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Journal articles on the topic 'Football economics'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Logan, Jennifer, and Daniel Sutter. "Fantasy football and managerial economics." International Journal of Information and Operations Management Education 3, no. 2 (2009): 93. http://dx.doi.org/10.1504/ijiome.2009.031033.

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2

Downward, Paul. "Book Review: The Economics of Football." Journal of Sports Economics 3, no. 4 (2002): 374–77. http://dx.doi.org/10.1177/152700202237503.

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3

Sloane, Peter J. "The Economics of Professional Football Revisited." Scottish Journal of Political Economy 62, no. 1 (2015): 1–7. http://dx.doi.org/10.1111/sjpe.12063.

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4

Eker, Gulin, Hakan Berument, and Burak Dogan. "Football and Exchange Rates: Empirical Support for Behavioral Economics." Psychological Reports 101, no. 2 (2007): 643–54. http://dx.doi.org/10.2466/pr0.101.2.643-654.

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Recently, economic theory has been expanded to incorporate emotions, which have been assumed to play an important role in financial decisions. The present study illustrates this by showing a connection between the sports performance of popular national football teams (Besiktas, Fenerbahce, and Galatasaray) and performance of the Turkish economy. Specifically, a significant positive association was found between the success of three major professional Turkish football teams and the exchange rate of the Turkish lira against the U.S. dollar. The effect of the football success of several Turkish f

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5

Kesenne, Stefan. "Belgian Football." Journal of Sports Economics 8, no. 6 (2007): 670–74. http://dx.doi.org/10.1177/1527002506297023.

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6

LeFeuvre, Allie D., E. Frank Stephenson, and Sara M. Walcott. "Football Frenzy." Journal of Sports Economics 14, no. 4 (2013): 440–48. http://dx.doi.org/10.1177/1527002513496012.

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7

Torgler, Benno. "The Economics of the FIFA Football Worldcup." Kyklos 57, no. 2 (2004): 287–300. http://dx.doi.org/10.1111/j.0023-5962.2004.00255.x.

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8

Gratton, Chris. "The peculiar economics of english professional football." Soccer & Society 1, no. 1 (2000): 11–28. http://dx.doi.org/10.1080/14660970008721245.

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9

Falls, Gregory A., and Paul A. Natke. "College football attendance: a panel study of the Football Bowl Subdivision." Applied Economics 46, no. 10 (2014): 1093–107. http://dx.doi.org/10.1080/00036846.2013.866208.

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10

Afthinos, Ioannis, Vasileios Manasis, and Thodoros-Panagiotis Chrysanthopoulos. "Serious Game Top Eleven as an Educational Tool in Sports Economics." International Journal of Serious Games 8, no. 2 (2021): 3–19. http://dx.doi.org/10.17083/ijsg.v8i2.420.

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The aim of the present study is to explore the use of the serious game Top Eleven as an auxiliary educational tool in a sports economics undergraduate course. This attempt is warranted by the fact that serious games can provide real life/work experiences and set the ground for managerial – economics skills development. The selection of the specific serious game is based on the ample and varied sports economics data provided and its free of charge online accessibility. Following the case study methodology, a virtual football club was created and managed within Top Eleven. The stated research qu

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11

Segura, Jerome, and Jonathan Willner. "The Game Is Good at the Top." Journal of Sports Economics 19, no. 5 (2016): 645–76. http://dx.doi.org/10.1177/1527002516673407.

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Collegiate football may provide advertising for universities, attracting larger pools of applicants and leading to more academically qualified student bodies. Football may also build school spirit, reducing attrition and improving long-run graduation rates. This analysis uses data from 2001 to 2004 for available National Collegiate Athletic Association Division-1 institutions to examine the advertising and effectiveness effects of football. Using both general linear model and linear-in-means model estimation procedures, we find strong advertising and effectiveness effects for football in the f

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12

Baade, Robert A., Robert W. Baumann, and Victor A. Matheson. "Assessing the Economic Impact of College Football Games on Local Economies." Journal of Sports Economics 9, no. 6 (2008): 628–43. http://dx.doi.org/10.1177/1527002508318363.

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13

Van Reeth, Daam, and Nikita Osokin. "The Impact of Hosting the 2018 FIFA World Cup on Differences in TV Viewership Between Seasoned Football Fans and Occasional Watchers of Football Games in Russia." Journal of Sports Economics 21, no. 3 (2019): 256–80. http://dx.doi.org/10.1177/1527002519885421.

