USING SURVEY DATA TO UNDERSTAND SOCIAL AND GEOGRAPHICAL MOBILITY
- Dr. Christophe Jalil Nordman
Economist (IRD, DIAL and IFP, Puducherry)
- Prof. Ashwini Deshpande
Economist (University of Delhi, Delhi School of Economics, New Delhi)
- Dr. Véronique Gille
Economist (IRD, DIAL, Paris)
- Prof. Abhiroop Mukhopadhyay
Economist (Indian Statistical Institute, New Delhi)
- Dr. Jean-Noël Senne
Economist (Université Paris-Sud, Paris)
Social and geographical mobility is of growing interest to policy makers and economists and is an expending research field. Economists usually use survey data to understand the determinants and the extent of social and geographical mobility. The analysis of data on social and geographical mobility requires the mobilization of specific knowledge.
In this proposed workshop, trainees will be introduced to the state-of-the-art in social and geographical mobility. The main objective of the course is to review what we know about mobility and what the open questions in this field are. At the end of the course the students will have understood what still needs to be done in this field, as well as the limitations of survey data to study these questions and how to overcome them.
The course will combine interactive lecture sessions and tutorials over the three days. In the lecture sessions students will be exposed to the research frontier in the field of social and geographical mobility. In the tutorial they will be using the statistical software STATA to analyse survey data on social and geographical mobility. The empirical application will be using the National Sample Survey (NSSO) data for India.
Readings and online resources
Deshpande, A. (2007), “Overlapping Identities under Liberalization: Gender and Caste in India”, Economic Development and Cultural Change, 55(4), pp. 735-760.
Deshpande, A. (2001), “Caste at birth? Redefining Disparity in India”, Review of Development Economics, 5(1), pp. 130-144.
Handbook of Social Economics:
Benhabib, J., Bisin Alberto, and Jackson, M. eds. (2011), Handbook of Social Economics, Amsterdam: North-Holland.
Chapter 3: Preferences for Status: Evidence and Economic Implications, Ori Heffetz and Robert H. Frank. http://www.nyu.edu/econ/user/bisina/Chapter3_FrankHeffetz.pdf
Chapter 5: Theories of Statistical Discrimination and Affirmative Action: A Survey, Hanming Fang and Andrea Moro.
Chapter 9: The Economics of Cultural Transmission and Socialization, Alberto Bisin and Thierry Verdier. http://www.igier.unibocconi.it/files/4.pdf
De Haas, H. (2012), “The Migration and Development Pendulum: a Critical View on Research and Policy”, International Migration, 50(3), pp. 8-25.
Adams Jr, R. H. (2011), “Evaluating the Economic Impact of International Remittances on Developing Countries Using Household Surveys: a Literature Review”, Journal of Development Studies, 47(6), pp. 809-828. http://www.tandfonline.com/doi/abs/10.1080/00220388.2011.563299
McKenzie, D., and Sasin, M. J. (2007), “Migration, Remittances, Poverty, and Human Capital: Conceptual and Empirical Challenges”, World Bank Policy Research Working Paper, 4272.
Bertrand, M., Hanna, R., and Mullainathan, N. (2009), “Affirmative Action in Education: Evidence from Engineering College Admission”, Journal of Public Economics, 94(1-2), pp. 16-29.
Hnatkovska, V., Lahiri, A. and Paul, S. B. (2012), “Breaking the Caste Barrier, Intergenerational Mobility in India”, The Journal of Human Resources, 48(2), pp. 435-473.