo general0.6161559, 0.8254695credito productivo formal0.3747792, 0.78565971credito productivo informal0.01619665, 0.58298996

GUAYASCREDITOFORMALINFORMALNUEVOformalThe treatment is creditoThe treatment is credfThe treatment is credinThe treatment is creditoThe treatment is credf credito | Freq. Percent Cum. credf | Freq. Percent Cum. credin | Freq. Percent Cum. credito | Freq. Percent Cum. credf | Freq. Percent Cum.------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- 0 | 404 72.79 72.79 0 | 478 86.13 86.13 0 | 481 86.67 86.67 0 | 404 72.79 72.79 0 | 404 83.99 83.99 1 | 151 27.21 100.00 1 | 77 13.87 100.00 1 | 74 13.33 100.00 1 | 151 27.21 100.00 1 | 77 16.01 100.00------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- Total | 555 100.00 Total | 555 100.00 Total | 555 100.00 Total | 555 100.00 Total | 481 100.00Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Iteration 0: log likelihood = -324.84644Iteration 0: log likelihood = -223.48036Iteration 0: log likelihood = -217.93433Iteration 0: log likelihood = -324.84644Iteration 0: log likelihood = -211.54753Iteration 1: log likelihood = -290.35347Iteration 1: log likelihood = -196.61126Iteration 1: log likelihood = -198.45782Iteration 1: log likelihood = -289.99186Iteration 1: log likelihood = -181.43579Iteration 2: log likelihood = -289.51478Iteration 2: log likelihood = -195.91769Iteration 2: log likelihood = -197.44846Iteration 2: log likelihood = -289.16424Iteration 2: log likelihood = -180.4213Iteration 3: log likelihood = -289.512Iteration 3: log likelihood = -195.91481Iteration 3: log likelihood = -197.43735Iteration 3: log likelihood = -289.16157Iteration 3: log likelihood = -180.41326Iteration 4: log likelihood = -289.512Iteration 4: log likelihood = -195.91481Iteration 4: log likelihood = -197.43735Iteration 4: log likelihood = -289.16157Iteration 4: log likelihood = -180.41326Probit regression Number of obs = 555Probit regression Number of obs = 481Probit regression Number of obs = 555Probit regression Number of obs = 555Probit regression Number of obs = 555 LR chi2(17) = 71.37 LR chi2(16) = 62.27 LR chi2(18) = 70.67 LR chi2(18) = 55.13 LR chi2(18) = 40.99 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000 Prob > chi2 = 0.0015Log likelihood = -289.16157 Pseudo R2 = 0.1099Log likelihood = -180.41326 Pseudo R2 = 0.1472Log likelihood = -289.512 Pseudo R2 = 0.1088Log likelihood = -195.91481 Pseudo R2 = 0.1233Log likelihood = -197.43735 Pseudo R2 = 0.0941creditoCoef. Std.Err.Z P>z [95% Conf. Interval]credfCoef. Std.Err.zP>z [95%Conf. Interval]credinCoef.Std. Err.zP>z[95% Conf.Interval]creditoCoef.Std. Err.zP>z[95% Conf.Interval]credfCoef.Std. Err.zP>z[95% Conf.Interval]oaosesc0.13796950.05951592.320.020 .0213205 .2546184oaosesc0.2094110.07029652.980.003.0716325 .3471896oaosesc-0.01594240.0717256-0.220.824-0.1565220.1246373oaosesc0.13862510.05961852.330.020.0217750.2554753oaosesc0.2288560.07451723.070.0020.0828050.3749071oedadjh-0.16291670.0621659-2.620.009 -.2847596 -.0410738oedadjh-0.15096830.0746305-2.020.043-0.3019365oedadjh-0.11735420.0734583-1.60.11-0.26132990.0266215oedadjh-0.16396880.0623007-2.630.008-0.286076-0.0418616oedadjh-0.19002390.079432-2.390.017-0.3457077-0.0343401ohorastrab0.26438660.0648534.080.000 .137277 .3914961ohorastrab0.1599650.07482872.140.033.0133035 .3066266ohorastrab0.22085040.07650342.890.0040.07090650.3707944ohorastrab0.26389110.06482194.0700.13684250.3909397ohorastrab0.20955480.0809392.590.010.05091730.3681924ocasado0.03680690.05972240.620.538 -.0802468 .1538606ocasado0.0811490.07050251.150.25-.0570334 .2193314ocasado-0.03104340.0710815-0.440.662-0.17036060.1082737ocasado0.03698480.05975450.620.536-0.08013180.1541015ocasado0.0830520.07409511.120.262-0.06217160.2282757osoltero0.00248290.06045650.040.967 -.1160096 .1209755osoltero0.03057450.06885080.440.657-.1043706 .1655196osoltero-0.06281760.0800186-0.790.432-0.21965120.094016osoltero0.00221430.06049710.040.971-0.11635790.1207865osoltero0.02532150.07257060.350.727-0.11691440.1675573ozona-0.03557870.0594652-0.60.550 -.1521284 .080971ozona0.02629630.08035280.330.743-.1311924 .183785ozona-0.05430740.0652973-0.830.406-0.18228770.0736729ozona-0.03568660.0596067-0.60.549-0.15251360.0811404ozona0.02381760.08307140.290.774-0.13899950.1866346onegruc0.12955440.05789492.240.025 .0160826 .2430263onegruc0.26738230.06223094.30.1454119 .3893526onegruc-0.15306570.0788857-1.940.052-0.30767880.0015475onegruc0.12959730.05777782.240.0250.01635490.2428397onegruc0.26851840.06650494.0400.13817110.3988657osexo-0.11179160.0608073-1.840.066 -.2309718 .0073886osexo-0.17325750.0723092-2.40.017-0.3465149osexo-0.00179780.0724611-0.020.98-0.1438190.1402235osexo-0.11134210.0609034-1.830.068-0.23071060.0080264osexo-0.18385410.0764195-2.410.016-0.3336335-0.0340747onhogar0.02968670.06230190.480.634 -.0924227 .1517961onhogar0.00487310.0770450.060.95-.1461323 .1558786onhogar0.03287480.07169310.460.647-0.10764110.1733907oviviendap~a0.06203120.0607551.020.307-0.05704630.1811087oviviendap~a0.14947110.08017781.860.062-0.00767450.3066168ovivpropia-0.03108610.0612473-0.510.612 -.1511285 .0889564ovivpropia0.03991670.06991910.570.568-.0971223 .1769556ovivpropia-0.08426110.0753689-1.120.264-0.23198150.0634594otlf0.08943110.06000541.490.136-0.02817730.2070395ocomercio0.15727190.07512062.090.0360.01003830.3045056otlf0.08554720.06002151.430.154 -.0320927 .2031871otlf-0.00300550.0715474-0.040.966-.1432358 .1372248otlf0.12148280.07055781.720.085-0.0168080.2597736ocomercio0.22014840.06026223.6500.10203670.33826otransalmcom0.15761560.07092872.220.0260.01859790.2966333ocomercio0.22305040.06029823.70.000 .104868 .3412327ocomercio0.12230420.07174131.70.088-.0183062 .2629147ocomercio0.22502880.07299643.080.0020.08195840.3680992otransalmcom0.12568190.0591942.120.0340.00966380.2417001omanufactura0.07040460.08190610.860.39-0.09012830.2309376otransalmcom0.13103640.0593232.210.027 .0147654 .2473073otransalmcom0.15849120.06752162.350.019.0261513 .2908312otransalmcom0.06805680.07445270.910.361-0.07786790.2139815omanufactura0.14850380.06376522.330.020.02352640.2734813oaosfun-0.00152020.0804984-0.020.985-0.15929410.1562536omanufactura0.14669770.06367022.30.021 .0219063 .2714891omanufactura0.0431680.07855410.550.583-.1107952 .1971313omanufactura0.19692280.07809482.520.0120.04385980.3499857oaosfun-0.02068130.0617093-0.340.738-0.14162930.1002667oempleados0.09627270.06356391.510.13-0.02831020.2208556oaosfun-0.02398060.0617563-0.390.698 -.1450206 .0970595oaosfun-0.0154660.0768566-0.20.841-.1661022 .1351701oaosfun-0.02053790.0714031-0.290.774-0.16048550.1194097oempleados0.16067970.05603592.870.0040.05085130.270508ocpropia-0.0869930.0755997-1.150.25-0.23516580.0611798oempleados0.15905220.05594432.840.004 .0494034 .268701oempleados0.08402530.06090991.380.168-.035356 .2034066oempleados0.16378750.06892452.380.0170.02869790.298877ocpropia-0.10261810.0602807-1.70.089-0.22076620.0155299oempleadop-0.04274780.0727826-0.590.557-0.1853990.0999034ocpropia-0.09925670.0601775-1.650.099 -.2172025 .0186892ocpropia-0.05854140.0722333-0.810.418-.200116 .0830332ocpropia-0.10185320.0711995-1.430.153-0.24140170.0376953oempleadop-0.05023250.0584277-0.860.39-0.16474880.0642837_cons-1.1556470.0825074-14.010-1.317359-0.9939355oempleadop-0.04902790.058519-0.840.402 -.1637231 .0656673oempleadop-0.01497440.0699965-0.210.831-.1521649 .1222162oempleadop-0.06267670.0683699-0.920.359-0.19667920.0713258_cons-0.69117050.0624945-11.060-0.8136575-0.5686835_cons-0.68983770.0624014-11.050.000 -.8121422 -.5675333_cons-1.2188110.0769394-15.840-2.437621_cons-1.2380890.0788376-15.70-1.392608-1.08357ATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching method(random draw version)(random draw version)(random draw version)(random draw version)(random draw version)Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 151 99 -30.576 37.820 -0.808 77 59 -29.535 55.713 -0.530 151 101 -43.976 44.267 -0.993 77 64 -69.321 50.564 -1.371 74 58 -12.231 52.549 -0.233---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodBootstrapped standard errorsBootstrapped standard errorsATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err.tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t------------------------------------------------------------------------------------------------------------------ 151 336 -36.356 31.061 -1.170 77 328 -42.777 39.707 -1.07792 147 -30.312 45.913-0.66 50 144 -51.338 45.840 -1.120 53 116 -9.334 57.132 -0.163------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ATT estimation with the Radius Matching methodNote: the numbers of treated and controls refertoactualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actual0.001ATT estimation with the Radius Matching methodBootstrapped standard errorsmatches within radiusmatches within radiusmatches within radiusBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t---------------------------------------------------------ATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching method---------------------------------------------------------Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors 46 107 -63.747 67.140 -0.949 101 149 -27.131 45.609 -0.595------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t---------------------------------------------------------Note: the numbers of treated and controls refer to actual---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualmatches within radiusmatches within radius 151 347 -36.071 27.314 -1.321 77 422 -49.768 38.412 -1.296 74 428 -6.677 39.545 -0.169---------------------------------------------------------------------------------------------------------------------------------------------------------------------------ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodAnalytical standard errorsBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t------------------------------------------------------------------------------------------------------------------ 140 330 -67.571 29.261 -2.309 46 107 -63.747 67.140 -0.949------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radius. . attr brecha credf, pscore(pnt) radius(0.01) comsup bootstrap reps (200) The program is searching for matches of treated units within radius. This operation may take a while.ATT estimation with the Radius Matching methodAnalytical standard errors---------------------------------------------------------n. treat. n. contr. ATT Std. Err. t--------------------------------------------------------- 73 326 -84.693 42.301 -2.002---------------------------------------------------------Note: the numbers of treated and controls refer to actualmatches within radiusBootstrapping of standard errors command: attr brecha credf , pscore(pnt) comsup radius(.01)statistic: r(attr)(obs=481)Bootstrap statisticsVariable | Reps Observed Bias Std. Err. [95% Conf. Interval]---------+------------------------------------------------------------------- bs1 | 200 -84.6935 12.2961 40.01094 -163.5933 -5.793661 (N) | -153.7247 6.980805 (P) | -169.8741 -14.74413 (BC)----------------------------------------------------------------------------- N = normal, P = percentile, BC = bias-correctedATT estimation with the Radius Matching methodBootstrapped standard errors---------------------------------------------------------n. treat. n. contr. ATT Std. Err. t--------------------------------------------------------- 73 326 -84.693 40.011 -2.117---------------------------------------------------------Note: the numbers of treated and controls refer to actualmatches within radius

