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J James Reade

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Mark Koyama & J. James Reade, 2009. "Playing Like the Home Team: An Economic Investigation into Home Advantage in Football," International Journal of Sport Finance, Fitness Information Technology, vol. 4(1), pages 16-41, February.

    Mentioned in:

    1. The Role of Supporters
      by jamesreade in International Journal of Sport Finance Blog on 2011-12-23 08:50:53
  2. Reade, J. James & Volz, Ulrich, 2010. "Chinese monetary policy and the dollar peg," Discussion Papers 2010/35, Free University Berlin, School of Business & Economics.

    Mentioned in:

    1. Chinese inflation, monetary policy and the dollar peg
      by Guest Author in credit writedowns on 2011-02-18 19:20:00
    2. China und die G20
      by Ulrich Volz in Ökonomenstimme on 2011-03-08 18:00:00

Working papers

  1. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.

    Cited by:

    1. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.

  2. Brad Humphreys & J. James Reade & Dominik Schreyer & Carl Singleton, 2022. "Separating the crowds: Examining home and away attendances at football matches," Economics Discussion Papers em-dp2022-11, Department of Economics, University of Reading.

    Cited by:

    1. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.

  3. Pedro Garcia-del-Bario & J. James Reade, 2021. "Does Certainty on the Winner Diminish the Interest in Sport Competitions? The Case of Formula One," Economics Discussion Papers em-dp2021-18, Department of Economics, University of Reading.

    Cited by:

    1. László Csató, 2023. "A comparative study of scoring systems by simulations," Journal of Sports Economics, , vol. 24(4), pages 526-545, May.
    2. Pedro Garcia-del-Barrio & J. James Reade, 2023. "The Impact of Uncertainty on Fan Interest Surrounding Multiple Outcomes in Open European Football Leagues," Economics Discussion Papers em-dp2023-02, Department of Economics, University of Reading.

  4. Kai Fischer & J. James Reade & W. Benedikt Schmal, 2021. "The Long Shadow of an Infection: COVID-19 and Performance at Work," Economics Discussion Papers em-dp2021-17, Department of Economics, University of Reading.

    Cited by:

    1. Dasom I. Ham, 2022. "Long-Haulers and Labor Market Outcomes," Opportunity and Inclusive Growth Institute Working Papers 060, Federal Reserve Bank of Minneapolis.
    2. Gopi Shah Goda & Evan J. Soltas, 2022. "The Impacts of Covid-19 Illnesses on Workers," NBER Working Papers 30435, National Bureau of Economic Research, Inc.
    3. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    4. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    5. Yousef Abu Nahleh & Budur Al Ali & Hind Al Ali & Shouq Alzarooni & Shaikha Almulla & Fatima Alteneiji, 2023. "The Impact of COVID-19 on Supply Chain in UAE Food Sector," Sustainability, MDPI, vol. 15(11), pages 1-21, May.

  5. Carl Singleton & J. James Reade & Dominik Schreyer, 2021. "A decade of violence and empty stadiums in Egypt: When does emotion from the terraces affect behaviour on the pitch?," Economics Discussion Papers em-dp2021-21, Department of Economics, University of Reading, revised 24 Jan 2023.

    Cited by:

    1. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.
    2. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2023. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Papers 2308.06279, arXiv.org, revised Nov 2023.
    3. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    4. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    5. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.

  6. Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer & Carl Singleton, 2021. "What we can learn about economics from professional sport during Covid-19," National Institute of Economic and Social Research (NIESR) Discussion Papers 525, National Institute of Economic and Social Research.

    Cited by:

    1. Brad R. Humphreys & Gary A. Wagner & John C. Whitehead & Pamela Wicker, "undated". "Willingness to pay for COVID-19 environmental health risk reductions in consumption: Evidence from U.S. professional sports," Working Papers 21-05, Department of Economics, Appalachian State University.
    2. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    3. Themis Kokolakakis & Fernando Lera-Lopez & Girish Ramchandani, 2021. "Measuring the Economic Impact of COVID-19 on the UK’s Leisure and Sport during the 2020 Lockdown," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    4. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.

  7. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.

    Cited by:

    1. Asmat, Roberto & Borowiecki, Karol J. & Law, Marc T., 2023. "Do experts and laypersons differ? Some evidence from international classical music competitions," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 270-290.
    2. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.

