IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v62y2017icp46-55.html
   My bibliography  Save this article

A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing

Author

Listed:
  • LeSage, James P.
  • Vance, Colin
  • Chih, Yao-Yu

Abstract

We apply a heterogenous coefficient spatial autoregressive panel model to explore competition/cooperation by duopoly pairs of German fueling stations in setting prices for diesel and e5 fuel. We rely on a Markov Chain Monte Carlo (MCMC) estimation methodology applied with non-informative priors, which produces estimates equivalent to those from (quasi-) maximum likelihood. We explore station-level pricing behavior using pairs of proximately situated fueling stations with no nearby neighbors. Our sample data represents average daily diesel and e5 fuel prices, and refinery cost information covering more than 487 days.

Suggested Citation

  • LeSage, James P. & Vance, Colin & Chih, Yao-Yu, 2017. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 46-55.
    • Handle: RePEc:eee:regeco:v:62:y:2017:i:c:p:46-55
    DOI: 10.1016/j.regsciurbeco.2016.11.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166046216303337
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.regsciurbeco.2016.11.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
    2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    3. Jeremy A. Verlinda, 2008. "Do Rockets Rise Faster And Feathers Fall Slower In An Atmosphere Of Local Market Power? Evidence From The Retail Gasoline Market," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 581-612, September.
    4. Chouinard, Hayley & Perloff, Jeffrey M., 2004. "Incidence of federal and state gasoline taxes," Economics Letters, Elsevier, vol. 83(1), pages 55-60, April.
    5. Bello, Alejandro & Contín-Pilart, Ignacio, 2012. "Taxes, cost and demand shifters as determinants in the regional gasoline price formation process: Evidence from Spain," Energy Policy, Elsevier, vol. 48(C), pages 439-448.
    6. Matthew Lewis, 2008. "Price Dispersion And Competition With Differentiated Sellers," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 654-678, September.
    7. Maarten Allers & J. Elhorst, 2005. "Tax Mimicking and Yardstick Competition Among Local Governments in the Netherlands," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(4), pages 493-513, August.
    8. Alex Kihm & Nolan Ritter & Colin Vance, 2016. "Is the German Retail Gasoline Market Competitive? A Spatial-Temporal Analysis Using Quantile Regression," Land Economics, University of Wisconsin Press, vol. 92(4), pages 718-736.
    9. 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.
    10. 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.
    11. Eckert, Andrew & West, Douglas S., 2005. "Price uniformity and competition in a retail gasoline market," Journal of Economic Behavior & Organization, Elsevier, vol. 56(2), pages 219-237, February.
    12. Dieter Pennerstorfer, 2009. "Spatial price competition in retail gasoline markets: evidence from Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 133-158, March.
    13. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    14. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    15. Andrew Eckert, 2013. "Empirical Studies Of Gasoline Retailing: A Guide To The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 27(1), pages 140-166, February.
    16. Haucap, Justus & Heimeshoff, Ulrich & Siekmann, Manuel, 2015. "Price dispersion and station heterogeneity on German retail gasoline markets," DICE Discussion Papers 171, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    17. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    18. Giuseppe Arbia & Badi H. Baltagi (ed.), 2009. "Spatial Econometrics," Studies in Empirical Economics, Springer, number 978-3-7908-2070-6, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    2. Frondel, Manuel & Horvath, Marco & Vance, Colin & Kihm, Alexander, 2019. "Increased market transparency in Germany's gasoline market: What about rockets and feathers?," Ruhr Economic Papers 810, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
    4. Funashima, Yoshito & Ohtsuka, Yoshihiro, 2019. "Spatial crowding-out and crowding-in effects of government spending on the private sector in Japan," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 35-48.
    5. Horvath, Marco, 2019. "Germany's market transparency unit for fuels: Fostering collusion or competition?," Ruhr Economic Papers 836, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Sommer, Stephan & Vance, Colin, 2021. "Do more chargers mean more electric cars?," Ruhr Economic Papers 893, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Thomas Suesse, 2018. "Estimation of spatial autoregressive models with measurement error for large data sets," Computational Statistics, Springer, vol. 33(4), pages 1627-1648, December.
