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Applied Economics Volume 38, 2006 - Issue 3
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Original Articles

Testing the efficiency of the National Football League betting market

Bryan L. Boulier Department of Economics, The George Washington University, Washington, DC 20052, USACorrespondence[email protected]
,
H. O. Stekler Department of Economics, The George Washington University, Washington, DC 20052, USA
&
Sarah Amundson Department of Economics, The George Washington University, Washington, DC 20052, USA
Pages 279-284 | Published online: 19 Aug 2006

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Dimitris Anastasiou, Khudoykulov Khurshid Khurramovich & Christos Kallandranis. (2023) Senior bank loan officers’ expectations for loan demand: A note. Cogent Business & Management 10:1.
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Justin L. Davis & Kevin Krieger. (2017) Preseason bias in the NFL and NBA betting markets. Applied Economics 49:12, pages 1204-1212.
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N. Winchester & R. T. Stefani. (2013) An innovative approach to National Football League standings using bonus points. Applied Economics 45:1, pages 123-134.
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Johnnie Johnson, Alistair Bruce & Jiejun Yu. (2010) The ordinal efficiency of betting markets: an exploded logit approach. Applied Economics 42:29, pages 3703-3709.
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Steven B. Caudill. (2009) OSU and LSU: easy to spell but did they belong? Using the method of paired comparisons to evaluate the BCS rankings and the NCAA football championship game 2007–08. Applied Economics 41:25, pages 3225-3230.
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Richard Borghesi. (2008) Weather biases in the NFL totals market. Applied Financial Economics 18:12, pages 947-953.
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Konstantinos Drakos. (2008) Efficiency and formation of expectations: evidence from the European investment survey. Applied Economics 40:8, pages 1015-1022.
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Articles from other publishers (16)

Benjamin S. Baumer, Gregory J. Matthews & Quang Nguyen. (2023) Big ideas in sports analytics and statistical tools for their investigation. WIREs Computational Statistics 15:6.
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Jonas Vandenbruaene, Marc De Ceuster & Jan Annaert. (2022) Efficient Spread Betting Markets: A Literature Review. Journal of Sports Economics 23:7, pages 907-949.
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Justin Cox, Adam L. Schwartz, Bonnie F. Van Ness & Robert A. Van Ness. (2020) The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games. Journal of Sports Economics 22:3, pages 251-273.
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Steffen Keck & Wenjie Tang. (2020) Enhancing the Wisdom of the Crowd With Cognitive-Process Diversity: The Benefits of Aggregating Intuitive and Analytical Judgments. Psychological Science 31:10, pages 1272-1282.
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Michael A. Roach. (2017) Testing Labor Market Efficiency Across Position Groups in the NFL. Journal of Sports Economics 19:8, pages 1093-1121.
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Gary SmithAndrew Capron. (2018) Overreaction in Football Wagers. Big Data 6:4, pages 262-270.
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Eberhard Feess, Helge Müller & Christoph Schumacher. (2016) Estimating risk preferences of bettors with different bet sizes. European Journal of Operational Research 249:3, pages 1102-1112.
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Thomas W. MillerJr.Jr. & David E. Rapach. (2013) An intra-week efficiency analysis of bookie-quoted NFL betting lines in NYC. Journal of Empirical Finance 24, pages 10-23.
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Rodney Paul, Robert Simmons & Andrew Weinbach. 2012. The Economics of the National Football League. The Economics of the National Football League 225 242 .
Stefan M. Herzog & Ralph Hertwig. (2023) The wisdom of ignorant crowds: Predicting sport outcomes by mere recognition. Judgment and Decision Making 6:1, pages 58-72.
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Lars Magnus Hvattum & Halvard Arntzen. (2010) Using ELO ratings for match result prediction in association football. International Journal of Forecasting 26:3, pages 460-470.
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Martin Spann & Bernd Skiera. (2008) Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters. Journal of Forecasting 28:1, pages 55-72.
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Feng Zhou & Philip F. O'Connor. (2007) Trading the Tradesports NFL Market: An Analysis of Liquidity and Pricing Efficiency. SSRN Electronic Journal.
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Steffen Keck & Wenjie Tang. (2019) Enhancing the Wisdom of the Crowd With Cognitive Process Diversity: The Benefits of Aggregating Intuitive and Analytical Judgments. SSRN Electronic Journal.
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Bryan C. McCannon. (2013) Replacement Referees and NFL Betting Markets. SSRN Electronic Journal.
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Bryan C. McCannon, Kevin O’Laughlin & Zachary Scott. (2012) The Disincentive of Salary Increases: Evidence from NFL Quarterback Performances. SSRN Electronic Journal.
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