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Asymmetric fuel price responses under heterogeneity

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  • Balaguer, Jacint
  • Ripollés, Jordi

Abstract

We explore the effect of cross-sectional aggregation of data on estimation and test of asymmetric retail fuel price responses to wholesale price shocks. The analysis is performed on data collected daily from individual fuel stations in the Spanish metropolitan areas of Madrid and Barcelona. While the standard OLS estimator is applied to an error correction model in the case of the aggregated time series, we use the mean group approaches developed by Pesaran and Smith (1995) and Pesaran (2006) to estimate the short- and long-run micro-relations under heterogeneity. We found remarkable differences between the results of estimations using aggregated and disaggregated data, which are highly robust to both datasets considered. Our findings could help to explain many of the results in the literature on this research topic. On the one hand, they suggest that the typical estimation with aggregated data clearly tends to overestimate the persistence of shocks. On the other hand, we show that aggregation may generate a loss of efficiency in econometric estimates that is sufficiently large to hide the existence of the “rockets and feathers” phenomenon.

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  • Balaguer, Jacint & Ripollés, Jordi, 2016. "Asymmetric fuel price responses under heterogeneity," Energy Economics, Elsevier, vol. 54(C), pages 281-290.
  • Handle: RePEc:eee:eneeco:v:54:y:2016:i:c:p:281-290
    DOI: 10.1016/j.eneco.2015.12.006
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    1. Christian Broda & David E. Weinstein, 2008. "Understanding International Price Differences Using Barcode Data," NBER Working Papers 14017, National Bureau of Economic Research, Inc.
    2. Jean Imbs & Haroon Mumtaz & Morten O. Ravn & Hélène Rey, 2005. "PPP Strikes Back: Aggregation And the Real Exchange Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 1-43.
    3. Michael Noel, 2009. "Do retail gasoline prices respond asymmetrically to cost shocks? The influence of Edgeworth Cycles," RAND Journal of Economics, RAND Corporation, vol. 40(3), pages 582-595, September.
    4. Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
    5. Szymon Wlazlowski & Monica Giulietti & Jane Binner & Costas Milas, 2011. "Price Transmission in the EU Wholesale Petroleum Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 165-172, January.
    6. Jörg Breitung & Samarjit Das, 2005. "Panel unit root tests under cross‐sectional dependence," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 414-433, November.
    7. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    8. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    9. Garrett, Thomas A., 2003. "Aggregated versus disaggregated data in regression analysis: implications for inference," Economics Letters, Elsevier, vol. 81(1), pages 61-65, October.
    10. Geweke, John F, 1978. "Temporal Aggregation in the Multiple Regression Model," Econometrica, Econometric Society, vol. 46(3), pages 643-661, May.
    11. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    12. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    13. Sam Peltzman, 2000. "Prices Rise Faster than They Fall," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 466-502, June.
    14. Asane-Otoo, Emmanuel & Schneider, Jan, 2015. "Retail fuel price adjustment in Germany: A threshold cointegration approach," Energy Policy, Elsevier, vol. 78(C), pages 1-10.
    15. Bettendorf, Leon & van der Geest, Stephanie A. & Varkevisser, Marco, 2003. "Price asymmetry in the Dutch retail gasoline market," Energy Economics, Elsevier, vol. 25(6), pages 669-689, November.
    16. Bacon, Robert W., 1991. "Rockets and feathers: the asymmetric speed of adjustment of UK retail gasoline prices to cost changes," Energy Economics, Elsevier, vol. 13(3), pages 211-218, July.
    17. Pesaran, M. Hashem & Chudik, Alexander, 2014. "Aggregation in large dynamic panels," Journal of Econometrics, Elsevier, vol. 178(P2), pages 273-285.
    18. Al-Gudhea, Salim & Kenc, Turalay & Dibooglu, Sel, 2007. "Do retail gasoline prices rise more readily than they fall?: A threshold cointegration approach," Journal of Economics and Business, Elsevier, vol. 59(6), pages 560-574.
    19. P. K. Trivedi, 1985. "Distributed Lags, Aggregation and Compounding: Some Econometric Implications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(1), pages 19-35.
    20. Lance J. Bachmeier & James M. Griffin, 2003. "New Evidence on Asymmetric Gasoline Price Responses," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
    21. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    22. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    23. Nicholas J. Powers, 1995. "Sticky short-run prices and vertical pricing: Evidence from the market for iceberg lettuce," Agribusiness, John Wiley & Sons, Ltd., vol. 11(1), pages 57-75.
