Panel and time-series data describing the green-revolution period in India are used to assess the effects of exogenous technical change on the returns to schooling, the effects of schooling on the profitability of technical change, and the effects of technical change and school availability on household schooling investment. The results indicate that the returns to (primary) schooling increased during a period of rapid technical progress, particularly in areas with the highest growth rates. Such increases induced private investment in schooling, net of changes in wealth, wages, and the availability of schools, and school expansion importantly increased levels of schooling.

Household-level panel data from a nationally representative sample of rural Indian households describing the adoption and profitability of high-yielding seed varieties (HYVs) associated with the Green Revolution are used to test the implications of a model incorporating learning by doing and learning spillovers. The estimates indicate that (i) imperfect knowledge about the management of the new seeds was a significant barrier to adoption; (ii) this barrier diminished as farmer experience with the new technologies increased; (iii) own experience and neighbors' experience with HYVs significantly increased HYV profitability; and (iv) farmers do not fully incorporate the village returns to learning in making adoption decisions.

In the presence of imperfect information, voluntary certification can provide an important complement to mandatory inspections as a basis for environmental regulation in low income countries. Using data from Mexico's Clean Industry Program, we show that patterns of compliance and certification by sector are consistent with a model in which selection into the voluntary program permits more efficient targeting of regulator effort. As expected given the informational role played by certification in the model, we also find evidence, for a sample of publicly traded firms, of positive stock price deviations linked to the announcement of certification.

Andrew D. Foster, Mark R. Rosenzweig; Household Division and Rural Economic Growth, The Review of Economic Studies, Volume 69, Issue 4, 1 October 2002, Pages 83

We use data from an agricultural labour market in which workers receive both time- and piece-rate wages and shift frequently among employers and tasks, to assess the roles of comparative advantage, information problems and preferences in determining the allocation of workers. The estimates which impose minimal structure not implied by economic theory are consistent with a one-factor productivity model, and indicate that information asymmetries are present but workers are sorted according to comparative advantage. In particular, the disproportionate presence of female workers in weeding activities is due not to worker or employer preferences but to comparative advantage and statistical discrimination.

In this paper, we examine empirically whether risk pooling is more advantageous among altruistic compared to selfish agents in a framework where individuals cannot make binding commitments. In particular, we incorporate altuism into a model of risk sharing under imperfect commitment and use simulation methods to establish tests of the roles of both altruism and commitment problems in determining the extent of insurance and the intertemporal movements in interhousehold transfers. The tests are carried out using three panel data sets from two countries of rural South Asia that provide detailed information on transfers and enable the measurement of income shocks. The estimates provide strong support for the notion that imperfect commitment substantially constrains informal transfer arrangements, whether kin-based or not, but also provide evidence that altruism plays an important role in ameliorating commitment constraints and thus in increasing the gains from income pooling.

Andrew D. Foster, Mark R. Rosenzweig, A Test for Moral Hazard in the Labor Market: Contractual Arrangements, Effort, and Health, The Review of Economics and Statistics, Vol. 76, No. 2 (May, 1994), pp. 213-227

We show that labor market transaction costs explain why the smallest farms are more efficient than slightly larger farms in most low-income countries and that increases in machine capacity with operational scale result in the globally observed rising upper tail of productivity. We find evidence consistent with these mechanisms using Indian data, and we show that if all Indian farms were at the minimum scale required to maximize the return on land, the number of farms would be reduced by 82% and income per farm worker would rise by 68%.