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Increasing the price variation in a repeated cross section

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  • Hoderlein, Stefan
  • Mihaleva, Sonya

Abstract

Insufficient price variation seriously hampers many applications of consumer demand models. This paper examines the empirical performance of a potential remedy for this problem that was suggested by [Lewbel, A., 1989. Identification and estimation of equivalence scales under weak separability. Review of Economic Studies 56, 311-316], the construction of individual specific price indices for bundles of goods. These individual specific price indices allow for a population with heterogeneity in preferences for goods within a given bundle of goods. We confine ourselves to heterogeneous Cobb Douglas within bundle preferences, while between bundles, we allow for several parametric and even general nonparametric specifications. In a variety of settings, we show that such prices produce superior empirical results than the ones obtained through the traditional practice of using aggregate price indices. Our empirical analysis is based on the British Family Expenditure Survey data, and uses several categories of food. Both in parametric as well as nonparametric models, we obtain higher precision of estimates for parameters or functions, as well as economically more plausible results.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 147 (2008)
Issue (Month): 2 (December)
Pages: 316-325

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Handle: RePEc:eee:econom:v:147:y:2008:i:2:p:316-325

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Web page: http://www.elsevier.com/locate/jeconom

Related research

Keywords: Equivalence scales Demand system Weak separability Testing rationality Nonparametric;

References

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  1. Hoderlein, Stefan, 2011. "How many consumers are rational?," Journal of Econometrics, Elsevier, vol. 164(2), pages 294-309, October.
  2. Browning, M. & Chiappori, P.A., 1994. "Efficient Intra-Household allocations: A General Characterization and Empirical Tests," DELTA Working Papers 94-16, DELTA (Ecole normale supérieure).
  3. Richard Blundell & Xiaohong Chen & Dennis Kristensen, 2007. "Semi-Nonparametric IV Estimation of Shape-Invariant Engel Curves," Econometrica, Econometric Society, vol. 75(6), pages 1613-1669, November.
  4. Lewbel, Arthur, 1989. "Identification and Estimation of Equivalence Scales under Weak Separability," Review of Economic Studies, Wiley Blackwell, vol. 56(2), pages 311-16, April.
  5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  6. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, December.
  7. Arthur Lewbel, 2001. "Demand Systems with and without Errors," American Economic Review, American Economic Association, vol. 91(3), pages 611-618, June.
  8. Haag, Berthold R. & Hoderlein, Stefan & Pendakur, Krishna, 2009. "Testing and imposing Slutsky symmetry in nonparametric demand systems," Journal of Econometrics, Elsevier, vol. 153(1), pages 33-50, November.
  9. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
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Citations

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Cited by:
  1. Keith R. McLaren & Ou Yang, 2014. "A Class of Demand Systems Satisfying Global Regularity and Having Complete Rank Flexibility," Monash Econometrics and Business Statistics Working Papers 6/14, Monash University, Department of Econometrics and Business Statistics.
  2. Richard Ochmann & Stefan Bach & Martin Beznoska, 2012. "The Retrospective Evaluation of Elements of the VAT System: The Case of Germany; Research Project on Behalf of the European Commission, TAXUD," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 63, number pbk63, July.
  3. Stefan Hoderlein, 2009. "How many consumers are rational?," CeMMAP working papers CWP32/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  4. Boonsaeng, Tullaya & Carpio, Carlos E. & Zhen, Chen & Okrent, Abigail M., 2012. "The Effect of Supplemental Nutrition Assistance Program on Food Spending Among Low-Income Households," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124839, Agricultural and Applied Economics Association.
  5. repec:ags:mareec:118676 is not listed on IDEAS
  6. Koksal, Aycan & Wohlgenant, Michael, 2013. "Pseudo Panel Data Estimation Technique and Rational Addiction Model: An Analysis of Tobacco, Alcohol and Coffee Demands," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150457, Agricultural and Applied Economics Association.
  7. Tiemen Woutersen & John Ham, 2013. "Calculating confidence intervals for continuous and discontinuous functions of parameters," CeMMAP working papers CWP23/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  8. Castellon, Cesar E. & Boonsaeng, Tullaya & Carpio, Carlos E., 2012. "Demand System Estimation in the Absence of Price Data: an Application of Stone-Lewbel Price Indices," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124819, Agricultural and Applied Economics Association.
  9. Martina Menon & Federico Perali & Luca Piccoli, 2012. "The Passive Drinking Effect: A Collective Demand Application," Working Papers 05/2012, University of Verona, Department of Economics.
  10. Harald Tauchmann & Silja Lenz & Till Requate & Christoph Schmidt, 2013. "Tobacco and alcohol: complements or substitutes?," Empirical Economics, Springer, vol. 45(1), pages 539-566, August.

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