Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Summary Channels for the influence of microfinance programs on a rural household's demand for schooling are identified: income growth, risk management, child-labor demand, gender empowerment, and parent information. Within a random-utility framework, a model of household consumption, investment in education, and borrowing suggests determinants at the individual, household and regional levels of the probability of schooling gaps. Using data from two surveys of households of clients of microfinance organizations in Bolivia, regression models examine determinants of schooling gaps. Inferences about otherwise positive microfinance impacts identify potential negative effects of increased child-labor demand, which challenge usual assumptions and pose dilemmas for policymakers.