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Mismeasured Household Size and Its Implications for the Identification of Economies of Scale

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  • Timothy Halliday

    ()
    (Department of Economics, University of Hawaii at Manoa
    John A. Burns School of Medicine, University of Hawaii at Manoa)

Abstract

We consider the possibility that household demographic variables are measured with error. Such errors will arise because income and consumption surveys measure the household's structure at a point-in-time, whereas the demographic composition of the household is constantly evolving over the survey period. We construct and estimate sharp bounds which suggest that the degree of these measurement errors is nontrivial. We also provide evidence that these errors may have important ramifications for recent work on the identification of economies of scale within households.

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File URL: http://www.economics.hawaii.edu/research/workingpapers/WP_07-9.pdf
File Function: First version, 2007
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Bibliographic Info

Paper provided by University of Hawaii at Manoa, Department of Economics in its series Working Papers with number 200709.

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Length: 34 pages
Date of creation: 22 Mar 2007
Date of revision:
Handle: RePEc:hai:wpaper:200709

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Keywords: Migration; Measurement Error; Semi-Parametric Bounds; Economies of Scale;

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  1. Trevon D. Logan, 2011. "Economies Of Scale In The Household: Puzzles And Patterns From The American Past," Economic Inquiry, Western Economic Association International, vol. 49(4), pages 1008-1028, October.
  2. Gibson, John, 2001. "Measuring chronic poverty without a panel," Journal of Development Economics, Elsevier, vol. 65(2), pages 243-266, August.
  3. Deaton, Angus S & Muellbauer, John, 1986. "On Measuring Child Costs: With Applications to Poor Countries," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 720-44, August.
  4. Deaton, A. & Paxson, C., 1997. "Economies of Scale, Household Size, and the Demand for Food," Papers 178, Princeton, Woodrow Wilson School - Development Studies.
  5. J. Gibson & S. Rozelle, 2002. "How Elastic is Calorie Demand? Parametric, Nonparametric, and Semiparametric Results for Urban Papua New Guinea," Journal of Development Studies, Taylor & Francis Journals, vol. 38(6), pages 23-46.
  6. Banerjee, Abhijit & Duflo, Esther, 2006. "The Economic Lives of the Poor," CEPR Discussion Papers 5968, C.E.P.R. Discussion Papers.
  7. Lanjouw, Peter & Ravallion, Martin, 1995. "Poverty and Household Size," Economic Journal, Royal Economic Society, vol. 105(433), pages 1415-34, November.
  8. Gibson, John, 2002. " Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 341-59, September.
  9. Li Gan & Victoria Vernon, 2003. "Testing the Barten Model of Economies of Scale in Household Consumption: Toward Resolving a Paradox of Deaton and Paxson," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1361-1377, December.
  10. Angus Deaton & Christina Paxson, 2003. "Engel's What? A Response to Gan and Vernon," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1378-1381, December.
  11. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
  12. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Recall Surveys and the Relationship between Household Size and Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 473-489.
  13. Hu, Yingyao, 2006. "Bounding parameters in a linear regression model with a mismeasured regressor using additional information," Journal of Econometrics, Elsevier, vol. 133(1), pages 51-70, July.
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Cited by:
  1. John Gibson & Bonggeun Kim, 2011. "How Reliable are Household Expenditures as a Proxy for Permanent Income? Implications for the Income-Nutrition Relationship," Working Papers in Economics 11/03, University of Waikato, Department of Economics.

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