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. Author manuscript; available in PMC: 2014 Sep 9.
Published in final edited form as: Am Econ Rev. 2014 May;104(5):291–297. doi: 10.1257/aer.104.5.291

Table 3.

Differential Impacts of Treatment on Loan Renewal by Standardized Household Characteristics

Loan Renewal Clients
(1) (2)
Panel A. Baseline Health Indicators
Chronic disease, any in household −0.016 (0.013) 5070
Chronic disease, any family history −0.015 (0.013) 5070
Self-reported health, household average −0.001 (0.015) 5062
Any household member in poor health −0.028** (0.014) 5062
Any consultation for symptoms, previous 30 days −0.009 (0.015) 5056
Any household member who smokes or drinks −0.015 (0.015) 5063

Panel B. Baseline Pregnancy Indicators
Any household member plans to have baby −0.014 (0.017) 5169
Number of females aged 17-to-24 in household −0.002 (0.014) 5366

Panel C. Predicted Endline Health and Pregnancy
Spend night in hospital, predicted −0.005 (0.014) 4700
Health expenditures, predicted −0.020 (0.015) 4700
Pregnancy, predicted −0.009 (0.016) 5169

Panel D. Endline Health and Pregnancy
Spent night in hospital 0.013 (0.015) 5355
Health expenditures −0.010 (0.014) 5358
New baby, between baseline and endline 0.017 (0.013) 5366

Panel E. Baseline Economic Indicators
Household consumption, previous year 0.032* (0.017) 5232
Self-reported financial status −0.012 (0.017) 4881
Household owns business −0.029 (0.019) 5233

Notes: From estimating equation (2), each row of column 1 reports impacts on loan renewal from interaction terms between treatment and the indicated household characteristic (normalized to have standard deviation of one). Robust standard errors, clustered by village, are reported in parantheses.

*** denotes statistical significance at the 1% level, ** at the 5% level, and * at the 10% level.