This paper estimates the returns to household income due to improved access to electricity in rural India. We examine the effect of connecting a household to the grid and the quality of electricity, defined as hours of daily supply. The analysis is based on two rounds of a representative panel of more than 10,000 households. We use the district-level density of transmission cables as instrument for the electrification status of the household. We find that a grid connection increases non-agricultural incomes of rural households by about 9 percent during the study period (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005). However, a grid connection and a higher quality of electricity (in terms of fewer outages and more hours per day) increases non-agricultural incomes by about 28.6 percent in the same period.JEL classification: O12, O18, Q48

In this paper, we investigate the determinants of productivity in Indian manufacturing industries during the period 1988-2000. Using two-digit industry level data for the Indian states, we find evidence of imperfect interindustry and interstate labor mobility as well as misallocation of resources across industries and states. Trade liberalization increases productivity in all industries across all states, and productivity is higher in the less protected industries. These effects of protection and trade liberalization are more pronounced in states that have relatively more flexible labor markets. Similar effects are also found in the case of employment, capital stock and investment. Furthermore, labor market flexibility, independent of other policies, has a positive effect on productivity. Importantly, per capita state development expenditure seems to be the strongest and the most robust predictor of productivity, employment, capital stock and investment. Industrial delicensing increases both labor productivity and employment but only in the states with flexible labor market institutions. Even after controlling for delicensing, the analysis shows that trade liberalization has a productivity-enhancing effect. Finally, trade liberalization benefits most the export-oriented industries located in states with flexible labormarket institutions.

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.

A new gender wage gap decomposition methodology is introduced that does not suffer from the identification problem caused by unobserved non-discriminatory wage structure. The methodology is used to measure the relative size of Korean gender wage gaps from 1994 to 2000 across industries, differentiated by industrial knowledge intensity, where knowledge intensity is the extent to which industries produce or employ high-technology products. Korea represents an important case study, since it possesses one of the fastest growing knowledgeintensive economies, among industrialized countries. Empirical results indicate that over this period, discrimination (the unexplained portion of the gender wage gaps) in Korea was statistically smaller in knowledge-intensive industries than in industries with low knowledge intensity. Also, discrimination was declining on average over the period. This suggests that continued growth in knowledge-intensive industries in Korea may lead to further declines in the overall gender gap.JEL Codes: C12, J31, J71

Tariff reductions have gender-specific effects on the labor market that change the relative bargaining power within households, which in turn affects child outcomes. We estimate how changes in parental labor supply due to these tariff reductions affect child schooling by focusing on young school-age children who are otherwise not active in the labor market. Using micro-level data from India, we find that an increase in female labor supply due to the tariff reductions was associated with a 7 percentage points higher schooling probability for children between the ages of 7 and 10. This result explains approximately 26 percent of the improvement in schooling for this age group between the years 1988 and 2000.