Smallholder agricultural production depends heavily on environmental production conditions that are largely exogenously determined. Yet, few data sets collect necessary, detailed information on environmental production conditions. This oversight raises the spectre of likely omitted variables...

There is a large literature on the estimation of frontier production functions, much of it applied to low-income agriculture. However, much of this literature largely ignores nature's role in agricultural production. Because exogenous, natural production conditions (e.g., rainfall, soil quality,...

Smallholder agricultural production depends heavily on environmental production conditions that are largely exogenously determined. Yet few data sets collect necessary, detailed information on environmental production conditions. This oversight raises the spectre of likely omitted variables bias...

This paper introduces a method for estimating structural labor supply models in the presence of unobservable wages and deviations of households' marginal revenue product of self-employed labor from their shadow wage. This method is therefore remarkably robust to a wide range of assumptions about...

This paper introduces a method for estimating structural labor supply models in the presence of unobservable wages and deviations of households' marginal revenue product of self-employed labor from their shadow wage. This method is therefore robust to a wide range of assumptions about labor...

Smallholder agricultural production depends heavily on environmental production conditions that are largely exogenously determined. Yet few data sets collect necessary, detailed information on environmental production conditions. This oversight raises the spectre of likely omitted variables bias...

Smallholder agricultural production depends heavily on environmental production conditions that are largely exogenously determined. Yet few data sets collect necessary, detailed information on environmental production conditions. This oversight raises the spectre of likely omitted variables bias...