  8. Dmitry Dagaev & Sofia Paklina & J. James Reade & Carl Singleton, 2021. "The Iron Curtain and Referee Bias in International Football," Economics Discussion Papers em-dp2021-14, Department of Economics, University of Reading, revised 26 Apr 2023.

    Cited by:

    1. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.

  9. Philip Ramirez & J. James Reade & Carl Singleton, 2021. "Betting on a buzz, mispricing and inefficiency in online sportsbooks," Economics Discussion Papers em-dp2021-10, Department of Economics, University of Reading, revised 27 Jul 2022.

    Cited by:

    1. Ruud H. Koning & Renske Zijm, 2023. "Betting market efficiency and prediction in binary choice models," Annals of Operations Research, Springer, vol. 325(1), pages 135-148, June.
    2. Lawrence Clegg & John Cartlidge, 2023. "Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks," Papers 2306.01740, arXiv.org, revised Jan 2024.

  10. Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," National Institute of Economic and Social Research (NIESR) Discussion Papers 524, National Institute of Economic and Social Research.

    Cited by:

    1. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).
    2. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.
    3. Luke S. Benz & Michael J. Lopez, 2023. "Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 205-232, March.
    4. Dominik Schreyer & Benno Torgler, 2021. "Football spectator no-show behavior in Switzerland: Empirical evidence from season ticket holder behavior," CREMA Working Paper Series 2021-06, Center for Research in Economics, Management and the Arts (CREMA).
    5. Brad R. Humphreys & Alexander Marsella & Levi Perez, 2022. "The effect of monitoring and crowds on crime and law enforcement: A natural experiment from European football," Working Papers 22-08, Department of Economics, West Virginia University.
    6. Jean-Marc Bourgeon & José De Sousa & Alexis Noir-Luhalwe, 2022. "Social Distancing and Risk Taking: Evidence from a Team Game Show," CESifo Working Paper Series 10063, CESifo.
    7. Ulrike Holder & Thomas Ehrmann & Arne König, 2022. "Monitoring experts: insights from the introduction of video assistant referee (VAR) in elite football," Journal of Business Economics, Springer, vol. 92(2), pages 285-308, February.
    8. Kai Fischer & J. James Reade & W. Benedikt Schmal, 2021. "The Long Shadow of an Infection: COVID-19 and Performance at Work," Economics Discussion Papers em-dp2021-17, Department of Economics, University of Reading.
    9. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    10. Paul Bose & Eberhard Feess & Helge Mueller, 2022. "Favoritism towards High-Status Clubs: Evidence from German Soccer," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 38(2), pages 422-478.
    11. Ferraresi Massimiliano & Gucciardi Gianluca, 2023. "Team performance and the perception of being observed: Experimental evidence from top-level professional football," German Economic Review, De Gruyter, vol. 24(1), pages 1-31, February.
    12. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2021. "Home advantage and crowd attendance: Evidence from rugby during the Covid 19 pandemic," Papers 2105.01446, arXiv.org.
    13. ARAKI Shota & MORITA Hiroshi, 2021. "Social Pressure in Football Matches: An Event Study of "Remote Matches" in Japan," Discussion papers 21095, Research Institute of Economy, Trade and Industry (RIETI).
    14. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
    15. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2021. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," Economics Letters, Elsevier, vol. 198(C).
    16. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Eliminating supportive crowds reduces referee bias," Economics Discussion Papers em-dp2020-25, Department of Economics, University of Reading, revised 01 Dec 2021.
    17. Scott C Ganz & Kieran Allsop, 2024. "A Mere Fan Effect on Home-Court Advantage," Journal of Sports Economics, , vol. 25(1), pages 30-53, January.
    18. Richard Faltings & Alex Krumer & Michael Lechner, 2023. "Rot‐Jaune‐Verde: On linguistic bias of referees in Swiss soccer," Kyklos, Wiley Blackwell, vol. 76(3), pages 380-406, August.
    19. Justin Ehrlich & Joel Potter, 2023. "Estimating the effect of attendance on home advantage in the National Basketball Association," Applied Economics Letters, Taylor & Francis Journals, vol. 30(11), pages 1471-1482, June.
    20. Colella, F. & Dalton, Patricio & Giusti, G., 2021. "All you Need is Love : The Effect of Moral Support on Performance (Revision of CentER DP 2018-026)," Discussion Paper 2021-005, Tilburg University, Center for Economic Research.
