Sibling Death Clustering in India: Genuine Scarring vs Unobserved Heterogeneity
Data from a range of different environments indicate that the incidence of death is not randomly distributed across families but, rather, that there is a clustering of death amongst siblings. A natural explanation of this would be that there are (observed or unobserved) differences across families, for example in genetic frailty, education or living standards. Another hypothesis of considerable interest for both theory and policy is that there is a causal process whereby the death of a child influences the risk of death of the succeeding child in the family. Drawing language from the literature on the economics of unemployment, the causal effect is referred to here as scarring. This paper investigates the extent of scarring in India, distinguishing this from family-level risk factors common to siblings. It offers a number of methodological innovations upon previous research in the area. Estimates are obtained for each of three Indian states, which exhibit dramatic differences in socio-economic and demographic variables. The results suggest significant scarring in each of the three regions. Eliminating scarring, it is estimated, would reduce the infant mortality rate by 7% in the state of Uttar Pradesh, 3.1% in West Bengal and 2.9% in Kerala.
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- DaVanzo, J. & Pebley, A.R., 1993. "Maternal Depletion and Child Survival in Guatemala and Malaysia," Papers 93-18, RAND - Labor and Population Program.
- Jane Miller & James Trussell & Anne Pebley & Barbara Vaughan, 1992. "Birth spacing and child mortality in bangladesh and the Philippines," Demography, Springer;Population Association of America (PAA), vol. 29(2), pages 305-318, May.
- Bolstad W. M & Manda S. O, 2001. "Investigating Child Mortality in Malawi Using Family and Community Random Effects: A Bayesian Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 12-19, March.
- Bob Baulch & John Hoddinott, 2000. "Economic mobility and poverty dynamics in developing countries," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 1-24.
- Bhargava, Alok, 2003. "Family planning, gender differences and infant mortality: evidence from Uttar Pradesh, India," Journal of Econometrics, Elsevier, vol. 112(1), pages 225-240, January.
- Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
- Williamson, Jeffrey G., 1988. "Migration and urbanization," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 11, pages 425-465 Elsevier.
- Narendranathan, Wiji & Elias, Peter, 1993.
"Influences of Past History on the Incidence of Youth Unemployment: Empirical Findings for the UK,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 55(2), pages 161-185, May.
- Narendranathan, W. & Elias, P., 1990. "Influences of Past History on the Incidence of Youth Unemployment: Empirical Finding for the U.K," The Warwick Economics Research Paper Series (TWERPS) 369, University of Warwick, Department of Economics.