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This article explores Russian TV viewership for football games at seven international football tournaments from 2006 to 2018. The research goal is 2-fold. First, we identify the determinants of Russian viewership for football mega-events. We focus on patriotism effects, and we check for any hosting impact of the 2018 FIFA World Cup in Russia. Second, we analyze how these determinants differ in explaining two distinct TV metrics: Audience Size and Reach. Results indicate that the metrics are partially driven by different determinants which can be linked to two types of viewers: seasoned footbal

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14

Manoli, Argyro Elisavet, Georgios A. Antonopoulos, and Michael Levi. "Football clubs and financial crimes in Greece." Journal of Financial Crime 23, no. 3 (2016): 559–73. http://dx.doi.org/10.1108/jfc-06-2015-0030.

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Purpose The purpose of the current article is to provide an account of the financial crimes that are committed within the football clubs in Greece. Design/methodology/approach First, ethnographic research with two football clubs in Greece was conducted. Additional information on the issues at stake was obtained through interviews with informed actors from the realm of Greek football. Moreover, the telephone conversations that were available as the result of wiretapping by the Greek National Intelligence Agency, in relation to the latest football match-fixing scandal (2011) were used. Finally,

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15

Kalist, David E., and Daniel Y. Lee. "The National Football League." Journal of Sports Economics 17, no. 8 (2016): 863–82. http://dx.doi.org/10.1177/1527002514554953.

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This article investigates the effects of National Football League (NFL) games on crime. Using a panel data set that includes daily crime incidences in eight large cities with NFL teams, we examine how various measurements of criminal activities change on game day compared with nongame days. Our findings from both ordinary least squares and negative binomial regressions indicate that NFL home games are associated with a 2.6% increase in total crimes, while financially motivated crimes such as larceny and motor vehicle theft increase by 4.1% and 6.7%, respectively, on game days. However, we obse

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16

Chastain, Aaron J., Stephan F. Gohmann, and E. Frank Stephenson. "Beer Availability and College Football Attendance." Journal of Sports Economics 18, no. 6 (2015): 592–600. http://dx.doi.org/10.1177/1527002515589351.

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We examine the relationship between beer being sold at college football stadiums and both attendance and football revenue for 29 mid-major universities over the 2005-2012 period. Using both ordinary least squares and instrumental variable estimation, no evidence that beer availability increases attendance or football revenue is found.

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17

EKER, GULIN. "FOOTBALL AND EXCHANGE RATES: EMPIRICAL SUPPORT FOR BEHAVIORAL ECONOMICS." Psychological Reports 101, no. 6 (2007): 643. http://dx.doi.org/10.2466/pr0.101.6.643-654.

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18

Kesenne, Stefan. "THE PECULIAR INTERNATIONAL ECONOMICS OF PROFESSIONAL FOOTBALL IN EUROPE." Scottish Journal of Political Economy 54, no. 3 (2007): 388–99. http://dx.doi.org/10.1111/j.1467-9485.2007.00421.x.

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19

García, Jaume, Plácido Rodríguez, and Federico Todeschini. "The Demand for the Characteristics of Football Matches: A Hedonic Price Approach." Journal of Sports Economics 21, no. 7 (2020): 688–704. http://dx.doi.org/10.1177/1527002520930252.

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We estimate a system of demand equations for three aggregate characteristics of a football game—quality of the teams, outcome uncertainty, and schedule—based on the estimation of a hedonic price model for the ticket price of a football match using data from the Spanish football league. We conclude that all three characteristics are not inferior goods (quality as a luxury), and they are price inelastic, showing some degree of complementarity. Some implications of these results in terms of the measures taken and to be taken by the Spanish association of football clubs (LaLiga) are discussed.

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20

Karak, Anirban. "Accumulation by Dispossession: A Marxist History of the Formation of the English Premier League." Review of Radical Political Economics 49, no. 4 (2016): 615–32. http://dx.doi.org/10.1177/0486613416635039.