    21. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    22. Fabio Richlan & J. Lukas Thürmer & Jeremias Braid & Patrick Kastner & Michael Christian Leitner, 2023. "Subjective experience, self-efficacy, and motivation of professional football referees during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    23. Stuart Baumann & Carl Singleton, 2024. "They were robbed! Scoring by the middlemost to attenuate biased judging in boxing," Papers 2402.06594, arXiv.org.
    24. Brad Humphreys & J. James Reade & Dominik Schreyer & Carl Singleton, 2022. "Separating the crowds: Examining home and away attendances at football matches," Economics Discussion Papers em-dp2022-11, Department of Economics, University of Reading.
    25. Mauro Caselli & Paolo Falco, 2021. "When the Mob Goes Silent: Uncovering the Effects of Racial Harassment through a Natural Experiment," DEM Working Papers 2021/01, Department of Economics and Management.
    26. Kai Fischer & Justus Haucap, 2021. "Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic," Journal of Sports Economics, , vol. 22(8), pages 982-1008, December.
    27. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2023. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Papers 2308.06279, arXiv.org, revised Nov 2023.
    28. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2020. "Using reminders with different reward opportunities to reduce no-show behavior: Empirical evidence from a large-scale field experiment in professional sport," CREMA Working Paper Series 2020-19, Center for Research in Economics, Management and the Arts (CREMA).
    29. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    30. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    31. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    32. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus," Economics Discussion Papers em-dp2020-20, Department of Economics, University of Reading.
    33. Scoppa, Vincenzo, 2021. "Social pressure in the stadiums: Do agents change behavior without crowd support?," Journal of Economic Psychology, Elsevier, vol. 82(C).
    34. Dmitry Dagaev & Sofia Paklina & J. James Reade & Carl Singleton, 2024. "The Iron Curtain and Referee Bias in International Football," Journal of Sports Economics, , vol. 25(1), pages 126-151, January.
    35. Ferraresi, Massimiliano & Gucciardi, Gianluca, 2021. "Who chokes on a penalty kick? Social environment and individual performance during Covid-19 times," Economics Letters, Elsevier, vol. 203(C).
    36. Wen‐Jhan Jane, 2022. "Choking or excelling under pressure: Evidence of the causal effect of audience size on performance," Bulletin of Economic Research, Wiley Blackwell, vol. 74(1), pages 329-357, January.
    37. Csató, László & Bodnár, Gergely, 2023. "Mérhetnénk jobban a csapatok erejét a Bajnokok Ligájában? Fontos megjegyzés az Európai Labdarúgó-szövetség számára [How to better measure team strength in the Champions League. An important message," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 813-827.
    38. Carl Singleton & Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer, 2021. "What Can We Learn About Economics from Sport during Covid-19?," Economics Discussion Papers em-dp2021-01, Department of Economics, University of Reading.
    39. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    40. Christoph Buehren & Dominic Jung, 2022. "Performing without pressure? The effect of ghost games on effort- and skill-based tasks in the football Bundesliga," MAGKS Papers on Economics 202227, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    41. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.
    42. Sergio Destefanis & Francesco Addesa & Giambattista Rossi, 2022. "The impact of COVID-19 on home advantage: a conditional order-m analysis of football clubs’ efficiency in the top-5 European leagues," Applied Economics, Taylor & Francis Journals, vol. 54(58), pages 6639-6655, December.
    43. Dubois, Marc, 2022. "Dominance criteria on grids for measuring competitive balance in sports leagues," Mathematical Social Sciences, Elsevier, vol. 115(C), pages 1-10.
    44. D'avid Zolt'an Szab'o & Diego Andr'es P'erez, 2021. "Does home advantage without crowd exist in American football?," Papers 2104.11595, arXiv.org.
    45. L'aszl'o Csat'o, 2023. "Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula," Papers 2304.09078, arXiv.org, revised Oct 2023.
    46. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    47. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    48. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    49. Alex Farnell, 2023. "False Start? An Analysis of NFL Penalties With and Without Crowds," Journal of Sports Economics, , vol. 24(6), pages 695-716, August.
    50. Christoph Buehren & Marvin Gabriel, 2021. "Performing best when it matters the most: Evidence from professional handball," MAGKS Papers on Economics 202119, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    51. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    52. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.

