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Intrahousehold Resource Allocation in Rural Pakistan: A Semi-parametric Analysis

  • Cliff Attfield
  • Sonia R Bhalotra

We estimate semiparametric Engel curves for rural Pakistan using a large household survey. This allows us to obtain consistent estimates of the effects of household size and composition on consumption patterns even when these demographic variables are correlated with an unknown function of income. The coefficients on the household composition variables are used to infer patterns of intrahousehold allocation. While there is little evidence of gender bias amongst children, adult males appear to get more than adult females. There is a tendency amongst males for workers to get more than dependents. There is no evidence of differential treatment of the elderly and higher birth-order children. We identify substantial economies of size in food consumption. We also find that Engel curces for food, adult goods and child goods are nonlinear, which suggests that the PIGLOG class of demand models in inappropriate.

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Paper provided by Suntory and Toyota International Centres for Economics and Related Disciplines, LSE in its series STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers with number 11.

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Date of creation: Feb 1998
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Handle: RePEc:cep:stidep:11
Contact details of provider: Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp

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  16. Deaton, Angus S, 1989. "Looking for Boy-Girl Discrimination in Household Expenditure Data," World Bank Economic Review, World Bank Group, vol. 3(1), pages 1-15, January.
  17. Rosenzweig, Mark R & Schultz, T Paul, 1982. "Market Opportunities, Genetic Endowments, and Intrafamily Resource Distribution: Child Survival in Rural India," American Economic Review, American Economic Association, vol. 72(4), pages 803-15, September.
  18. Aït-Sahalia, Yacine. & Bickel, Peter J. & Stoker, Thomas M., 1994. "Goodness-of-fit tests for regression using kernel methods," Working papers 3747-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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