Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Sibling death clustering in India : genuine scarring vs unobserved heterogeneity

Tools
- Tools
+ Tools

Arulampalam, Wiji and Bhalotra, Sonia (2003) Sibling death clustering in India : genuine scarring vs unobserved heterogeneity. Discussion Paper. [Department of Economics, University of Bristol], [Bristol].

[img]
Preview
PDF
WRAP_Arulampalamdp03552.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (256Kb)

Abstract

Data from a range of environments indicate that the incidence of death is not randomly distributed across families but, rather, that there is a clustering of death among siblings. A natural explanation of this would be that there are (observed or unobserved) differences across families, e.g. in genetic frailty, education or living standards. Another hypothesis that is 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). The paper investigates the extent of state dependence in India, distinguishing this from family level risk factors that are common to siblings. It offers some methodological innovations on 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 who are 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: Working or Discussion Paper (Discussion Paper)
Subjects: H Social Sciences > HA Statistics
R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Library of Congress Subject Headings (LCSH): Infants -- Mortality -- India, Mortality -- Statistics -- India
Series Name: Discussion paper (Department of Economics, University of Bristol)
Journal or Publication Title: Journal of the Royal Statistical Society: Series A (Statistics in Society),
Publisher: [Department of Economics, University of Bristol]
Place of Publication: [Bristol]
ISSN: 0964-1998
Date: June 2003
Number: 03/552
Number of Pages: 39
Page Range: 829-848(20)
Status: Not Peer Reviewed
Access rights to Published version: Open Access
Description: Version accepted by publisher (post-print, after peer review, before copy-editing). Publisher statement: the definitive version is available at www.blackwell-synergy.com.
Version or Related Resource: Arulampalam, W. and Bhalotra, S. (2006). Sibling death clustering in India: state dependence versus unobserved heterogeneity. Journal of the Royal Statistical Society: Series A (Statistics in Society), 169(4), pp.829-848.
Related URLs:
  • http://dx.doi.org/10.1111/j.1467-985X.20...
References: Baulch, Robert and John Hoddinott (2000) (eds), Economic Mobility And Poverty Dynamics In Developing Countries, Frank Cass. Bean, L. L., Geraldine, P. M. and Douglas L. A. (1988), Reproductive behaviour and child survival among Nineteenth Century Mormons, The thirteenth annual meeting of the Social Science History Association, Chicago, Nov. Becker, Gary (1991), A Treatise on the Family, 2nd ed. Cambridge, Mass.: Harvard University Press. Bhargava, Alok (2003), Family planning, gender differences and infant mortality: evidence from Uttar Pradesh, India, Journal of Econometrics, 112, 225-240. Bolstad, W.M. and Manda, Sam O. (2001), Investigating child mortality in Malawi using family and community random effects: A Bayesian analysis, Journal of the American Statistical Association, Vol. 96, 12-19. Bongaarts, John and Robert G. Potter (1983), Fertility, Biology and Behaviour: An Analysis of the Proximate Determinants, New York: Academic Press. Cantrelle, P., B. Ferry, and J. Mondot (1978), Relationships between fertility and mortality in Tropical Africa, in The Effects of Infant and Child Mortality on Fertility, ed. S. Preston, 181-205, New York: Academic Press. Chamberlain, G. (1984), Panel data, in S. Griliches and M. Intriligator, eds., Handbook of Econometrics, North-Holland, Amsterdam, 1247-1318. Chamberlain, G. (1985), Heterogeneity, omitted variable bias, and duration dependence, chapter 1 in Heckman, J. J. and Singer, B. L. (eds) Longitudinal Analysis of Labour Market Data, Cambridge University Press. Chen, L., S. Ahmed, M. Gesche, and W. Mosley (1974), A prospective study of birth interval dynamics in Rural Bangladesh, Population Studies, 28, 277-297. Cleland, J. and Z. A. Sathar (1984), The effect of birth spacing on childhood mortality in Pakistan, Population Studies, 38, 401-418. Cleland, John G. and Jerome K. van Ginneken (1989), Maternal education and child survival in developing countries: The search for pathways of influence, Social Science and Medicine, 27(12): 1357-1368. Curtis, S. L., Diamond and I., and McDonald J. W. (1993), Birth interval and family effects on postneonatal mortality in Brazil , Demography, 33(1), 33-43. DaVanzo, Julie and Anne R. Pebely (1993), Maternal depletion and child survival in Guatemala and Malaysia, Labor and Population Program Working Paper 93-18, RAND. DasGupta, M. (1990), Death clustering, mothers' education and the determinants of child mortality in Rural Punjab, India , Population Studies, 44, 489-505. Dreze, Jean and Amartya Sen (1997), Indian Development: Selected