IDEAS home Printed from https://ideas.repec.org/r/tpr/restat/v61y1979i3p427-32.html
   My bibliography  Save this item

Consumer Adjustment to a Gasoline Tax

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
  2. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
  3. John Coglianese & Lucas W. Davis & Lutz Kilian & James H. Stock, 2017. "Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
  4. Lin, C.-Y. Cynthia & Prince, Lea, 2009. "The optimal gas tax for California," Energy Policy, Elsevier, vol. 37(12), pages 5173-5183, December.
  5. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
  6. Lucas W. Davis & Lutz Kilian, 2011. "Estimating the effect of a gasoline tax on carbon emissions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(7), pages 1187-1214, November.
  7. Wolff, Hendrik, 2012. "Value of Time: Speeding Behavior and Gasoline Prices," IZA Discussion Papers 6788, Institute of Labor Economics (IZA).
  8. Seyedeh Asieh H. Tabaghdehi, 2018. "Market collusion and regime analysis in the US gasoline market," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-14, December.
  9. Lin, C.-Y. Cynthia & Zeng, Jieyin (Jean), 2013. "The elasticity of demand for gasoline in China," Energy Policy, Elsevier, vol. 59(C), pages 189-197.
  10. Lutz Kilian & Clara Vega, 2011. "Do Energy Prices Respond to U.S. Macroeconomic News? A Test of the Hypothesis of Predetermined Energy Prices," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 660-671, May.
  11. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
  12. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
  13. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
  14. Xiao, Junji & Ju, Heng, 2011. "The impacts of air-pollution motivated automobile consumption tax adjustments of China," MPRA Paper 27743, University Library of Munich, Germany.
  15. Haotian Chen & Xibin Zhang, 2014. "Bayesian Estimation for Partially Linear Models with an Application to Household Gasoline Consumption," Monash Econometrics and Business Statistics Working Papers 28/14, Monash University, Department of Econometrics and Business Statistics.
  16. Coyle, David & DeBacker, Jason & Prisinzano, Richard, 2012. "Estimating the supply and demand of gasoline using tax data," Energy Economics, Elsevier, vol. 34(1), pages 195-200.
  17. Pichler, Eva & Böheim, Michael H., 2013. "Excise taxes on gasoline and suppliers’ market power: A note," Economics Letters, Elsevier, vol. 118(1), pages 110-112.
  18. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
  19. Zhang, Tong & Burke, Paul J., 2020. "The effect of fuel prices on traffic flows: Evidence from New South Wales," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 502-522.
  20. Wolff, Hendrik, 2014. "Value of time: Speeding behavior and gasoline prices," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 71-88.
  21. Junji Xiao & Xiaolan Zhou & Wei‐Min Hu, 2017. "Welfare Analysis Of The Vehicle Quota System In China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(2), pages 617-650, May.
  22. Buket Avci & Karan Girotra & Serguei Netessine, 2015. "Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact," Management Science, INFORMS, vol. 61(4), pages 772-794, April.
  23. Lutz Kilian & Xiaoqing Zhou, 2023. "Heterogeneity in the Pass-Through from Oil to Gasoline Prices: A New Instrument for Estimating the Price Elasticity of Gasoline Demand," CESifo Working Paper Series 10350, CESifo.
  24. Zimmer, Anne & Koch, Nicolas, 2017. "Fuel consumption dynamics in Europe: Tax reform implications for air pollution and carbon emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 22-50.
  25. Pope, Rulon D. & Phipps, Tim T., 1980. "Homogeneity And Non-Nested Dynamic Single Equation Demand Models," Working Papers 225682, University of California, Davis, Department of Agricultural and Resource Economics.
  26. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
  27. Xavier Vanssay & Can Erutku, 2011. "Damage at the Pump: Does Punishment Fit the Crime?," Journal of Industry, Competition and Trade, Springer, vol. 11(4), pages 351-367, December.
  28. Mauricio Vaz Lobo Bittencourt & Leonardo Chaves Borges Cardoso & Elena Grace Irwin, 2016. "Biofuels Policies And Fuel Demand Elasticities In Brazil: An Iv Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 181, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  29. Martijn Brons & Peter Nijkamp & Eric Pels & Piet Rietveld, 2006. "A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach," Tinbergen Institute Discussion Papers 06-106/3, Tinbergen Institute.
  30. Richard Blundell & Joel L. Horowitz & Matthias Parey, 2009. "Measuring the price responsiveness of gasoline demand," CeMMAP working papers CWP11/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  31. Giménez-Nadal, J. Ignacio & Molina, José Alberto, 2019. "Green commuting and gasoline taxes in the United States," Energy Policy, Elsevier, vol. 132(C), pages 324-331.
  32. Afkhami, Mohamad & Ghoddusi, Hamed & Rafizadeh, Nima, 2021. "Google Search Explains Your Gasoline Consumption!," Energy Economics, Elsevier, vol. 99(C).
  33. Francisco Manuel Pizzi, 2020. "¿Cuán lejos viajarías por nafta más barata? Efectos heterogéneos en ventas de combustibles ante un shock impositivo," Asociación Argentina de Economía Política: Working Papers 4389, Asociación Argentina de Economía Política.
  34. Langer, Ashley & Maheshri, Vikram & Winston, Clifford, 2017. "From gallons to miles: A disaggregate analysis of automobile travel and externality taxes," Journal of Public Economics, Elsevier, vol. 152(C), pages 34-46.
  35. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
  36. Setyani Dwi Lestari & Amir Indrabudiman & Wuri Septi Handayani & Teguh Sugiarto, 2019. "Estimation with Macroeconomic Variables in Long-Term Elasticity of Gasoline Consumption," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 326-329.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.