guayas nuevototalFORMALINFORMALThe treatment is creditoThe treatment is credforThe treatment is credinf credito | Freq. Percent Cum. credfor | Freq. Percent Cum. credinf | Freq. Percent Cum.------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- 0 | 405 72.58 72.58 0 | 405 84.20 84.20 0 | 405 84.02 84.02 1 | 153 27.42 100.00 1 | 76 15.80 100.00 1 | 77 15.98 100.00------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- Total | 558 100.00 Total | 481 100.00 Total | 482 100.00Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Iteration 0: log likelihood = -327.76104Iteration 0: log likelihood = -209.88216Iteration 0: log likelihood = -211.72178Iteration 1: log likelihood = -292.3765Iteration 1: log likelihood = -179.21586Iteration 1: log likelihood = -186.41842Iteration 2: log likelihood = -291.49456Iteration 2: log likelihood = -178.00864Iteration 2: log likelihood = -184.80046Iteration 3: log likelihood = -291.49186Iteration 3: log likelihood = -177.99707Iteration 3: log likelihood = -184.77209Iteration 4: log likelihood = -291.49186Iteration 4: log likelihood = -177.99707Iteration 4: log likelihood = -184.77208Probit regression Number of obs = 558Probit regression Number of obs = 481Probit regression Number of obs = 482 LR chi2(17) = 72.54 LR chi2(17) = 63.77 LR chi2(17) = 53.90 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000 Prob > chi2 = 0.0000Log likelihood = -291.49186 Pseudo R2 = 0.1107Log likelihood = -177.99707 Pseudo R2 = 0.1519Log likelihood = -184.77208 Pseudo R2 = 0.1273creditoCoef.Std. Err.zP>z[95% Conf.Interval]credforCoef.Std. Err.zP>z[95% Conf.Interval]credinfCoef.Std. Err.zP>z[95% Conf.Interval]osexo-0.10122110.0615445-1.640.1-0.2218460.0194038osexo-0.17519650.0776044-2.260.024-0.3272982-0.0230947osexo-0.00768740.0777552-0.10.921-0.16008480.14471oedadjh-0.17874760.0619968-2.880.004-0.3002591-0.0572361oedadjh-0.1946280.080521-2.420.016-0.3524462-0.0368098oedadjh-0.18350670.0774404-2.370.018-0.3352872-0.0317262oaosesc0.1637420.06078452.690.0070.04460650.2828774oaosesc0.24163570.07576033.190.0010.09314830.3901231oaosesc0.04266870.07576810.560.573-0.1058340.1911714ohorastrab0.2569270.06408954.0100.13131390.3825401ohorastrab0.19969090.08103452.460.0140.04086630.3585156ohorastrab0.26811340.08135883.30.0010.1086530.4275739ocasado0.02579490.05952220.430.665-0.09086660.1424563ocasado0.06953480.07457370.930.351-0.0766270.2156966ocasado-0.02262320.0739233-0.310.76-0.16751030.1222639osoltero0.00210470.06011630.040.972-0.11572120.1199305osoltero0.02277140.07264920.310.754-0.11961840.1651613osoltero-0.04793980.0819587-0.580.559-0.20857590.1126964opatrono0.12234280.0574532.130.0330.00973690.2349486opatrono0.0431220.0707460.610.542-0.09553760.1817816opatrono0.21158910.06935433.050.0020.07565730.347521zona-0.28801310.2679611-1.070.282-0.81320730.237181zona-0.00642730.3880912-0.020.987-0.76707210.7542174zona-0.39118860.3062417-1.280.201-0.99141130.209034onegruc0.1119330.05785541.930.053-0.00146160.2253275onegruc0.25987440.06735163.8600.12786760.3918811onegruc-0.12279670.0818487-1.50.134-0.28321720.0376238ocomercio0.21985960.06015283.6600.10196210.337757ocomercio0.15698530.07581632.070.0380.0083880.3055825ocomercio0.27621660.07699413.5900.1253110.4271222otransporte0.12837130.05902872.170.030.01267720.2440654otransporte0.16827270.07082722.380.0180.02945410.3070914otransporte0.10591370.07647341.380