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The decade of the 1980s witnessed massive changes in the internal structure and functioning of English football.1 Several rules, instituted during the infancy of the professional game to limit profit-making, were overturned with remarkable rapidity within the space of a few years, culminating in the formation of the English Premier League (EPL) in 1992. In this paper, I engage with two questions. One, why and how was the century-old structure of English football so rapidly transformed and what were the consequences? Two, what sort of Marxian theoretical framework can we use to understand the h

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21

Hoffmann, Robert, Lee Chew Ging, Victor Matheson, and Bala Ramasamy. "International women's football and gender inequality." Applied Economics Letters 13, no. 15 (2006): 999–1001. http://dx.doi.org/10.1080/13504850500425774.

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22

Segura, Jerome, and Jonathan Willner. "Athleticism in NCAA D-III: It Ain’t Only Football That Matters." Journal of Sports Economics 20, no. 7 (2019): 929–58. http://dx.doi.org/10.1177/1527002519832070.

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Most D-III universities field a football team, yet little is known about how a football program can influence the quality of the student body or rate at which students graduate. To evaluate these advertising and effectiveness effects of football, we build balanced panel data sets using available private D-III universities (80–90% of all D-III universities) from 2003 through 2010. We also account for overall athletic participation. Using generalized linear model (GLM) and linear-in-means estimation procedures, we find conditional evidence of the advertising and effectiveness hypotheses of footb

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23

Solberg, Harry Arne, and Randi Hammervold. "TV Sports Viewers – Who Are They?" Nordicom Review 29, no. 1 (2008): 95–110. http://dx.doi.org/10.1515/nor-2017-0164.

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AbstractThis article reports on empirical data from Norway which indicates that popular sports contests are also popular TV programmes. Individual sports, such as biathlon and cross-country skiing headed the popularity list, while football and ski-jumping came joint third. However, although football (only) came third, a higher proportion of football fans were willing to pay for watching it on TV than fans of other sports. This can explain why football has been the most successful sport pay-TV in Europe. Those interested in football were more interested in cultivating their favourite teams/athl

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24

Reade, J. James. "Modelling and forecasting football attendances." Oxonomics 2, no. 1-2 (2007): 27–32. http://dx.doi.org/10.1111/j.1752-5209.2007.00015.x.

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25

Rees, Daniel I., and Kevin T. Schnepel. "College Football Games and Crime." Journal of Sports Economics 10, no. 1 (2009): 68–87. http://dx.doi.org/10.1177/1527002508327389.

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26

Pitts, Joshua D., and Jon Paul Rezek. "Athletic Scholarships in Intercollegiate Football." Journal of Sports Economics 13, no. 5 (2011): 515–35. http://dx.doi.org/10.1177/1527002511409239.

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Despite the financial and cultural importance of intercollegiate athletics in the United States, there is a paucity of research into how athletic scholarships are awarded. In this article, the authors empirically examine the factors that universities use in their decision to offer athletic scholarships to high school football players. Using a Zero-Inflated Negative Binomial (ZINB) model, the authors find a player’s weight, height, body mass index (BMI), race, speed, on-the-field performance, and his high school team’s success often have large and significant impacts on the number of scholarshi

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27

Schreyer, Dominik, Sascha L. Schmidt, and Benno Torgler. "Football Spectator No-Show Behavior." Journal of Sports Economics 20, no. 4 (2018): 580–602. http://dx.doi.org/10.1177/1527002518784120.

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In this article, we aim to contribute to the ever-growing economic literature on the determinants of football stadium attendance by exploring the increasingly important yet underresearched phenomenon of spectator no-show behavior. More specifically, we analyze a panel data set containing unique information on no-show behavior observed in the stadiums of 25 Bundesliga and Bundesliga 2 clubs. Our results suggest that no-show behavior is primarily shaped by explanatory factors related to a football games’ quality aspects (e.g., an appearance by superstars, an away team rich in tradition, and geog

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28

Bergman, Stephen A., and Trevon D. Logan. "Revenue per Quality of College Football Recruit." Journal of Sports Economics 21, no. 6 (2020): 571–92. http://dx.doi.org/10.1177/1527002520921223.

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There is significant debate about compensation of college athletes in revenue generating sports. In college football, the potential heterogeneity in player value has received little attention in the discussion. The relationship between player quality, team performance, and sport-specific revenue should inform any compensation scheme for college football players. In this article, we provide estimates of player monetary value in college football. This is the first study to exploit player-specific ex ante recruit ratings, team performance, and football-specific revenue and profit (revenue net of

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29

García, Jaume, and Plácido Rodríguez. "The Determinants of Football Match Attendance Revisited: Empirical Evidence From the Spanish Football League." Journal of Sports Economics 3, no. 1 (2002): 18–38. http://dx.doi.org/10.1177/1527002502003001003.