  11. Matthew Olczak & J. James Reade & Matthew Yeo, 2020. "Mass Outdoor Events and the Spread of a Virus: English Football and Covid-19," Economics Discussion Papers em-dp2020-19, Department of Economics, University of Reading.

    Cited by:

    1. David Turner & Balazs Egert & Yvan Guillemette & Jamila Botev, 2021. "The Tortoise and the Hare: The Race between Vaccine Rollout and New Covid Variants," CESifo Working Paper Series 9151, CESifo.
    2. Brad R. Humphreys & Gary A. Wagner & John C. Whitehead & Pamela Wicker, "undated". "Willingness to pay for COVID-19 environmental health risk reductions in consumption: Evidence from U.S. professional sports," Working Papers 21-05, Department of Economics, Appalachian State University.
    3. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Eliminating supportive crowds reduces referee bias," Economics Discussion Papers em-dp2020-25, Department of Economics, University of Reading, revised 01 Dec 2021.
    4. Hiroaki Funahashi & Alexander Cardazzi & Nicholas Masafumi Watanabe, 2023. "Mass Gathering Sport Events and the Spread of Viral Respiratory Infection: Japanese Professional Baseball and Influenza," Journal of Sports Economics, , vol. 24(5), pages 551-578, June.
    5. Carl Singleton & Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer, 2021. "What Can We Learn About Economics from Sport during Covid-19?," Economics Discussion Papers em-dp2021-01, Department of Economics, University of Reading.
    6. Tommy Quansah & Bernd Frick & Markus Lang & Kieran Maguire, 2021. "The Importance of Club Revenues for Player Salaries and Transfer Expenses—How Does the Coronavirus Outbreak (COVID-19) Impact the English Premier League?," Sustainability, MDPI, vol. 13(9), pages 1-22, May.
    7. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    8. Vincenzo Alfano, 2022. "COVID-19 Diffusion Before Awareness: The Role of Football Match Attendance in Italy," Journal of Sports Economics, , vol. 23(5), pages 503-523, June.
    9. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.
    10. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    11. Hiroaki Funahashi & Shintaro Sato & Takuya Furukawa, 2022. "COVID-19 and Attendance Demand for Professional Sport in Japan: A Multilevel Analysis of Repeated Cross-Sectional National Data during the Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-10, April.

  12. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus," Economics Discussion Papers em-dp2020-20, Department of Economics, University of Reading.

    Cited by:

    1. Alexander Ahammer & Martin Halla & Mario Lackner, 2020. "Mass Gatherings Contributed to Early COVID-19 Mortality: Evidence from US Sports," Economics working papers 2020-13, Department of Economics, Johannes Kepler University Linz, Austria.
    2. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Eliminating supportive crowds reduces referee bias," Economics Discussion Papers em-dp2020-25, Department of Economics, University of Reading, revised 01 Dec 2021.
    3. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    4. Ana Chersulich Tomino & Marko Periæ, 2022. "Sport-Tourism Running Events in the Post-COVID-19 World: Any Sign of Change?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 15(1), pages 135-147.
    5. Carl Singleton & Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer, 2021. "What Can We Learn About Economics from Sport during Covid-19?," Economics Discussion Papers em-dp2021-01, Department of Economics, University of Reading.
    6. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    7. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    8. Vincenzo Alfano, 2022. "COVID-19 Diffusion Before Awareness: The Role of Football Match Attendance in Italy," Journal of Sports Economics, , vol. 23(5), pages 503-523, June.
    9. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.
    10. Matthew Olczak & J. James Reade & Matthew Yeo, 2020. "Mass Outdoor Events and the Spread of a Virus: English Football and Covid-19," Economics Discussion Papers em-dp2020-19, Department of Economics, University of Reading.
    11. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.
    12. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    13. Hiroaki Funahashi & Shintaro Sato & Takuya Furukawa, 2022. "COVID-19 and Attendance Demand for Professional Sport in Japan: A Multilevel Analysis of Repeated Cross-Sectional National Data during the Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-10, April.

