Persistence in Infant Mortality: Evidence for the Indian States
This paper investigates the high correlation in infant mortality across siblings using micro-data for each of the fifteen major states of India. The main finding is that, in thirteen of the fifteen states, there is evidence of a causal effect of a child death on the risk of death of the subsequent child in the same family (a scarring effect), which is identified after controlling for observed and unobserved heterogeneity at the family level. The two states in which evidence of scarring is weak are Punjab, the richest, and Kerala, the state that is most advanced in socio-economic terms. In the other states, scarring effects are large. Indeed, the only other covariate that has a marginal effect on mortality that is as big, or bigger, than the survival status of a preceding sibling is an indicator for mothers having attained secondary or higher levels of education. These results show that policies targeted at reducing infant mortality will have social multiplier effects through helping avoid the death of subsequent siblings. The size of the scarring effect depends upon the gender of the previous child in three states, in a direction consistent with son-preference. Comparison of other covariate effects across the states offers some new insights, there being no previous research that has compared the determinants of infant mortality across the Indian states.
|Date of creation:||Dec 2006|
|Date of revision:|
|Publication status:||published as 'The linked survival prospects of siblings: evidence for the Indian States' in: Population Studies, 2008, 62 (2), 171-190|
|Contact details of provider:|| Postal: |
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org
|Order Information:|| Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Strauss, J. & Thomas, D., 1995. "Empirical Modeling of Household and Family Decisions," Papers 95-12, RAND - Reprint Series.
- Behrman, Jere R & Wolfe, Barbara L, 1984. "The Socioeconomic Impact of Schooling in a Developing Country," The Review of Economics and Statistics, MIT Press, vol. 66(2), pages 296-303, May.
- 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 161-85, 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.
- Bhalotra, Sonia & Soest, Arthur van, 2008.
"Birth-spacing, fertility and neonatal mortality in India: Dynamics, frailty, and fecundity,"
Journal of Econometrics,
Elsevier, vol. 143(2), pages 274-290, April.
- Bhalotra, Sonia R. & van Soest, Arthur, 2006. "Birth Spacing, Fertility and Neonatal Mortality in India: Dynamics, Frailty and Fecundity," IZA Discussion Papers 2163, Institute for the Study of Labor (IZA).
- Sonia Bhalotra & Arthur van Soest, 2007. "Birth Spacing, Fertility and Neonatal Mortality in India:Dynamics, Frailty and Fecundity," The Centre for Market and Public Organisation 07/168, Department of Economics, University of Bristol, UK.
- Wiji Arulampalam & Sonia Bhalotra, 2004. "Inequality in Infant Survival Rates in India: Identification of State-Dependence Effects," Bristol Economics Discussion Papers 04/558, Department of Economics, University of Bristol, UK.
- 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.
- Aizer, Anna & Currie, Janet, 2004.
"Networks or neighborhoods? Correlations in the use of publicly-funded maternity care in California,"
Journal of Public Economics,
Elsevier, vol. 88(12), pages 2573-2585, December.
- Anna Aizer & Janet Currie, 2002. "Networks or Neighborhoods? Correlations in the Use of Publicly-Funded Maternity Care in California," NBER Working Papers 9209, National Bureau of Economic Research, Inc.
- Mark R. Rosenzweig & Kenneth I. Wolpin, 1994. "Are There Increasing Returns to the Intergenerational Production of Human Capital? Maternal Schooling and Child Intellectual Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 29(2), pages 670-693.
- Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
- Gary Solon & Mary Corcoran & GRoger Gordon & Deborah Laren, 1991. "A Longitudinal Analysis of Sibling Correlations in Economic Status," Journal of Human Resources, University of Wisconsin Press, vol. 26(3), pages 509-534.
- 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.
- Altonji, Joseph G & Dunn, Thomas A, 1996.
"Using Siblings to Estimate the Effect of School Quality on Wages,"
The Review of Economics and Statistics,
MIT Press, vol. 78(4), pages 665-71, November.
- Joseph G. Altonji & Thomas A. Dunn, . "Using Siblings to Estimate the Effect of School Quality on Wages," IPR working papers 96-10, Institute for Policy Resarch at Northwestern University.
- Manski, C.F., 1992. "Identification Problems in the Social Sciences," Working papers 9217, Wisconsin Madison - Social Systems.
- David Neumark & Sanders Korenman, 1992.
"Sources of Bias in Women's Wage Equations: Results Using Sibling Data,"
NBER Working Papers
4019, National Bureau of Economic Research, Inc.
- David Neumark & Sanders Korenman, 1994. "Sources of Bias in Women's Wage Equations: Results Using Sibling Data," Journal of Human Resources, University of Wisconsin Press, vol. 29(2), pages 379-405.
- DaVanzo, J. & Pebley, A.R., 1993. "Maternal Depletion and Child Survival in Guatemala and Malaysia," Papers 93-18, RAND - Labor and Population Program.
- Butcher, Kristin F & Case, Anne, 1994. "The Effect of Sibling Sex Composition on Women's Education and Earnings," The Quarterly Journal of Economics, MIT Press, vol. 109(3), pages 531-63, August.
- Gerald S. Oettinger, 2000. "Sibling Similarity in High School Graduation Outcomes: Causal Interdependency or Unobserved Heterogeneity?," Southern Economic Journal, Southern Economic Association, vol. 66(3), pages 631-648, January.
- Jeffrey M Wooldridge, 2002.
"Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity,"
CeMMAP working papers
CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
- Arulampalam, Wiji & Bhalotra, Sonia R., 2006. "Sibling Death Clustering in India: State Dependence vs. Unobserved Heterogeneity," IZA Discussion Papers 2251, Institute for the Study of Labor (IZA).
When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp2488. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak)
If references are entirely missing, you can add them using this form.