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30

Kocher, Martin G., and Matthias Sutter. "Introduction to special issue “The Economics and Psychology of Football”." Journal of Economic Psychology 31, no. 2 (2010): 155–57. http://dx.doi.org/10.1016/j.joep.2010.03.010.

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31

Larkin, Ben, Brendan Dwyer, and Chad Goebert. "Man or Machine: Fantasy Football and Dehumanization of Professional Athletes." Journal of Sport Management 34, no. 5 (2020): 403–16. http://dx.doi.org/10.1123/jsm.2019-0106.

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Fantasy sport has seen substantial growth over the last several decades, provoking research on how participation impacts the perceptions of teams and players. Following research in the field of economics, which has found that contexts promoting the assignment of economic value to humans result in dehumanization, the authors explored the dehumanization of professional athletes among fantasy football participants. Specifically, given that fantasy football requires participants to view players in terms of value in drafts, trades, and waiver claims, this should theoretically force participants to

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32

Feess, Eberhard, and Gerd Muehlheusser. "Transfer fee regulations in European football." European Economic Review 47, no. 4 (2003): 645–68. http://dx.doi.org/10.1016/s0014-2921(02)00308-2.

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33

Vamplew, Wray, and Nicholas Fishwick. "English Football and Society, 1910-1950." Economic History Review 43, no. 1 (1990): 147. http://dx.doi.org/10.2307/2596529.

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34

Brook, Stacey L. "A Comparison of NCAA FBS Head Coaches Salary Determination From New and Modified Contracts." Journal of Sports Economics 22, no. 5 (2021): 491–513. http://dx.doi.org/10.1177/1527002520988336.

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Previous research examines head football coaches’ salary only using aggregate athletic department revenues. Using detailed football program fixed and variable revenues provided in the NCAA Membership Financial Reporting System data, head football coaches signing either new and modified contracts are able to capture both variable and fixed revenues when negotiating salaries. Additionally, for the two other labor groups (student athletes and assistant head coaches), assistant head coaches salary is positive and statistically significant with respect to head coaches’ salary, while student athlete

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35

Sulistiyono, Sulistiyono, Sugiyanto Sugiyanto, Agus Kristiyanto, et al. "The Impact of Long-Term Athlete Development-Based Exercise Towards Physical Ability and Academic Achievement." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 18 (July 7, 2021): 1073–83. http://dx.doi.org/10.37394/23207.2021.18.101.

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High training intensity, volume, and academic demands have negatively affected young athletes' academic achievements. This study is written to determine the differences in the effects of long-term athlete development-based football training on football players' physical abilities and academic achievements aged 10 and 12 years. Forty-four young football players were involved in this study divided into two age groups of 10 (n = 21) and 12 (n = 23). Before and after the six-month and one-year treatment, physical abilities, consisting of 30 m sprint ability and leg muscle explosive power, were mea

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36

Barros, C. P., and G. Rossi. "A Bayesian stochastic frontier of Italian football." Applied Economics 46, no. 20 (2014): 2398–407. http://dx.doi.org/10.1080/00036846.2014.902023.

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37

Ribeiro, António S., and Francisco Lima. "Portuguese football league efficiency and players' wages." Applied Economics Letters 19, no. 6 (2012): 599–602. http://dx.doi.org/10.1080/13504851.2011.591719.

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38

Butler, David, Robert Butler, Justin Doran, and Sean O’Connor. "Explaining international footballer selection through Poisson modelling." Journal of Economic Studies 45, no. 2 (2018): 296–306. http://dx.doi.org/10.1108/jes-10-2016-0194.

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Purpose Growing evidence suggests regional economic factors impact on individual outcomes, such as life expectancy and well-being. The purpose of this paper is to investigate the impact that player-specific and regional differences have on the number of senior international appearances football players accumulate over the course of their careers, for six UEFA member countries, from 1993 to 2014. Design/methodology/approach The research employs a Poisson regression model to analyse the impact of individual and regional factors on the number of senior international caps a footballer receives ove

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39

Evans, Brent A., and Joshua D. Pitts. "Cross-Sport Recruiting Effects in NCAA D1 Football and Basketball." Journal of Sports Economics 19, no. 6 (2017): 820–42. http://dx.doi.org/10.1177/1527002516684171.

