Sibling Death Clustering in India: Genuine Scarring vs Unobserved Heterogeneity

Wiji Arulampalam and Sonia Bhalotra

Bristol Economics Discussion Papers from School of Economics, University of Bristol, UK

Abstract: 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.

Keywords: Death clustering; infant mortality; state dependence; scarring; unobserved heterogeneity; dynamic random effects logit (probit); India (search for similar items in EconPapers)
JEL-codes: C1 I1 J1 O1 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2003-06-19
New Economics Papers: this item is included in nep-hea
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Citations: View citations in EconPapers (12)

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