.166-0.04397150.2557989omanufactura0.16678810.06348422.630.0090.04236120.2912149omanufactura0.07311940.08256990.890.376-0.08871470.2349535omanufactura0.24411380.08283992.950.0030.08175050.4064771oaosfun-0.02650690.062294-0.430.67-0.14860080.095587oaosfun-0.01511110.0821486-0.180.854-0.17611950.1458973oaosfun-0.03940190.0766263-0.510.607-0.18958670.1107829oempleados0.15503290.05608422.760.0060.04510990.2649559oempleados0.08619710.0647391.330.183-0.04068910.2130833oempleados0.19354030.07100142.730.0060.05438010.3327005oambulante-0.06878760.0625266-1.10.271-0.19133750.0537623oambulante-0.19608980.0825453-2.380.018-0.3578757-0.0343039oambulante0.01804030.07678980.230.814-0.13246490.1685455ovivpropia0.05300730.06040740.880.38-0.0653890.1714035ovivpropia0.13080520.07985771.640.101-0.02571310.2873235ovivpropia-0.00935480.0725481-0.130.897-0.15154630.1328368otelef0.00660660.06113550.110.914-0.11321670.1264299otelef0.047730.07692310.620.535-0.10303650.1984965otelef-0.04315290.0754154-0.570.567-0.19096430.1046585_cons-0.41346370.2575485-1.610.108-0.91824960.0913222_cons-1.1688520.3774452-3.10.002-1.908631-0.4290725_cons-0.793450.2940081-2.70.007-1.369695-0.2172047ATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching method(random draw version)(random draw version)(random draw version)Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 153 103 -63.519 77.297 -0.822 76 56 -147.328 91.958 -1.602 77 57 -83.923 109.048 -0.770---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 153 364 -71.000 52.207 -1.360 76 317 -104.460 73.143 -1.428 77 310 14.665 94.039 0.156---------------------------------------------------------------------------------------------------------------------------------------------------------------------------0.001ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 96 167 -102.076 77.852 -1.311 46 101 -108.086 118.248 -0.914 51 101 -73.952 94.361 -0.784---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radiusmatches within radius0.01ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 142 363 -131.631 50.124 -2.626 74 297 -184.531 81.791 -2.256 70 301 -58.328 66.697 -0.875---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radiusmatches within radiusATT estimation with the Stratification methodATT estimation with the Stratification methodATT estimation with the Stratification methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 153 364 -52.470 49.424 -1.062 76 317 -99.370 78.701 -1.263 77 310 39.948 104.321 0.383--------------------------------------------------------------------------------------------------------------------------------------------------------------------------estimaciones de impacto en GuayastratadoscontrolesATTStd. Errtestimacion del PSM en Guayascreditovecino mas cercano153103-63.51977.297-0.822creditocreditocredito formalcredito informalkernel153364-71.00052.207-1.360osexo-0.101-0.175-0.0080.1000.0240.921radius96167-102.07677.852-1.311oedadjh-0.179-0.195-0.1840.0040.0160.018estratificado153364-52.47049.424-1.062oaosesc0.1640.2420.0430.0070.0010.573credito formalvecino mas cercano7656-147.32891.958-1.602ohorastrab0.2570.2000.2680.0000.0140.001kernel76317-104.46073.143-1.428ocasado0.0260.070-0.0230.6650.3510.760radius74297-108.08681.791-2.256osoltero0.0020.023-0.0480.9720.7540.559estratificado76317-99.37078.701-1.263opatrono0.1220.0430.2120.0330.5420.002credito informalvecino mas cercano7757-83.923109.048-0.770zona-0.288-0.006-0.3910.2820.9870.201kernel7731014.66594.0390.156onegruc0.1120.260-0.1230.0530.0000.134radius70301-58.32866.697-0.875ocomercio0.2200.1570.2760.0000.0380.000estratificado7731039.948104.3210.383otransporte0.1280.1680.1060.0300.0180.166omanufactura0.1670.0730.2440.0090.3760.003oaosfun-0.027-0.015-0.0390.6700.8540.607oempleados0.1550.0860.1940.0060.1830.006conformacion