Estimation of Price Elasticities from Cross-Sectional Data
This study develops an empirical framework that can be used to estimate quality-adjusted price elasticities from cross-sectional data, which are theoretically consistent and comparable to elasticities from time-series data. The new approach shows the importance of properly adjusting for quality variation in demand analysis.
|Date of creation:||2001|
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- Fred Goldman & Michael Grossman, 1979.
"The Demand for Pediatric Care: An Hedonic Approach,"
NBER Working Papers
0134, National Bureau of Economic Research, Inc.
- 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.
- Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-43, June.
- 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.
- 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.
- Deaton, Angus, 1988.
"Quality, Quantity, and Spatial Variation of Price,"
American Economic Review,
American Economic Association, vol. 78(3), pages 418-30, June.
- 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.
- 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.
- 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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