Home>Publications>Quantitative Economics>Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation
This paper develops a new method for estimating a demand function and the wel- fare consequences of price changes. The method is applied to gasoline demand in the United States and is applicable to other goods. The method uses shape restric- tions derived from economic theory to improve the precision of a nonparametric estimate of the demand function. Using data from the U.S. National Household Travel Survey, we show that the restrictions are consistent with the data on gaso- line demand and remove the anomalous behavior of a standard nonparametric estimator. Our approach provides new insights about the price responsiveness of gasoline demand and the way responses vary across the income distribution. We find that price responses vary non-monotonically with income. In particular, we find that low- and high-income consumers are less responsive to changes in gasoline prices than are middle-income consumers. We find similar results using comparable data from Canada. Keywords. Consumer demand, nonparametric estimation, gasoline demand, deadweight loss. JEL classification. D120, H310, C140
MLA
Blundell, Richard, et al. “Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation.” Quantitative Economics, vol. 3, .no 1, Econometric Society, 2012, pp. -,
Chicago
Blundell, Richard, Joel L. Horowitz, and Matthias Parey. “Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation.” Quantitative Economics, 3, .no 1, (Econometric Society: 2012), -.
APA
Blundell, R., Horowitz, J. L., & Parey, M. (2012). Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation. Quantitative Economics, 3(1), -.
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