Agricultural credit is one of the most crucial inputs in all agricultural development programmes. Access of rural credit has still remained scarce in India. Primary Agriculture Credit Societies (PACS) working at grass-root level, having direct contact with the rural people and meet their...

This paper evaluates the effectiveness of easing credit constraints for rural producers in Mexico through loans provided by a national public development finance institution (DFI). In contrast to most of the existing literature, the study focuses on the effect of medium-sized loans over a two-...

Improving productivity among microenterprises is important, especially in low-income countries where market imperfections are pervasive, and resources are scarce. Relaxing credit constraints can increase the productivity of microenterprises. Using a field experiment involving agricultural...

We present cross-country evidence suggesting that agricultural credits have a positive impact on agricultural productivity. In particular, we find that doubling agricultural credits generates around 4-5 percent increase in agricultural productivity. We use two different agricultural production...

Small-scale farming remains the primary source of income for a majority of the population in developing countries. While most farmers primarily work on their own fields, off-farm labor is common among small-scale farmers. A growing literature suggests that off-farm labor is not the result of...

Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...

Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...

We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case of selection on unobservables. We then propose a new minimum biased estimator of the average treatment effect. We assess the finite sample performance of our estimator using...