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Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption : The Case of American and Polish Data

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  • François Gardes

    (Crest)

  • Greg J, Duncan

    (Crest)

  • Patrice Gaubert

    (Crest)

  • Christophe Starzec

    (Crest)

Abstract

The problem addressed in this article is the bias to income and expenditure elasticities estimated on pseudo-panel data caused by measurement error and unobserved heterogeneity. We gauge empirically these biases by comparing cross-sectional, pseudo-panel and true panel data from both Polish and American expenditure surveys. Our results suggest that unobserved heterogeneity imparts a downward bias to cross-section estimates of income elasticities of at-home food expenditures and an upward bias to estimates of income elasticities of away-from-home food expenditures. "Within" and first-difference estimators suffer less bias, but only if the effects of measurement error are accounted for with instrumental variables.

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Bibliographic Info

Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2002-02.

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Date of creation: 2002
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Handle: RePEc:crs:wpaper:2002-02

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  1. Altonji, Joseph G & Siow, Aloysius, 1987. "Testing the Response of Consumption to Income Changes with (Noisy) Panel Data," The Quarterly Journal of Economics, MIT Press, vol. 102(2), pages 293-328, May.
  2. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
  3. Verbeek, Marno & Nijman, Theo, 1993. "Minimum MSE estimation of a regression model with fixed effects from a series of cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 125-136, September.
  4. Sumru Altug & Robert A. Miller, 1987. "Household choices in equilibrium," Working Papers 341, Federal Reserve Bank of Minneapolis.
  5. Robert E. Hall & Frederic S. Mishkin, 1982. "The Sensitivity of Consumption to Transitory Income: Estimates from Panel Data on Households," NBER Working Papers 0505, National Bureau of Economic Research, Inc.
  6. Stephen P. Zeldes, . "Consumption and Liquidity Constraints: An Empirical Investigation," Rodney L. White Center for Financial Research Working Papers 16-88, Wharton School Rodney L. White Center for Financial Research.
  7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  8. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
  9. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
  10. Arellano, Manuel, 1989. "A note on the Anderson-Hsiao estimator for panel data," Economics Letters, Elsevier, vol. 31(4), pages 337-341, December.
  11. Naik, Narayan Y & Moore, Michael J, 1996. "Habit Formation and Intertemporal Substitution in Individual Food Consumption," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 321-28, May.
  12. Baltagi, Badi H., 1988. "An Alternative Heteroscedastic Error Components Model," Econometric Theory, Cambridge University Press, vol. 4(02), pages 349-350, August.
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Cited by:
  1. Marie Cottrell & Patrice Gaubert, 2003. "Efficient estimators : the use of neural networks to construct pseudo panels," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00122817, HAL.
  2. Kim, Byung-Yeon & Kang, Youngho, 2014. "Social capital and entrepreneurial activity: A pseudo-panel approach," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 47-60.
  3. Marie Cottrell & Patrice Gaubert, 2003. "Efficient estimators : the use of neural networks to construct pseudo panels," Post-Print hal-00122817, HAL.

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