What does the demographic profile of convicts tell us about social equity in India?

Social equity is a critical component of social justice and is measured in multiple ways. Conventionally, researchers use literacy levels, workforce participation, political participation and representation, corporate presence, and demographic parity as indicators of social and economic equity. We add law enforcement outcomes to this literature by examining the demographic profiles of convicts in prisons in India for each state and compare it with that of the population of the respective state. To test whether entrenched social inequities have permeated into the law enforcement system, we use three indicators of social identity-religion, caste, and domicile-to create a social equity index (SEI). This is a composite index combining caste, religion and domicile similar in method to the Human Development Index which combines income, education and health. Our indicators are not considered in other popular development indices and is a conceptual innovation. Our paper innovates by combining prison data and census data at the state level over the two latest census rounds (2001 and 2011). We use a spatial panel analysis as well as a distributional dynamics approach to test for bias and transitions over time at the state level. We find that entrenched social hierarchies are mirrored in conviction outcomes and that social identities influence law enforcement. In contrast to earlier studies, we find that states that are conventionally considered to perform poorly in terms of economic and human development have done better in terms of social equity than economically advanced states.

Crimes Against Women in India: A District-Level Analysis (1991-2011).

Crimes against women (CAW) in India have been rising despite faster economic growth, higher education attainment, and increasing numbers of women in the economic sphere. This article explores the reasons for the incidence of reported CAW in India. We study five CAW (rape, kidnapping, cruelty, dowry deaths, and molestation), across 35 states and union territories, 594 districts, over three decades (1991-2011). We use panel fixed-effects regression models to explain crime. Our results confirm the importance of female literacy rates, female paid workforce participation, and female-male ratio in understanding crime. We find that these commonly-used socioeconomic variables have nonlinear effects on CAW. Our findings improve upon earlier results that have not explored either spatial distribution or nonlinearity in India. These findings could have significant implications for the policies aiming to reduce CAW.

"Understanding growth convergence in India (1981-2010): Looking beyond the usual suspects".

The literature on growth convergence has focused to a great extent on the role of initial incomes as a primary determinant of long-term growth outcomes. Expanded versions of growth models have used other explanators to unpack the growth process. In this paper we add to the literature in two significant ways: (a) we use socioeconomic variables that are sometimes overlooked in explaining growth (such as, political stability and political alliance, social heterogeneity, and demographic distribution), and (b) we demonstrate that earlier analyses may be overlooking the problem of normality and endogeneity in regression models (and we provide alternate methods like instrumental variable and distribution dynamics to control for these). In this paper we analyze the per capita income growth at the subnational level in India for the period 1981-82 to 2010-11 using an expanded growth framework. We find that initial incomes, the ratio of working age group to total population, political stability and alliance, and the extent of development expenditure play a positive and significant role in predicting growth. We also find that, contrary to popular belief, the presence of marginalized groups-namely Scheduled Castes and Scheduled Tribes-have not been a hindrance to growth of per capita incomes in states. Our findings on the influence of social institutions may have significant implications for a public policy of affirmative action in India. The results on the impact of development expenditure on growth is also important for states seeking to increase their growth rates through policy intervention.