Arulampalam, Wiji and Bhalotra, Sonia R Sibling Death Clustering in India: State Dependence vs. Unobserved Heterogeneity. [["eprint_typename_scholarly-edition" not defined]]
Arulampalam, Wiji and Bhalotra, Sonia R Sibling Death Clustering in India: State Dependence vs. Unobserved Heterogeneity. [["eprint_typename_scholarly-edition" not defined]]
Arulampalam, Wiji and Bhalotra, Sonia R Sibling Death Clustering in India: State Dependence vs. Unobserved Heterogeneity. [["eprint_typename_scholarly-edition" not defined]]
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 state dependence (or scarring). This paper investigates the extent of state dependence in India, distinguishing this from family-level risk factors common to siblings. It offers a number of methodological innovations upon previous research. Estimates are obtained for each of three Indian states, which exhibit dramatic differences in socio-economic and demographic variables. The results suggest a significant degree of state dependence in each of the three regions. Eliminating scarring, it is estimated, would reduce the incidence of infant mortality (among children born after the first child) by 9.8% in the state of Uttar Pradesh, 6.0% in West Bengal and 5.9% in Kerala.
Item Type: | ["eprint_typename_scholarly-edition" not defined] |
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Uncontrolled Keywords: | J1; C1; I1; O1; state dependence; multi-level model; death clustering; dynamic random effects logit; scarring; unobserved heterogeneity; infant mortality; India |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HC Economic History and Conditions H Social Sciences > HN Social history and conditions. Social problems. Social reform H Social Sciences > HQ The family. Marriage. Women H Social Sciences > HT Communities. Classes. Races |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Institute for Social and Economic Research |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 03 Oct 2016 13:59 |
Last Modified: | 23 Sep 2022 18:44 |
URI: | http://repository.essex.ac.uk/id/eprint/17539 |
Available files
Filename: Bhalotra and Arulampalam (JRSS 2006).pdf