Estimating Price Elasticities with Nonlinear Errors in Variables
This paper estimates a price elasticity using a flexible demand specification on survey data where prices are observed with errors and are correlated with household characteristics. The demand function is modeled as a polynomial/trigonometric in the unobserved true prices, and the form of the dependency between the observed prices and household characteristics is modeled parametrically. I identify and estimate the model by adapting the approach of Hausmann et al. (1991) and Schennach (2004). The flexible specifications allow us to observe that price elasticities vary across the price distribution, something missed in previous work using linear demand specifications. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
Volume (Year): 91 (2009)
Issue (Month): 4 (November)
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- Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
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- Susanne M. Schennach, 2004. "Estimation of Nonlinear Models with Measurement Error," Econometrica, Econometric Society, vol. 72(1), pages 33-75, 01.
- repec:cup:cbooks:9780521496032 is not listed on IDEAS
- Kennan, John, 1989. "Simultaneous Equations Bias in Disaggregated Econometric Models," Review of Economic Studies, Wiley Blackwell, vol. 56(1), pages 151-56, January.
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