  13. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.

    Cited by:

    1. Janczura, Joanna & Wójcik, Edyta, 2022. "Dynamic short-term risk management strategies for the choice of electricity market based on probabilistic forecasts of profit and risk measures. The German and the Polish market case study," Energy Economics, Elsevier, vol. 110(C).
    2. Joanna Janczura & Andrzej Puć, 2023. "ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation," Energies, MDPI, vol. 16(2), pages 1-28, January.
    3. Jonathan Berrisch & Florian Ziel, 2022. "Distributional modeling and forecasting of natural gas prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1065-1086, September.
    4. Heymann, Fabian & Milojevic, Tatjana & Covatariu, Andrei & Verma, Piyush, 2023. "Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options," Energy, Elsevier, vol. 262(PB).
    5. Oscar Espinosa & Valeria Bejarano & Jeferson Ramos & Boris Martínez, 2023. "Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021," Health Economics Review, Springer, vol. 13(1), pages 1-20, December.
    6. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review," Energies, MDPI, vol. 16(6), pages 1-23, March.
    7. Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
    8. Jozef Barunik & Lubos Hanus, 2023. "Learning Probability Distributions of Day-Ahead Electricity Prices," Papers 2310.02867, arXiv.org, revised Oct 2023.
    9. Xiaoqian Wang & Yanfei Kang & Rob J Hyndman & Feng Li, 2020. "Distributed ARIMA Models for Ultra-long Time Series," Monash Econometrics and Business Statistics Working Papers 29/20, Monash University, Department of Econometrics and Business Statistics.
    10. Bergsteinsson, Hjörleifur G. & Sørensen, Mikkel Lindstrøm & Møller, Jan Kloppenborg & Madsen, Henrik, 2023. "Heat load forecasting using adaptive spatial hierarchies," Applied Energy, Elsevier, vol. 350(C).
    11. Wesley Marcos Almeida & Claudimar Pereira Veiga, 2023. "Does demand forecasting matter to retailing?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 219-232, June.
    12. Elalem, Yara Kayyali & Maier, Sebastian & Seifert, Ralf W., 2023. "A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1874-1894.
    13. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    14. Silvia Golia & Luigi Grossi & Matteo Pelagatti, 2022. "Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices," Forecasting, MDPI, vol. 5(1), pages 1-21, December.
    15. Nghia Chu & Binh Dao & Nga Pham & Huy Nguyen & Hien Tran, 2022. "Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques," Papers 2209.09649, arXiv.org, revised Jul 2023.
    16. Jun Meng & Jingfang Fan & Uma S. Bhatt & Jürgen Kurths, 2023. "Arctic weather variability and connectivity," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    17. Ramos, Paulo Vitor B. & Villela, Saulo Moraes & Silva, Walquiria N. & Dias, Bruno H., 2023. "Residential energy consumption forecasting using deep learning models," Applied Energy, Elsevier, vol. 350(C).
    18. Li, Xishu & Zuidwijk, Rob & de Koster, M.B.M, 2023. "Optimal competitive capacity strategies: Evidence from the container shipping market," Omega, Elsevier, vol. 115(C).
