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Estimation of price elasticities from cross-sectional data

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Author Info

  • Chanjin Chung

    (322 Agricultural Hall, Oklahoma State University, Stillwater, Oklahoma 74078)

  • Diansheng Dong

    (311 Warren Hall, Cornell University, Ithaca, New York 14853)

  • Todd M. Schmit

    (312 Warren Hall, Cornell University, Ithaca, New York 14853)

  • Harry M. Kaiser

    (346 Warren Hall, Cornell University, Ithaca, New York 14853)

  • Brian W. Gould

    (411 Taylor Hall, University of Wisconsin-Madison, Madison, Wisconsin 53707)

Abstract

This study develops an empirical framework to estimate quality-adjusted price elasticities from cross-sectional data. The new approach shows the importance of properly adjusting for quality variation in both prices and quantities in demand analysis. When quality adjustment is concerned only with price, the unit value-based elasticity tends to overstate the true price elasticity. However, when the quality adjustment is considered with both price and quantity, the direction of bias depends on the level of the true price elasticity. If the true price elasticity is unit elastic, there would be no bias. However, the price elasticity estimated with unit values would understate a true inelastic price elasticity while it would overstate a true elastic price elasticity. [EconLit citations: D120 Q110]. © 2005 Wiley Periodicals, Inc. Agribusiness 21: 565-584, 2005.

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File URL: http://hdl.handle.net/10.1002/agr.20065
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Agribusiness.

Volume (Year): 21 (2005)
Issue (Month): 4 ()
Pages: 565-584

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Handle: RePEc:wly:agribz:v:21:y:2005:i:4:p:565-584

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Web page: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297

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  1. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
  2. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-43, June.
  3. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-30, June.
  4. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
  5. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
  6. Goldman, Fred & Grossman, Michael, 1978. "The Demand for Pediatric Care: An Hedonic Approach," Journal of Political Economy, University of Chicago Press, vol. 86(2), pages 259-80, April.
  7. Diansheng Dong & Brian W. Gould, 2000. "Quality versus quantity in Mexican household poultry and pork purchases," Agribusiness, John Wiley & Sons, Ltd., vol. 16(3), pages 333-355.
  8. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-71, July.
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Citations

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Cited by:
  1. Cuma Akbay, 2007. "Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 851-867, December.
  2. Thiele, Silke, 2008. "Elastizitäten der Nachfrage privater Haushalte nach Nahrungsmitteln – Schätzung eines AIDS auf Basis der Einkommens- und Verbrauchsstichprobe 2003," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(5).
  3. Haoatai, Heinarii & Monypenny, Richard, 2011. "Export demand for Tahitian black pearls," Australasian Agribusiness Review, University of Melbourne, Melbourne School of Land and Environment, vol. 19.

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