del grupo de tratamiento y grupo de control en guayasoambulante-0.069-0.1960.0180.2710.0180.814creditofrecuenciaporcentajecum.ovivpropia0.0530.131-0.0090.3800.1010.897credito040572.58072.580otelef0.0070.048-0.0430.9140.5350.567115327.420100.000_cons-0.413-1.169-0.7930.1080.0020.007credito formal040584.20084.200 Pseudo R2 0.1110.1520.12717615.800100.000Log likelihood-291.492-177.997-184.772credito informal040584.02084.020 LR chi2(17)72.54063.77053.90017715.980100.000Prob > chi2 0.0000.0000.000

area de soporte comuncredito productivo general0.06734553, 0.77042818credito productivo formal0.03879905, 0.69595615credito productivo informal0.04763885, 0.71883183

AZUAYCREDITOFORMALINFORMALnuevoformalThe treatment is creditoThe treatment is credfThe treatment is credinThe treatment is creditoThe treatment is credf credito | Freq. Percent Cum. credf | Freq. Percent Cum. credin | Freq. Percent Cum. credito | Freq. Percent Cum. credf | Freq. Percent Cum.------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- 0 | 121 71.18 71.18 0 | 136 80.00 80.00 0 | 155 91.18 91.18 0 | 121 71.60 71.60 0 | 121 78.57 78.57 1 | 49 28.82 100.00 1 | 34 20.00 100.00 1 | 15 8.82 100.00 1 | 48 28.40 100.00 1 | 33 21.43 100.00------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+-----------------------------------------------+----------------------------------- Total | 170 100.00 Total | 170 100.00 Total | 170 100.00 Total | 169 100.00 Total | 154 100.00Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Estimation of the propensity score Iteration 0: log likelihood = -102.09588Iteration 0: log likelihood = -85.068412Iteration 0: log likelihood = -100.84458Iteration 0: log likelihood = -80.015295Iteration 1: log likelihood = -80.531019Iteration 1: log likelihood = -63.275544Iteration 1: log likelihood = -81.779656Iteration 1: log likelihood = -61.789316Iteration 2: log likelihood = -78.723466Iteration 2: log likelihood = -61.571195Iteration 2: log likelihood = -80.137885Iteration 2: log likelihood = -60.878139Iteration 3: log likelihood = -78.616347Iteration 3: log likelihood = -61.45524Iteration 3: log likelihood = -80.038725Iteration 3: log likelihood = -60.856434Iteration 4: log likelihood = -78.615661Iteration 4: log likelihood = -61.454174Iteration 4: log likelihood = -80.038176Iteration 4: log likelihood = -60.856402Iteration 5: log likelihood = -78.615661Iteration 5: log likelihood = -61.454174Iteration 5: log likelihood = -80.038176Iteration 5: log likelihood = -60.856402Probit regression Number of obs = 170Probit regression Number of obs = 170Probit regression Number of obs = 170Probit regression Number of obs = 169Probit regression Number of obs = 154 LR chi2(18) = 46.96 LR chi2(17) = 47.23 LR chi2(18) = 16.68 LR chi2(16) = 41.61 LR chi2(15) = 38.32 Prob > chi2 = 0.0002 Prob > chi2 = 0.0001 Prob > chi2 = 0.5453 Prob > chi2 = 0.0005 Prob > chi2 = 0.0008Log likelihood = -78.615661 Pseudo R2 = 0.2300Log likelihood = -61.454174 Pseudo R2 = 0.2776Log likelihood = -42.395086 Pseudo R2 = 0.1644Log likelihood = -80.038176 Pseudo R2 = 0.2063Log likelihood = -60.856402 Pseudo R2 = 0.2394creditoCoef. Std. Err.Z P>z[95% Conf. Interval]credfCoef. Std.Err.zP>z [95% Conf. Interval]credinCoef. Std.Err.zP>z [95% Conf. Interval]creditoCoef.Std. Err.zP>z[95% Conf.Interval]oaosesc.491091 .12512643.920.2458478 .7363342oaosesc0.46331890.13932543.330.001 .190246 .7363917oaosesc0.23518680.16589921.420.156 -.0899697 .5603432credfCoef.Std. Err.zP>z[95% Conf.Interval]oedadjh.1455454 .11502511.270.206-.0798996 .3709904oedadjh0.17537750.13650821.280.199 -.0921738 .4429287oedadjh-0.1039550.1472157-0.710.480 -.3924925 .1845825oaosesc0.46473810.12269833.7900.22425380.7052223ohorastrab.2144916 .12089891.770.076-.0224658 .451449ocasado0.0296860.14052770.210.833 -.2457432 .3051152ohorastrab0.10597230.15912210.670.505 -.2059014 .417846oedadjh0.12909670.113961.130.257-0.09426070.3524541oaosesc0.41496440.12930393.210.0010.16153340.6683954ocasado-.0237534 .1198954-0.20.843-.258744 .2112372osoltero-0.11040510.173203-0.640.524 -.4498767 .2290665ocasado-0.17927620.1534523-1.170.243 -.4800371 .1214847ohorastrab0.19760410.11954761.650.098-0.03670480.431913oedadjh0.17784250.13302911.340.181-0.08288960.4385746osoltero.0074825 .12772420.060.953-.2428523 .2578173ozona-0.05269550.1381179-0.380.703 -.3234017 .2180107osoltero-0.04703960.1382102-0.340.734 -.3179266 .2238474ocasado-0.03097930.1185795-0.260.794-0.26339080.2014322ohorastrab0.11528170.13562090.850.395-0.15053030.3810937ozona.0725793 .12187410.60.551-.1662895 .3114481onegruc0.21686750.12158681.780.074 -.0214383 .4551733ozona0.150420.16744490.90.369 -.177766 .4786059osoltero0.01750790.12653420.140.89-0.23049450.2655102ocasado-0.00747690.1398297-0.050.957-0.2815380.2665842onegruc.1532629 .10752841.430.154-.0574889 .3640147osexo0.33167030.16873931.970.049 .0009473 .6623934onegruc-0.39671140.1445165-2.750.006 -.6799586 -.1134643ozona0.08701830.12003550.720.468-0.1482470.3222835osoltero-0.10597790.187269-0.570.571-0.47301850.2610626osexo.2823027 .141222420.046.0055119 .5590936onhogar0.11141910.14222280.780.433 -.1673324 .3901707osexo-0.07949290.1716155-0.460.643 -.4158531 .2568673onegruc0.16285760.10647321.530.126-0.0458260.3715413ozona-0.00712450.1366014-0.050.958-0.27485840.2606093onhogar.0783336 .12680670.620.537-.1702029 .32687ovivpropia-0.00085070.1327397-0.010.995 -.2610158 .2593144onhogar-0.05964260.1745048-0.340.733 -.4016657 .2823805osexo0.286050.14126922.020.0430.00916740.5629326onegruc0.21076130.12175871.730.083-0.02788140.449404ovivpropia-.0918167 .1212739-0.760.449-.3295092 .1458757otlf0.08943170.13335110.670.502 -.1719317 .3507951ovivpropia-0.41496370.1856291-2.240.025 -.77879 -.0511375oviviendap~a0.06877950.11613450.590.554-0.15883980.2963989osexo0.29915120.1614651.850.064-0.01731440.6156168otlf.1023827 .11771320.870.384-.128331 .3330963ocomercio0.04283040.12906770.330.740 -.2101376 .2957984otlf-0.04529690.156846-0.290.773 -.3527093 .2621156ocomercio0.07967190.11543450.690.49-0.14657550.3059192oviviendap~a0.06235950.1349370.460.644-0.20211220.3268311ocomercio.0657559 .11634630.570.572-.1622787 .2937905otransalmcom0.42156490.11853663.560.000 .1892375 .6538923ocomercio0.42621180.15757712.70.007 .1173664 .7350572otransalmcom0.32840050.11388252.880.0040.1051950.551606ocomercio0.03248190.12805260.250.8-0.21849660.2834603otransalmcom.3481234 .11461523.040.002.1234817 .5727651omanufactura-0.03473260.1390673-0.250.803 -.3072996 .2378344otransalmcom-1.120321... . .omanufactura0.04484620.12177540.370.713-0.19382920.2835216otransalmcom0.39287310.12069683.260.0010.15631170.6294346omanufactura.0119195 .12150130.10.922-.2262186 .2500576oaosfun-0.30966810.1808368-1.710.087 -.6641016 .0447655omanufactura0.07432430.15775440.470.638 -.2348686 .3835173oaosfun-0.47299850.1609007-2.940.003-0.7883581-0.157639omanufactura0.00859950.13921970.060.951-0.26426620.2814652oaosfun-.4567014 .1620243-2.820.005-0.9134028oempleados0.37424710.12872472.910.004 .1219513 .6265429oaosfun-0.47298870.2278065-2.080.038 -.9194813 -.0264961oempleados0.21735110.11026261.970.0490.00124030.433462oempleados0.29015310.1216852.380.0170.0516550.5286513oempleados.279955 .11580022.420.016.0529907 .5069192ocpropia0.06432410.1439320.450.655 -.2177776 .3464257oempleados-0.04860840.1645926-0.30.768 -.371204 .2739871ocpropia-0.00387410.122605-0.030.975-0.24417550.2364274ocpropia0.05974870.14111890.420.672-0.21683930.3363366ocpropia-.0200209 .123709-0.160.871-.2624861 .2224442oempleadop-0.21443960.143334-1.50.135 -.4953692 .0664899ocpropia-0.05751540.1589985-0.360.718 -.3691467 .254116oempleadop-0.06360750.1045145-0.610.543-0.26845220.1412371oempleadop-0.20598590.1441862-1.430.153-0.48858580.0766139oempleadop-.0828123 .1051835-0.790.431-.2889681 .1233434_cons-1.1578130.1651055-7.010.000 -1.481414 -.8342127oempleadop0.06720170.12464030.540.590 -.1770887 .3114922_cons-0.77524070.1351029-5.740-1.040037-0.5104439_cons-1.002550.1460772-6.860-1.288856-0.7162435_cons-.7782732 .13735-5.670-1.5565462_cons-1.9113820.1995463-9.580.000 -2.302486 -1.520279ATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching methodATT estimation with Nearest Neighbor Matching method(random draw version)(random draw version)(random draw version)(random draw version)(random draw version)Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 48 32 -196.429 67.408 -2.914 33 22 -164.167 86.314 -1.902 49 28 -308.723 97.012 -3.182 34 19 -293.204 145.464 -2.016 15 14 -57.236 123.647 -0.463---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesnearest neighbour matchesATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodBootstrapped standard errorsBootstrapped standard errors0.001ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 48 79 -219.373 55.609 -3.945 33 92 -241.278 79.684 -3.028 9 10 -140.137 198.197 -0.707 5 7 -398.248 236.019 -1.687 7 9 -207.246 357.501 -0.580---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actual0.001ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodmatches within radiusmatches within radiusmatches within radiusBootstrapped standard errorsBootstrapped standard errors------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t------------------------------------------------------------------------------------------------------------------ATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching methodATT estimation with the Kernel Matching method 12 12 -135.107 131.159 -1.030 3 7 -52.551 91.782 -0.573Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tmatches within radiusmatches within radius--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 49 85 -295.570 89.419 -3.305 34 100 -327.839 136.931 -2.394 15 118 -58.659 86.948 -0.675ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodBootstrapped standard errorsBootstrapped standard errors---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------. n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t0.01ATT estimation with the Radius Matching methodATT estimation with the Radius Matching methodATT estimation with the Radius Matching method------------------------------------------------------------------------------------------------------------------Bootstrapped standard errorsBootstrapped standard errorsBootstrapped standard errors 40 60 -160.201 68.091 -2.353 21 58 -211.675 99.200 -2.134---------------------------------------------------------------------------------------------------------------------------------------------------------------------------n. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. tn. treat. n. contr. ATT Std. Err. t---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radius 36 51 -164.827 62.976 -2.617 22 46 -202.818 111.973 -1.811 13 58 -93.539 97.935 -0.955---------------------------------------------------------------------------------------------------------------------------------------------------------------------------Note: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualNote: the numbers of treated and controls refer to actualmatches within radiusmatches within radiusmatches within radiu