    8. Elhorst, Paul & Faems, Dries, 2021. "Evaluating proposals in innovation contests: Exploring negative scoring spillovers in the absence of a strict evaluation sequence," Research Policy, Elsevier, vol. 50(4).
    9. Bergantino, Angela S. & Capozza, Claudia & Intini, Mario, 2020. "Empirical investigation of retail fuel pricing: The impact of spatial interaction, competition and territorial factors," Energy Economics, Elsevier, vol. 90(C).
    10. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    11. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    2. 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).
    3. Jens‐Peter Loy & Dieter Pennerstorfer & Daniela Rroshi & Christoph Weiss & Biliana Yontcheva, 2022. "Consumer Information and Price Transmission: Empirical Evidence," Journal of Industrial Economics, Wiley Blackwell, vol. 70(3), pages 631-683, September.
    4. Frederik von Waldow & Heike Link, 2024. "Spatial Competition and Pass-through of Fuel Taxes: Evidence from a Quasi-natural Experiment in Germany," Discussion Papers of DIW Berlin 2086, DIW Berlin, German Institute for Economic Research.
    5. Lesage, James P. & Vance, Colin & Chih, Yao-Yu, 2016. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel price rivalry," Ruhr Economic Papers 617, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Noel, Michael D. & Qiang, Hongjie, 2019. "The role of information in retail gasoline price dispersion," Energy Economics, Elsevier, vol. 80(C), pages 173-187.
    7. Leonardo C. B. Cardoso & Carlos Frederico A. Uchôa & Williams Huamani & David R. Just & Raúl V. Gomez, 2022. "Price effects of spatial competition in retail fuel markets: the impact of a new rival nearby," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 81-105, February.
    8. Bergantino, Angela S. & Capozza, Claudia & Intini, Mario, 2020. "Empirical investigation of retail fuel pricing: The impact of spatial interaction, competition and territorial factors," Energy Economics, Elsevier, vol. 90(C).
    9. Ahundjanov, Behzod B. & Noel, Michael D., 2021. "What’s in a name? The incidence of gasoline excise taxes versus gasoline carbon levies," International Journal of Industrial Organization, Elsevier, vol. 76(C).
    10. Sylvain Benoît & Yannick Lucotte & Sébastien Ringuedé, 2019. "Competition and price stickiness: Evidence from the French retail gasoline market," Working Papers hal-02292332, HAL.
    11. Satoh, Eiji & Iwase, Ryusuke & Kamakura, Keita & Sawasato, Shinji & Tominaga, Saki, 2018. "Consumer search costs, geographical concentration, and retail gasoline pricing: Evidence from inland Japan," Japan and the World Economy, Elsevier, vol. 45(C), pages 1-8.
    12. Nguyen-Ones, Mai & Steen, Frode, 2018. "Measuring Market Power in Gasoline Retailing: A Market- or Station Phenomenon?," Discussion Paper Series in Economics 6/2018, Norwegian School of Economics, Department of Economics.
    13. Bernd Jost, 2012. "Price Dispersion, Search Costs and Spatial Competition: Evidence from the Austrian Retail Gasoline Market," NEURUS papers neurusp166, NEURUS - Network of European and US Regional and Urban Studies.
    14. Justus Haucap & Ulrich Heimeshoff & Manuel Siekmann, 2017. "Fuel Prices and Station Heterogeneity on Retail Gasoline Markets," The Energy Journal, , vol. 38(6), pages 81-104, November.
    15. Rrukaj, Ritvana & Steen, Frode, 2024. "Asymmetric cost transmission and market power in retail gasoline markets," Discussion Paper Series in Economics 8/2024, Norwegian School of Economics, Department of Economics.
    16. 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.
    17. Jordi Perdiguero-García, 2010. "“Symmetric or asymmetric gasoline prices? A metaanalysis approach”," IREA Working Papers 201013, University of Barcelona, Research Institute of Applied Economics, revised Nov 2010.
    18. Bergantino, Angela Stefania & Capozza, Claudia & Intini, Mario, 2018. "Empirical investigation of retail gasoline prices," Working Papers 18_5, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    19. Aaron Barkley & David P. Byrne & Xiaosong Wu, 2022. "Price effects of calling out market power: A study of the COVID‐19 oil price shock," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 923-941, November.
    20. Alderighi, Marco & Baudino, Marco, 2015. "The pricing behavior of Italian gas stations: Some evidence from the Cuneo retail fuel market," Energy Economics, Elsevier, vol. 50(C), pages 33-46.

    More about this item

    Keywords

    Spatial panel data models; Markov Chain Monte Carlo; Spatial autoregressive model; Observation-level spatial interaction;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:regeco:v:62:y:2017:i:c:p:46-55. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.