IDEAS home Printed from https://ideas.repec.org/p/att/wimass/9504.html
   My bibliography  Save this paper

Collusion Over the Business Cycle

Author

Listed:
  • Bagwell, K.
  • Staiger, R.W.

Abstract

We present a theory of collusive pricing in markets subject to business cycle fluctuations. In the business cycle model that we adopt, market demand alternates stochastically between fast-growth (boom) and slow-growth (recession) phases. We provide a complete characterization of the most-collusive prices and show that: (1) the most-collusive prices may be procyclical (countercyclical) when demand growth rates are positively (negatively) correlated through time, and (2) the amplitude of the collusive pricing cycle is larger when the expected duration of boom phases decreases and when the expected duration of recession phases increases. We also offer a generalization of Rotemberg and Saloner's (1986) model, and interpret their findings in terms of transitory demand shocks that occur within broader business cycle phases.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bagwell, K. & Staiger, R.W., 1995. "Collusion Over the Business Cycle," Working papers 9504, Wisconsin Madison - Social Systems.
    • Handle: RePEc:att:wimass:9504
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ian Domowitz & R. Glenn Hubbard & Bruce C. Petersen, 1986. "Business Cycles and the Relationship Between Concentration and Price-Cost Margins," RAND Journal of Economics, The RAND Corporation, vol. 17(1), pages 1-17, Spring.
    2. Miron, Jeffrey A & Zeldes, Stephen P, 1988. "Seasonality, Cost Shocks, and the Production Smoothing Models of Inventories," Econometrica, Econometric Society, vol. 56(4), pages 877-908, July.
    3. Glenn Ellison, 1994. "Theories of Cartel Stability and the Joint Executive Committee," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 37-57, Spring.
    4. Green, Edward J & Porter, Robert H, 1984. "Noncooperative Collusion under Imperfect Price Information," Econometrica, Econometric Society, vol. 52(1), pages 87-100, January.
    5. Severin Boreinstein & Andrea Shepard, 1996. "Dynamic Pricing in Retail Gasoline Markets," RAND Journal of Economics, The RAND Corporation, vol. 27(3), pages 429-451, Autumn.
    6. Bils, Mark, 1987. "The Cyclical Behavior of Marginal Cost and Price," American Economic Review, American Economic Association, vol. 77(5), pages 838-855, December.
    7. Robert W. Staiger & Frank A. Wolak, 1992. "Collusive Pricing with Capacity Constraints in the Presence of Demand Uncertainty," RAND Journal of Economics, The RAND Corporation, vol. 23(2), pages 203-220, Summer.
    8. Chevalier, Judith A & Scharfstein, David S, 1996. "Capital-Market Imperfections and Countercyclical Markups: Theory and Evidence," American Economic Review, American Economic Association, vol. 86(4), pages 703-725, September.
    9. Rotemberg, Julio J & Woodford, Michael, 1992. "Oligopolistic Pricing and the Effects of Aggregate Demand on Economic Activity," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1153-1207, December.
    10. Rotemberg, Julio J & Saloner, Garth, 1986. "A Supergame-Theoretic Model of Price Wars during Booms," American Economic Review, American Economic Association, vol. 76(3), pages 390-407, June.
    11. Michihiro Kandori, 1991. "Correlated Demand Shocks and Price Wars During Booms," Review of Economic Studies, Oxford University Press, vol. 58(1), pages 171-180.
    12. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    Full references (including those not matched with items on IDEAS)

    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. Pedro Dal Bó, 2005. "Cooperation under the Shadow of the Future: Experimental Evidence from Infinitely Repeated Games," American Economic Review, American Economic Association, vol. 95(5), pages 1591-1604, December.
    2. Pedro Dal Bó, 2007. "Tacit collusion under interest rate fluctuations," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 533-540, June.
    3. Pedro Dal Bo, 2002. "Three Essays on Repeated Games," Levine's Working Paper Archive 618897000000000038, David K. Levine.
    4. Dan Bernhardt & Mahdi Rastad, 2016. "Collusion Under Risk Aversion and Fixed Costs," Journal of Industrial Economics, Wiley Blackwell, vol. 64(4), pages 808-834, December.
    5. Asplund, Marcus & Eriksson, Rickard & Strand, Niklas, 2001. "Prices, Margins and Liquidity Constraints: Swedish Newspapers 1990-1996," SSE/EFI Working Paper Series in Economics and Finance 470, Stockholm School of Economics.
    6. Johri, Alok, 2001. "Markups and the Seasonal Cycle," Journal of Macroeconomics, Elsevier, vol. 23(3), pages 367-395, July.
    7. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.
    8. Konopczak, Karolina, 2019. "Modelling cyclical variation in the cost pass-through: evidence from regime-dependent ARDL model," MF Working Papers 36, Ministry of Finance in Poland.
    9. Andrea Vaona, 2016. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins in the fourth Kondratieff wave," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 155-170, August.
    10. Chaim Fershtman & Ariel Pakes, 2000. "A Dynamic Oligopoly with Collusion and Price Wars," RAND Journal of Economics, The RAND Corporation, vol. 31(2), pages 207-236, Summer.
    11. Knittel, Christopher R. & Lepore, Jason J., 2010. "Tacit collusion in the presence of cyclical demand and endogenous capacity levels," International Journal of Industrial Organization, Elsevier, vol. 28(2), pages 131-144, March.
    12. Ghosal, Vivek, 2000. "Product market competition and the industry price-cost markup fluctuations:: role of energy price and monetary changes," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 415-444, April.
    13. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March.
    14. Ghosal, Vivek & Gallo, Joseph, 2001. "The cyclical behavior of the Department of Justice's antitrust enforcement activity," International Journal of Industrial Organization, Elsevier, vol. 19(1-2), pages 27-54, January.
    15. Domenico Marchetti, 2002. "Markups and the Business Cycle: Evidence from Italian Manufacturing Branches," Open Economies Review, Springer, vol. 13(1), pages 87-103, January.
    16. Juan‐Pablo Montero & Juan Ignacio Guzman, 2010. "Output‐Expanding Collusion In The Presence Of A Competitive Fringe," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 106-126, March.
    17. Marcelo Resende & Rodrigo M. Zeidan, 2011. "Tacit Collusion under Imperfect Monitoring in the Canadian Manufacturing Industry: An Empirical Study," CESifo Working Paper Series 3623, CESifo.
    18. Fabra, Natalia & Toro, Juan, 2005. "Price wars and collusion in the Spanish electricity market," International Journal of Industrial Organization, Elsevier, vol. 23(3-4), pages 155-181, April.
    19. Mikael Juselius & Moshe Kim & Staffan Ringbom, 2015. "Do markup dynamics reflect fundamentals or changes in conduct?," Empirical Economics, Springer, vol. 48(3), pages 1119-1147, May.
    20. Luis Orea & Jevgenijs Steinbuks, 2018. "Estimating Market Power In Homogenous Product Markets Using A Composed Error Model: Application To The California Electricity Market," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1296-1321, April.

    More about this item

    Keywords

    BUSINESS CYCLES;

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    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:att:wimass:9504. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    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: Ailsenne Sumwalt (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.