Regional Perspectives, Oxford: Clarendon Press. Gribble, J.N. (1993), Birth intervals, gestational age and low birth weight: are the relationships confounded?, Population Studies, 47, 133-146. Guo, Guang (1993), Use of sibling data to estimate family mortality effects in Guatemala, Demography, Vol. 30, No. 1, February, 15-32. Heckman, J. J. (1978), Simple statistical models for discrete panel data developed and applied to test the hypothesis of true state dependence against the hypothesis of spurious state dependence , Annales de L’INSEE, no. 30-31, 227-269. Heckman, J. J. (1981a), Statistical models for discrete panel data, in Structural Analysis of Discrete Data with Econometric Applications, ed. C. F. Manski and D. McFadden, 114- 178, Cambridge: MIT Press. Heckman, J. J. (1981b), Heterogeneity and state dependence, in Studies in Labor Markets, ed. S. Rosen, Chicago, Chicago Press. Heckman, J. J. (1981c), The incidental parameters problem and the problem of initial conditions in estimating a discrete time-discrete data stochastic process, in Structural Analysis of Discrete Data with Econometric Applications, eds. C. F. Manski and D. McFadden, 114-178, Cambridge: MIT Press. Hobcraft, John (1993), Women's education, child welfare and child survival: A review of the evidence, Health Transition Review, 3(2): 159-175. Hobcraft, J.N., J.W. McDonald, S. Rutstein (1983), Child spacing effects on infant and early child mortality , Population Index, 49, 585-618. Hobcraft, J., J.W. McDonald, S. Rutstein (1985), Demographic determinants of infant and early child mortality: A comparative analysis, Population Studies, 39, 363-385. Hyslop, Dean R. (1999), State dependence, serial correlation and heterogeneity in intertemporal labour force participation of married women, Econometrica, 67(6), 1255- 94. IIPS and ORC Macro (2000), National Family Health Survey (NFHS-2) 1998-9: India. Mumbai: International Institute for Population Sciences (IIPS). Koenig, M.A., J.F. Phillips, O.M. Campbell, S. D'Souza (1990), Birth interval and childhood mortality in rural Bangladesh, Demography, 27, 251-265. Lawless, J. F. (1987), Negative binomial and mixed Poisson regression, Canadian Journal of Statistics, 15, 209-25. Madise, N.J. and Diamond, I. (1995), Determinants of infant mortality in Malawi: an analysis to control for death clustering within families, Journal of Biosocial Science, vol. 27(1), 95-106. Miller, J. E., James T., Anne R. P., and Barbara V. (1992), Birth spacing and child mortality in Bangladesh and the Philippines Demography, 29, 305-318. Muhuri, P. and Preston, S. (1991), Effects of family composition on mortality differentials by sex among children in Matlab Bangladesh, Population and Development Review, 17, 415-434. Narendranathan, W. and Elias, P. (1993), Influences of past history on the incidence of youth unemployment: Empirical findings for the UK, Oxford Bulletin of Economics and Statistics, 55 (2), 161-185. Nath, D.C., K.C. Land, K.K. Singh (1994), Birth spacing, breastfeeding and early child mortality in a traditional Indian society: a hazards model analysis, Social Biology, 41, 168-180. Neyman, J. and Scott, E. (1948), Consistent estimates based on partially consistent observations , Econometrica, 16, pp. 1-32. Preston, Samuel H. (1985), Mortality in childhood: lessons from WFS, in John G. Cleland and John Hobcraft (eds.), Reproductive Change in Developing Countries, Oxford: Oxford University Press, pp. 46-59. Rosenzweig, Mark and T. Paul Schultz (1982), Child mortality in Colombia: individual and community effects, Health Policy and Education, 2(2), 305-348. Sastry, Narayan 1997a, Family-level clustering of childhood mortality risk in Northeast Brazil, Population Studies, Vol. 51, Issue 3, November, 245-261. Sastry, Narayan 1997b, A nested frailty model for survival data, with an application to the study of child survival in Northeast Brazil, Journal of the American Statistical Association, Vol. 92, Issue 438, June, 426-435. Scrimshaw, S. (1996), Nutrition and health from womb to tomb, Nutrition Today, 31, 55-67. Stata 7 (2000), Stata Statistical Software, Stata Corportation. Steer R.A., T.O. Scholl, M.L. Hediger, R.L. Fischer (1992), Self-reported depression and negative pregnancy outcomes, Journal of Clincial Epidemiology, October, 45(10), 1093- 9. UNDP (2003), Human Development Report. Williamson, J. (1988), Migration and Urbanization , in H. Chenery and T.N. Srinivasan (eds), Handbook of Development Economics, Volume 1. Wooldridge, J. M. (2002), Econometric Analysis of Cross Section and Panel Data, The MIT Press, Cambridge, Massachusetts. World Bank (2000), India- Reducing Poverty, Accelerating Development: A World Bank Country Study, Oxford: Oxford University Press. Zenger, E. (1993), Siblings' neonatal mortality risks and birth spacing in Bangladesh. Demography, 30(3), 477-488.
URI: http://wrap.warwick.ac.uk/id/eprint/151

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us