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The Strategic Timing Incentives of Commercial Radio Stations: An Empirical Analysis Using Multiple Equilibria

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  • Andrew Sweeting

Abstract

Commercial radio stations and advertisers have potentially conflicting interests about when commercial breaks should be played. This paper estimates an incomplete information timing game to examine stations' equilibrium timing incentives. It shows how identification can be aided by the existence of multiple equilibria when appropriate data are available. It finds that stations want to play their commercials at the same time, suggesting that mechanisms exist which align the incentives of stations with the interests of advertisers. It also shows that coordination incentives are much stronger during drivetime hours, when more listeners switch stations, and in smaller markets.

Suggested Citation

  • Andrew Sweeting, 2008. "The Strategic Timing Incentives of Commercial Radio Stations: An Empirical Analysis Using Multiple Equilibria," NBER Working Papers 14506, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14506
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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Bajari, Patrick & Hong, Han & Krainer, John & Nekipelov, Denis, 2010. "Estimating Static Models of Strategic Interactions," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 469-482.
    3. Federico Ciliberto & Elie Tamer, 2009. "Market Structure and Multiple Equilibria in Airline Markets," Econometrica, Econometric Society, vol. 77(6), pages 1791-1828, November.
    4. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    5. Andrew Sweeting, 2006. "Coordination, Differentiation, and the Timing of Radio Commercials," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(4), pages 909-942, December.
    6. A. Pakes & J. Porter & Kate Ho & Joy Ishii, 2015. "Moment Inequalities and Their Application," Econometrica, Econometric Society, vol. 83, pages 315-334, January.
    7. Rysman, Marc & Greenstein, Shane, 2005. "Testing for agglomeration and dispersion," Economics Letters, Elsevier, vol. 86(3), pages 405-411, March.
    8. Patrick Bajari & Han Hong & Stephen P. Ryan, 2010. "Identification and Estimation of a Discrete Game of Complete Information," Econometrica, Econometric Society, vol. 78(5), pages 1529-1568, September.
    9. Gil S. Epstein, 1998. "Network Competition and the Timing of Commercials," Management Science, INFORMS, vol. 44(3), pages 370-387, March.
    10. Paul B. Ellickson & Sanjog Misra, 2008. "Supermarket Pricing Strategies," Marketing Science, INFORMS, vol. 27(5), pages 811-828, 09-10.
    11. Angelique Augereau & Shane Greenstein & Marc Rysman, 2006. "Coordination versus differentiation in a standards war: 56K modems," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 887-909, December.
    12. Daniel A. Ackerberg & Gautam Gowrisankaran, 2006. "Quantifying equilibrium network externalities in the ACH banking industry," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 738-761, September.
    13. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 147-165.
    14. Hanfeng Chen & Jiahua Chen & John D. Kalbfleisch, 2004. "Testing for a finite mixture model with two components," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(1), pages 95-115, February.
    15. Brock,W.A. & Durlauf,S.N., 2003. "Multinomial choice with social interactions," Working papers 1, Wisconsin Madison - Social Systems.
    16. Daniel Ackerberg & Gautam Gowrisankaran, 2006. "Quantifying Equilibrium Network Externalities in the ACH Banking Industry," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 738-761, Autumn.
    17. Bresnahan, Timothy F & Reiss, Peter C, 1991. "Entry and Competition in Concentrated Markets," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 977-1009, October.
    18. Hanfeng Chen & Jiahua Chen & John D. Kalbfleisch, 2001. "A modified likelihood ratio test for homogeneity in finite mixture models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(1), pages 19-29.
    19. Victor Aguirregabiria & Pedro Mira, 2007. "Sequential Estimation of Dynamic Discrete Games," Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
    20. Katja Seim Author-Email: kseim@wharton.upenn.edu Author-Workplace-Name: University of Pennsylvania, 2006. "An Empirical Model of Firm Entry with Endogenous Product-type Choices," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 619-640, Autumn.
    21. Martin Pesendorfer & Philipp Schmidt-Dengler, 2008. "Asymptotic Least Squares Estimators for Dynamic Games -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 901-928.
    22. Katja Seim, 2006. "An empirical model of firm entry with endogenous product‐type choices," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 619-640, September.
    23. Bresnahan, Timothy F. & Reiss, Peter C., 1991. "Empirical models of discrete games," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 57-81.
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    More about this item

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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