Exploring the spatial determinants of children’s activities: evidence from India

This article investigates the choice of children’s activities in India and provides recommendations for areas where policy intervention to promote schooling and combat child labor would be most successful. First, we recognize that child schooling and labor are not the sole activities that children can engage in and include idleness as one of the choices. Second, we use a hierarchical model with spatially correlated random effects to analyze the determinants of the choice of children’s activities. Lastly, we recommend that pro-schooling intervention be implemented in districts with favorable attitudes toward schooling and unfavorable attitudes toward idleness, while anti-child-labor interventions be implemented in districts where attitudes toward child labor are less favorable. We thus identify two groups of Indian districts to target appropriate government interventions.     

Economic liberalization and urban–rural inequality in India: a quantile regression analysis

We examine India’s urban–rural inequality in welfare in 1993–1994 and 2004, a period which coincides with the country’s economic liberalization reforms and rapid economic growth. Using real monthly per capita household consumption expenditure as our measure of welfare, we estimate quantile regressions to analyze the urban–rural welfare gap across the entire welfare distribution. While the urban–rural welfare gap was fairly convex across the welfare distribution in 1993–1994, it became more concave in 2004, with the gap narrowing for the lowest and highest quintiles and widening for the middle three quintiles. The urban–rural gap in returns to all levels of education widened substantially for the bottom four quintiles but became increasingly negative for the top quintile. Applying the Machado and Mata (J Appl Econom 20:445–465, 2005) decomposition technique to decompose the urban–rural welfare gap at each percentile, we find that for the bottom 40% of the distribution, differences in the distribution of covariates became less important while differences in the distribution of returns to covariates became more important in explaining the gap. The opposite was true for the top 40% of the distribution. Our analysis suggests that while the rural poor appear to be catching up with their urban counterparts in terms of labor market characteristics, ten years of economic reforms have intensified the urban–rural gap in returns to these characteristics. On the other hand, the rural rich lag even further behind the urban rich with respect to their labor market characteristics even though the urban–rural gap in the returns to these characteristics has diminished during the reform period. Future efforts to generate urban–rural equality may require policies that seek to equalize returns to labor market characteristics between the two sectors at the lower half of the distribution and improve rural labor market characteristics at the top half of the distribution.     

Industrial de-licensing, trade liberalization, and skill upgrading in India

We investigate the relationship between industrial de-licensing, trade liberalization, and skill upgrading during the 1980s and 1990s among manufacturing plants in India. We use a unique dataset on India's industrial licensing regime to test whether industrial de-licensing during the 1980s and 1990s played a role in skill upgrading, as measured by the employment and wagebill shares of white-collar workers. In addition, we assess the relative contribution of industrial de-licensing and trade liberalization to skill upgrading. We identify two main channels through which industrial de-licensing affects skill upgrading: capital- and output-skill complementarities. Using both difference-in-differences as well as regression discontinuity techniques, we find two important results. First, after controlling for the size-based exemption rule that determined whether or not a plant faced licensing restrictions, industrial de-licensing during the 1980s appears to have increased the relative demand for skilled workers via capital- and output-skill complementarities. Capital- and output-skill complementarities exist for plants in both licensed and de-licensed industries but were stronger in de-licensed industries during the 1980s, prior to India's massive trade liberalization reforms in 1991. Second, regardless of de-licensing, capital- and output-skill complementarities are generally weaker after trade was liberalized during the early 1990s. Together, capital- and output-skill complementarities contributed 75% (57%) and 31% (29%), respectively, of the growth in the employment and wagebill shares of white-collar workers in de-licensed (licensed) industries before trade was liberalized. After trade liberalization, these contributions were smaller. This suggests that trade liberalization may not have played a major role in raising the relative demand for skilled labor during the early 1990s.     

The human capital consequences of civil war: Evidence from Guatemala

We combine data from the 2002 National Population Census and the distribution of the number of human rights violations and victims across 22 departments to examine how Guatemala's 36-year-long civil war affected human capital accumulation. The year of birth and the department of birth jointly determine an individual's exposure during school age to three different periods of the civil war, namely the initial period (1960-1978), the worst period (1979-1984), and the final period (1985-1996). We find a strong negative impact of the civil war on the education of the two most disadvantaged groups, namely rural Mayan males and females. Among rural Mayan males, those who were school age during the three periods of the civil war in departments where more human rights violations were committed completed 0.27, 0.71, and 1.09 years less of schooling respectively whereas rural Mayan females exposed to the three periods of the war completed 0.12, 0.47, and 1.17 years less of schooling respectively. Given an average of 4.66 and 3.83 years of schooling for males and females, these represent declines of 6, 15, and 23% for males and 3, 12, and 30% for females. Our results are robust to the inclusion of indicators for department of residence, year of birth, and controls for different trends in education and human development in war-affected and peaceful departments of Guatemala and suggest that the country's civil war may have deepened gender, regional, sectoral, and ethnic disparities in schooling.     

The role of foreign capital in domestic manufacturing productivity: empirical evidence from Asian economies

The paper empirically examines the relative contribution of foreign and domestic machinery and equipment on manufacturing productivity in seven Asian economies. A Cobb-Douglas production function is used to test whether foreign machinery is more productive than domestic machinery. The study is based on a pooled cross-sectional time-series model, including seven countries - Hong Kong, Singapore, South Korea, Malaysia, Indonesia, the Philippines and India - for the years 1975 to 1990. The results support the hypothesis that a country's stage of development, skill-level of its labour force, and the technology embodied in capital play a crucial role in determining the relative impact of foreign and domestic capital on manufacturing productivity.