A semiparametric analysis of gasoline demand in the United States reexamining the impact of price

Econometric Reviews

Volumn 29, Issue 4, 2010, Pages 439-468

  Manzan, Sebastiano ^a   Zerom, Dawit ^b  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

Gasoline demand; Partially linear additive model; Semiparametric methods

Indexed keywords

EID: 77950989474     PISSN: 07474938     EISSN: 15324168     Source Type: Journal    
DOI: 10.1080/07474930903562320     Document Type: Article

References (29)

1. Aït Sahalia, Y., Bickel, P. J., Stoker, T. M. (2001). Goodness-of-fit tests for regression using kernel methods. Journal of Econometrics 105:363-412.
2. Blundell, R., Duncan, A. (1998). Kernel regression in empirical microeconomics. Journal of Human Resources 33:62-87.
3. Blundell, R., Duncan, A., Pendakur, K. (1998). Semiparametric estimation and consumer demand. Journal of Applied Econometrics 13:435-461.
4. Chamberlain, G. (1992). Efficiency bounds for semiparametric regression. Econometrica 60:567-596.
5. Congressional Budget Office. (2002). Reducing gasoline consumption: Three policy options. CBO study. Washington.
6. Congressional Budget Office. (2003). The economic costs of fuel economy standards versus a gasoline tax. CBO study.
7. Coppejans, M. (2003). Flexible but parsimonious demand designs: The case of gasoline. Review of Economics and Statistics 85:680-692.
8. Dahl, C., Sterner, T. (1991). Analysing gasoline demand elasticities: A survey. Energy Economics 13:203-210.
9. Fan, Y., Li, Q. (2003). A kernel-based method for estimating additive partially linear models. Statistica Sinica 13:739-762.
10. Fan, J., Härdle, W., Mammen, E. (1998). Direct estimation of low dimensional components in additive models. Annals of Statistics 26:943-971.
11. Graham, D. J., Glaister, S. (2002). The demand for automobile fuel: A survey of elasticities. Journal of Transportation Economics and Policy 36:1-26.
12. Hausman, J. A., Newey, W. K. (1995). Nonparametric estimation of exact consumers surplus and deadweight loss. Econometrica 63:1445-1476.
13. Hengartner, N. W., Sperlich, S. (2005). Rate optimal estimation with the integration method in the presence of many covariates. Journal of Multivariate Analysis 95:246-272.
14. Kim, W., Linton, O. B., Hengartner, N. W. (1999). A computationally efficient oracle estimator for additive nonparametric regression with bootstrap confidence intervals. Journal of Computational and Graphical Statistics 8:278-297.
15. Li, Q. (2000). Efficient estimation of additive partial linear models. International Economic Review 41:1073-1091.
16. Linton, O. B. (1996). Efficient estimation of additive nonparametric regression models. Biometrika 84:469-474.
17. Liu, R. Y. (1988). Bootstrap procedure under some non-i.i.d. models. Annals of Statistics 16:1696- 1708.
18. Manzan, S., Zerom, D. (2005). Kernel estimation of a partially linear additive model. Statistics & Probability Letters 72:313-322.
19. Moral, I., Rodriguez-Poo, J. M. (2004). An efficient marginal integration estimator of a semiparametric additive modeling. Statistics and Probability Letters 69:451-463.
20. Newey, W., Powell, J., Vella, F. (1999). Nonparametric estimation of triangular simultaneous equations models. Econometrica 67(3):565-603.
21. Nicol, C. J. (2003). Elasticities of demand for gasoline in Canada and the United States. Energy Economics 25:201-214.
22. Parry, I. W. H., Small, K. A. (2005). Does Britain or the United States have the right gasoline tax? American Economic Review 95:1276-1289.
23. Puller, S. L., Greening, L. A. (1999). Household adjustment to gasoline price change: An analysis using 9 years of U.S. survey data. Energy Economics 21:37-52.
24. Robinson, P. (1988). Root-n consistent semiparametric regression. Econometrica 56:931-954.
25. Schmalensee, R., Stoker, T. M. (1999). Household gasoline demand in the United States. Econometrica 67:645-662.
26. Small, K. A., van Dender, K. (2007). Fuel efficiency and motor vehicle travel: The declining rebound effect. Energy Journal 28:25-51.
27. U.S. Department of Energy (1996). Policies and measures for reducing energy related greenhouse gas emissions: Lessons from recent literature. Report No. DOE/PO-0047.
28. U.S. Department of Energy (2004). Emissions of greenhouse gases in the United States 2003. Report No. DOE/EIA-0573.
29. Yatchew, A., No, J. A. (2001). Household gasoline demand in Canada. Econometrica 69:1697-1709.