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Table A1. (Continued)Study id Group country Income region Year Interval(months)Main interventionKarlan and Zinman Marginally rejected(2010)loan applicantsKarlan and Zinman(2011)Karlan andValdivia (2011)Klinger andSchündeln (2007)Mano et al. (2011)Macours et al.(2011)Marginally rejectedloan applicantsFemalemicrofinanceclients(Potential)Business ownersMicroenterpriseownersSouth Africa UppermiddleincomePhilippinesPeruG&NGhanaLowermiddleincomeUppermiddleincomeLowermiddleincomeLowermiddleincomeSA beneficiaries Nicaragua LowermiddleincomeAfrica 2006 27 Expansion of access to consumercreditsEAP 2007 13.51233 Expansion of access to consumercreditsLAC 2005 20 Business training added tomicrocreditLAC 2005 Business training and monetaryprizeOutcomesLM activities,income,consumption,wellbeing:+Number ofbusinessactivities oremployees: -knowledge:+profits,revenue,employment: 0Businessexpansion: +Africa 2008 13 Business training Profit, practice,revenue: +LAC 2009 32 Vocational training, grants LM activities,income, profits:+ (grants)McKenzie andWoodruff (2008)Pitt et al. (2006)Premand et al.(2011)Small retail firms Mexico UppermiddleincomeMicrofinanceclientsBangladeshLowincomeYouth Tunisia UppermiddleincomeLAC 2006 3 Cash or in-kind transfers on retailfirms.SouthAsiaProfits: +(financiallyconstrained)1999 96 Microcredit Women'sempowerment:+MENA 2011 3 Entrepreneurship education(proposal) for college graduatesKnowledge, selfemployment: +LM income: 042
Table A2: Summary of Effect Size by Program Characteristics and Estimates SignificanceEffect SizeOverallInsignificant ornegative at 10%Significantlypositive at 10%Proportion 100% 71.80% 28.20%Average 0.058 0.009 0.183Intervention TypesTraining only 0.057 0.002 0.212Training+Counseling 0.095 0.019 0.232Financing only 0.052 0.007 0.164Financing+Counseling 0.011 -0.002 0.103Training+Financing 0.104 0.052 0.181Outcomes of interestLM Activity 0.065 0.017 0.181LM Income 0.036 0.005 0.136Financial Behavior 0.034 -0.017 0.204Business Practice 0.106 0.007 0.254Business Performance 0.044 0.009 0.154Attitudes 0.090 0.044 0.180BeneficiariesFemale 0.048 0.011 0.158Youth 0.102 0.010 0.226High Education 0.082 0.016 0.223SA beneficiaries 0.046 0.001 0.150Entrepreneurs 0.063 0.012 0.201Urban 0.036 0.013 0.104ProvidersGovernment only 0.036 0.013 0.104NGO only 0.081 0.031 0.164University only 0.067 0.011 0.161MFI and banks only 0.055 0.008 0.195Mutilple providers 0.058 0.001 0.213RegionsAFR 0.122 0.033 0.258EAP 0.003 -0.009 0.138ECA 0.039 0.005 0.198LAC 0.053 0.017 0.168MENA 0.084 -0.003 0.206SAR 0.046 -0.002 0.121Income levelLow income 0.130 0.019 0.273Lower middle income 0.043 0.005 0.127Upper middle income 0.057 0.010 0.21043
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Page 3 and 4: through school curricula, 5 while o
Page 5 and 6: youth the largest effects come from
Page 7 and 8: part of their intervention can grea
Page 9 and 10: working papers. About three quarter
Page 11 and 12: different variables and studies. Gi
Page 13 and 14: As discussed in the previous sectio
Page 15 and 16: Column 5 presents a model including
Page 17 and 18: is most common and often provided w
Page 19 and 20: examining the sample according to t
Page 22 and 23: examined attitudes and financial be
Page 25: Dawson, C., A. Henley, and P. L. La
Page 28 and 29: Table 1. Distribution and Definitio
Page 30 and 31: Table 3. Sample Characteristics by
Page 33 and 34: Table 6. Comparisons of Different M
Page 35 and 36: Table 8. Probit Model Regressions f
Page 37 and 38: Table 10. Random Effect Regression
Page 39 and 40: Figure 3. Comparison of Probit and
Page 41: Table A1. (Continued)Study id Group
Page 45 and 46: Table A4. Random Effect Regression

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