Julius Silver Professor, Faculty of Arts and Science, and
Professor of Economics, New York University

Co-Editor, American Economic Review
Research Associate, NBER
Part-Time Professor, University of Warwick
Council Member, Game Theory Society
Research Fellow, CESifo
Board Member, BREAD and ThReD
Researcher in Residence, ESOP

Department of EconomicsNYU, 19 West 4th Street
New York, NY 10012, U.S.A.
debraj.ray@nyu.edu, +1 (212)-998-8906.

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Three Randomly Selected Papers
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Uneven Growth: A Framework for Research in Development Economics

Journal of Economic Perspectives 24 (3), Summer, 45-60, 2010.

Summary. In many developing countries, economic growth has been fundamentally uneven. This article takes the reality of “uneven growth” seriously, and uses it as an organizing device for a research program in Development Economics.

Polarization: Concepts, Measurement, Estimation

(with Jean-Yves Duclos and Joan Esteban), Econometrica 72, 1737–1772, 2004.

Summary. We develop the measurement theory of polarization for the case in which income distributions can be described using density functions. The main theorem uniquely characterizes a class of polarization measures that fits into what we call the “identity-alienation” framework, and simultaneously satisfies a set of axioms. Here is a link to a somewhat expanded version, which was published in C. Barrett (ed), The Social Economics of Poverty: Identities, Groups, Communities and Networks, London: Routledge (2005).

The Age Distribution of Missing Women in India

(with Siwan Anderson), Economic & Political Weekly 47, No. 47-48, December, 2012.

Summary. Relative to developed countries, there are far fewer women than men in India. Estimates suggest that among the stock of women who could potentially be alive today, over 25 million are “missing”. Sex selection at birth and the mistreatment of young girls are widely regarded as key explanations. We provide a decomposition of missing women by age across the states. While we do not dispute the existence of severe gender bias at young ages, our computations yield some striking findings. First, the vast majority of missing women in India are of adult age. Second, there is significant variation in the distribution of missing women by age across different states. Missing girls at birth are most pervasive in some north-western states, but excess female mortality at older ages is relatively low. In contrast, some north-eastern states have the highest excess female mortality in adulthood but the lowest number of missing women at birth.