    19. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common factors and the dynamics of cereal prices. A forecasting perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Alroomi, Azzam & Karamatzanis, Georgios & Nikolopoulos, Konstantinos & Tilba, Anna & Xiao, Shujun, 2022. "Fathoming empirical forecasting competitions’ winners," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1519-1525.
    21. Marcjasz, Grzegorz & Narajewski, Michał & Weron, Rafał & Ziel, Florian, 2023. "Distributional neural networks for electricity price forecasting," Energy Economics, Elsevier, vol. 125(C).
    22. Aitazaz Ali Raja & Pierre Pinson & Jalal Kazempour & Sergio Grammatico, 2022. "A Market for Trading Forecasts: A Wagering Mechanism," Papers 2205.02668, arXiv.org, revised Oct 2022.
    23. Qi, Lingzhi & Li, Xixi & Wang, Qiang & Jia, Suling, 2023. "fETSmcs: Feature-based ETS model component selection," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1303-1317.
    24. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    25. Guo, Su & Zheng, Kun & He, Yi & Kurban, Aynur, 2023. "The artificial intelligence-assisted short-term optimal scheduling of a cascade hydro-photovoltaic complementary system with hybrid time steps," Renewable Energy, Elsevier, vol. 202(C), pages 1169-1189.
    26. Rai, Amit & Shrivastava, Ashish & Jana, Kartick C., 2023. "Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting," Energy, Elsevier, vol. 263(PC).
    27. Tetiana Zatonatska & Olena Liashenko & Yana Fareniuk & Oleksandr Dluhopolskyi & Artur Dmowski & Marzena Cichorzewska, 2022. "The Migration Influence on the Forecasting of Health Care Budget Expenditures in the Direction of Sustainability: Case of Ukraine," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    28. Anita M. Bunea & Mariangela Guidolin & Piero Manfredi & Pompeo Della Posta, 2022. "Diffusion of Solar PV Energy in the UK: A Comparison of Sectoral Patterns," Forecasting, MDPI, vol. 4(2), pages 1-21, April.
    29. Andrea Savio & Luigi De Giovanni & Mariangela Guidolin, 2022. "Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics," Forecasting, MDPI, vol. 4(2), pages 1-18, April.
    30. Fernández, Joaquín Delgado & Menci, Sergio Potenciano & Lee, Chul Min & Rieger, Alexander & Fridgen, Gilbert, 2022. "Privacy-preserving federated learning for residential short-term load forecasting," Applied Energy, Elsevier, vol. 326(C).
    31. Emmanuel Senyo Fianu, 2022. "Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach," Forecasting, MDPI, vol. 4(2), pages 1-27, June.
    32. Ca’ Zorzi, Michele & Rubaszek, Michał, 2023. "How many fundamentals should we include in the behavioral equilibrium exchange rate model?," Economic Modelling, Elsevier, vol. 118(C).
    33. Radovan Šomplák & Veronika Smejkalová & Martin Rosecký & Lenka Szásziová & Vlastimír Nevrlý & Dušan Hrabec & Martin Pavlas, 2023. "Comprehensive Review on Waste Generation Modeling," Sustainability, MDPI, vol. 15(4), pages 1-29, February.
    34. Huang, Congzhi & Yang, Mengyuan, 2023. "Memory long and short term time series network for ultra-short-term photovoltaic power forecasting," Energy, Elsevier, vol. 279(C).
    35. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.
    36. Paul Ghelasi & Florian Ziel, 2023. "Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions," Papers 2305.16255, arXiv.org.
    37. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.
    38. Jeroen Rombouts & Marie Ternes & Ines Wilms, 2024. "Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning," Papers 2402.09033, arXiv.org.