    24. Galeotti, Marzio & Lanza, Alessandro & Manera, Matteo, 2003. "Rockets and feathers revisited: an international comparison on European gasoline markets," Energy Economics, Elsevier, vol. 25(2), pages 175-190, March.
    25. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    26. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    27. Radchenko, Stanislav, 2005. "Lags in the response of gasoline prices to changes in crude oil prices: The role of short-term and long-term shocks," Energy Economics, Elsevier, vol. 27(4), pages 573-602, July.
    28. Hashem Pesaran, M., 2003. "Aggregation of linear dynamic models: an application to life-cycle consumption models under habit formation," Economic Modelling, Elsevier, vol. 20(2), pages 383-415, March.
    29. Balaguer, Jacint & Ripollés, Jordi, 2012. "Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data," Energy Economics, Elsevier, vol. 34(6), pages 2066-2071.
    30. Valadkhani, Abbas, 2013. "Modelling the terminal gate prices of unleaded petrol in Australia," Economic Modelling, Elsevier, vol. 33(C), pages 233-243.
    31. Stoker, Thomas M, 1993. "Empirical Approaches to the Problem of Aggregation Over Individuals," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1827-1874, December.
    32. L. Bettendorf & S. A. van der Geest & G. H. Kuper, 2009. "Do daily retail gasoline prices adjust asymmetrically?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(4), pages 385-397.
    33. Stephan von Cramon-Taubadel & Jens-Peter Loy & Jochen Meyer, 2006. "The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 505-522.
    34. Kuper, Gerard H., 2012. "Inventories and upstream gasoline price dynamics," Energy Economics, Elsevier, vol. 34(1), pages 208-214.
    35. Contín-Pilart, Ignacio & Correljé, Aad F. & Blanca Palacios, M., 2009. "Competition, regulation, and pricing behaviour in the Spanish retail gasoline market," Energy Policy, Elsevier, vol. 37(1), pages 219-228, January.
    36. Lippi, Marco, 1988. "On the dynamic shape of aggregated error correction models," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 561-585.
    37. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    38. Robertson, Raymond & Kumar, Anil & Dutkowsky, Donald H., 2009. "Purchasing Power Parity and aggregation bias for a developing country: The case of Mexico," Journal of Development Economics, Elsevier, vol. 90(2), pages 237-243, November.
    39. repec:hal:journl:peer-00796743 is not listed on IDEAS
    40. repec:taf:jnlbes:v:30:y:2012:i:2:p:165-172 is not listed on IDEAS
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    3. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "A review of the evidence on the relation between crude oil prices and petroleum product prices," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 1-15.
    4. Perdiguero, Jordi & Jiménez, Juan Luis, 2021. "Price coordination in the Spanish oil market: The monday effect," Energy Policy, Elsevier, vol. 149(C).
    5. Cui, Jian & Yang, Hanfang & Wang, Yifan & Yang, Caili, 2023. "Dynamics of the gas retail market under China's price cap regulation," Energy Policy, Elsevier, vol. 174(C).
    6. Zacharias Bragoudakis & Stavros Degiannakis & George Filis, 2019. "Oil and pump prices: is there any asymmetry in the Greek oil downstream sector?," Working Papers 268, Bank of Greece.
    7. González, Xulia & Moral, María J., 2019. "Effects of antitrust prosecution on retail fuel prices," International Journal of Industrial Organization, Elsevier, vol. 67(C).
    8. Jacint Balaguer & Jordi Ripollés, 2016. "Exploring the life of price responses in fuel markets. Mean group data or mean group estimator?," Working Papers 2016/16, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Emmanuel Asane-Otoo & C. Dannemann, 2021. "Station heterogeneity and asymmetric gasoline price responses," Working Papers V-436-21, University of Oldenburg, Department of Economics, revised Aug 2021.
    10. Palencia-González, Francisco J. & Navío-Marco, Julio & Juberías-Cáceres, Gema, 2020. "Analysis of brand influence in the rockets and feathers effect using disaggregated data," Research in International Business and Finance, Elsevier, vol. 52(C).
    11. Deltas, George & Polemis, Michael, 2020. "Estimating retail gasoline price dynamics: The effects of sample characteristics and research design," Energy Economics, Elsevier, vol. 92(C).
    12. Balaguer, Jacint & Ripollés, Jordi, 2020. "Do classes of gas stations contribute differently to fuel prices? Evidence to foster effective competition in Spain," Energy Policy, Elsevier, vol. 139(C).

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    More about this item

    Keywords

    Fuel pricing behavior; Asymmetric adjustment; Cross-sectional aggregation;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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