Most research on labor market effects of the Mahatma Gandhi National Rural Employment Guarantee Scheme focuses on outcomes at the district level. This paper shows that such a focus masks substantial spatial heterogeneity: treated villages located near untreated areas see smaller increases in casual wages than treated villages located farther from untreated areas. I argue that worker mobility, rather than spatial differences in implementation or program leakages, drives this spatial heterogeneity. I also present evidence that the effects of the program on private-sector employment display similar intra-district heterogeneity. Finally, by exploiting the difference in wage changes over space, I show that a large portion of consumption increases are driven by wage increases, not program employment. Overall, these results suggest that a district-level focus underestimates the true effect of the program on wages and also support the argument that increasing rural wages is an effective poverty-fighting tool in developing countries.

Relative to chronic hunger, seasonal hunger in rural and urban areas of Africa is poorly understood. This paper examines the extent and potential correlates of seasonal hunger in Malawi using panel data from 2011–2013. We find that both urban and rural households report seasonal hunger in the pre-harvest months. Certain strategies to smooth consumption, including crop storage and livestock ownership, are associated with fewer months of hunger. In addition, we find that Malawian households that experience seasonal hunger harvest their crops earlier than average – a short-term coping mechanism that can reduce the crop’s yield and nutritional value, possibly perpetuating hunger.

Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

The classical economic development literature argues that growth is accompanied by a reduction in agriculture's share and an increase in nonagriculture's share of employment. Yet growth of the nonfarm sector does not necessarily signal increasing levels of development, as the sector may serve as subsistence employment for many individuals. This ambiguity is heightened by a surprising lack of microevidence regarding sectoral and occupational choice and, especially, how government policies impact these decisions. In this article, I make a simple observation regarding how nonfarm self-employment reacts to market conditions: households and individuals that enter into nonfarm self-employment for subsistence reasons are more likely to exit the sector when wages increase or when more stable employment becomes available. With this assumption as a starting point, I examine the effects of the Mahatma Gandhi National Rural Employment Guarantee Act, which increased prevailing wages in rural India. The program significantly decreases days spent in nonfarm self-employment. In addition, the implied labor elasticity is three times higher than economy-wide estimates, suggesting rural nonfarm self-employment is a sector of last resort for many individuals. Additional analyses suggest this impact is driven primarily by two mechanisms: higher wages and alternative options for risk-management.