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Using an extensive data set, we conduct an academic study of the determinants of recruiting success in Division 1 basketball and football. Among many findings, we show that football recruiting is correlated with on-court basketball success, although the relationship is not always positive. However, we do not find any evidence supporting the oft-held claim that on-field football success aids in basketball recruiting. Additionally, our models indicate that recruiting effects differ between “power” and “mid-major” conferences. These findings, among others provided herein, should enhance the liter

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40

Minquet, Jean Paul-Louis. "Sports, football et finance." Revue française de gestion 30, no. 150 (2004): 141–60. http://dx.doi.org/10.3166/rfg.150.141-160.

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41

Preston, Ian, and Stefan Szymanski. "Racial Discrimination in English football." Scottish Journal of Political Economy 47, no. 4 (2000): 342–63. http://dx.doi.org/10.1111/1467-9485.00168.

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42

Carmichael, Fiona, Dennis Thomas, and Robert Ward. "Production and Efficiency in Association Football." Journal of Sports Economics 2, no. 3 (2001): 228–43. http://dx.doi.org/10.1177/152700250100200303.

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43

Lago, Umberto, Rob Simmons, and Stefan Szymanski. "The Financial Crisis in European Football." Journal of Sports Economics 7, no. 1 (2006): 3–12. http://dx.doi.org/10.1177/1527002505282871.

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44

Martins, António Miguel, and Susana Cró. "The Demand for Football in Portugal." Journal of Sports Economics 19, no. 4 (2016): 473–97. http://dx.doi.org/10.1177/1527002516661602.

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The aim of this study is to identify variables that influence the stadium attendance in Portugal, and how these variables may affect decision management. Deriving a demand curve for stadium attendance in the Portuguese First Division Football League for 898 matches of five seasons (2010/2011-2014/2015), the results highlight five main explicative variables: cost, habit persistence, expected quality, team performance, and outcome uncertainty. With regard to outcome uncertainty, we employ the framework proposed by Humphreys and Zhou and we conclude for the importance of alternative factors affec

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45

Amato, Louis H., John M. Gandar, and Richard A. Zuber. "The Impact of Proposition 48 on the Relationship Between Football Success and Football Player Graduation Rates." Journal of Sports Economics 2, no. 2 (2001): 101–12. http://dx.doi.org/10.1177/152700250100200201.

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46

Emrich, Eike, Christian Pierdzioch, and Christian Rullang. "For the love of football?" Sport und Gesellschaft 14, no. 2 (2017): 107–31. http://dx.doi.org/10.1515/sug-2017-0010.

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SummaryUsing data for a large sample of German football referees, we studied the motives for becoming a football referee. Based on a long modelling tradition in the literature on the economics of volunteering, we studied altruistic motives (public-goods model) versus non-altruistic (egoistic private-consumption and human-capital) motives. We differentiated between self-attributed and other-attributed motives. We found that altruistic motives on average are less strong than other motives. Other-attributed altruistic motives are stronger than self-attributed altruistic motives, indicating the pr

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47

Torgler, Benno, and Sascha L. Schmidt. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football." German Economic Review 19, no. 2 (2018): 140–61. http://dx.doi.org/10.1111/geer.12120.

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Abstract Despite its prominence in the economic literature, our knowledge regarding the role of game outcome uncertainty (GOU) in spectator decision-making is fairly limited. Even worse, studies testing the uncertainty of outcome hypothesis (UOH) by exploring TV demand for European football have further intensified the original ambiguity. In this paper, we revisit the role of GOU in spectator decision-making by testing the UOH with regard to two different sporting products: (1) domestic league and (2) knockout tournament games. Analyzing TV demand for almost 1,500 German football games, we fin

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48

Vamplew, Wray, and Stephen Wagg. "The Football World: A Contemporary Social History." Economic History Review 40, no. 2 (1987): 314. http://dx.doi.org/10.2307/2596712.

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49

Van Klaveren, Chris, and Kristof De Witte. "Football to improve math and reading performance." Education Economics 23, no. 5 (2014): 577–95. http://dx.doi.org/10.1080/09645292.2014.882293.

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50

Hickman, Kent A., Stuart M. Cooper, and Sam Agyei-Ampomah. "Estimating the value of victory: English football." Applied Financial Economics Letters 4, no. 4 (2008): 299–302. http://dx.doi.org/10.1080/17446540701720576.

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