  14. J. James Reade & Carl Singleton & Leighton Vaughan Williams, 2020. "Betting markets for English Premier League results and scorelines: evaluating a forecasting model," Economics Discussion Papers em-dp2020-03, Department of Economics, University of Reading.

    Cited by:

    1. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    2. Vaughan Williams Leighton & Liu Chunping & Dixon Lerato & Gerrard Hannah, 2021. "How well do Elo-based ratings predict professional tennis matches?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 91-105, June.
    3. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.

  15. J. James Reade, 2020. "Football Attendance Over the Centuries," Economics Discussion Papers em-dp2020-08, Department of Economics, University of Reading.

    Cited by:

    1. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.

  16. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2020. "Experimental Effects of an Absent Crowd on Performances and Refereeing Decisions during COVID-19," IZA Discussion Papers 13578, Institute of Labor Economics (IZA).

    Cited by:

    1. Luke S. Benz & Michael J. Lopez, 2023. "Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 205-232, March.
    2. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    3. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2021. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," Economics Letters, Elsevier, vol. 198(C).
    4. Kai Fischer & Justus Haucap, 2020. "Does Crowd Support Drive the Home Advantage in Professional Soccer? Evidence from German Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8549, CESifo.
    5. Mauro Caselli & Paolo Falco, 2021. "When the Mob Goes Silent: Uncovering the Effects of Racial Harassment through a Natural Experiment," DEM Working Papers 2021/01, Department of Economics and Management.
    6. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2020. "Using reminders with different reward opportunities to reduce no-show behavior: Empirical evidence from a large-scale field experiment in professional sport," CREMA Working Paper Series 2020-19, Center for Research in Economics, Management and the Arts (CREMA).
    7. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus," Economics Discussion Papers em-dp2020-20, Department of Economics, University of Reading.
    8. Scoppa, Vincenzo, 2021. "Social pressure in the stadiums: Do agents change behavior without crowd support?," Journal of Economic Psychology, Elsevier, vol. 82(C).
    9. Wen‐Jhan Jane, 2022. "Choking or excelling under pressure: Evidence of the causal effect of audience size on performance," Bulletin of Economic Research, Wiley Blackwell, vol. 74(1), pages 329-357, January.
    10. Carl Singleton & Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer, 2021. "What Can We Learn About Economics from Sport during Covid-19?," Economics Discussion Papers em-dp2021-01, Department of Economics, University of Reading.
    11. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

  17. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Echoes: what happens when football is played behind closed doors?," Economics Discussion Papers em-dp2020-14, Department of Economics, University of Reading.

    Cited by:

    1. Luke S. Benz & Michael J. Lopez, 2023. "Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 205-232, March.
    2. Dominik Schreyer & Benno Torgler, 2021. "Football spectator no-show behavior in Switzerland: Empirical evidence from season ticket holder behavior," CREMA Working Paper Series 2021-06, Center for Research in Economics, Management and the Arts (CREMA).
    3. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    4. Ferraresi Massimiliano & Gucciardi Gianluca, 2023. "Team performance and the perception of being observed: Experimental evidence from top-level professional football," German Economic Review, De Gruyter, vol. 24(1), pages 1-31, February.
    5. Michał Krawczyk & Paweł Strawiński, 2020. "Home advantage revisited. Did COVID level the playing fields?," Working Papers 2020-36, Faculty of Economic Sciences, University of Warsaw.
    6. Igor Viveiros & Henrique Rizzo, 2022. "Ganhando no grito: análise do impacto da pressão social nas decisões da arbitragem em partidas de futebol," Textos para Discussão Cedeplar-UFMG 648, Cedeplar, Universidade Federal de Minas Gerais.
    7. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2021. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," Economics Letters, Elsevier, vol. 198(C).
    8. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Eliminating supportive crowds reduces referee bias," Economics Discussion Papers em-dp2020-25, Department of Economics, University of Reading, revised 01 Dec 2021.
    9. Kai Fischer & Justus Haucap, 2020. "Does Crowd Support Drive the Home Advantage in Professional Soccer? Evidence from German Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8549, CESifo.
    10. Dilger, Alexander & Vischer, Lars, 2020. "No home bias in ghost games [Kein Heimspielvorteil bei Geisterspielen]," Discussion Papers of the Institute for Organisational Economics 7/2020, University of Münster, Institute for Organisational Economics.
    11. Christian Deutscher & David Winkelmann & Marius Otting, 2020. "Bookmakers' mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Papers 2008.05417, arXiv.org, revised Aug 2020.
    12. Mauro Caselli & Paolo Falco, 2021. "When the Mob Goes Silent: Uncovering the Effects of Racial Harassment through a Natural Experiment," DEM Working Papers 2021/01, Department of Economics and Management.
    13. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2020. "Using reminders with different reward opportunities to reduce no-show behavior: Empirical evidence from a large-scale field experiment in professional sport," CREMA Working Paper Series 2020-19, Center for Research in Economics, Management and the Arts (CREMA).
    14. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    15. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    16. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus," Economics Discussion Papers em-dp2020-20, Department of Economics, University of Reading.
    17. Scoppa, Vincenzo, 2021. "Social pressure in the stadiums: Do agents change behavior without crowd support?," Journal of Economic Psychology, Elsevier, vol. 82(C).
    18. Ferraresi, Massimiliano & Gucciardi, Gianluca, 2021. "Who chokes on a penalty kick? Social environment and individual performance during Covid-19 times," Economics Letters, Elsevier, vol. 203(C).
    19. Alex Bryson & Peter Dolton & J James Reade & Dominik Schreyer & Carl Singleton, 2020. "Experimental effects of an absent crowd on performance and refereeing decisions during Covid-19," DoQSS Working Papers 20-04, Quantitative Social Science - UCL Social Research Institute, University College London.
    20. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    21. Severin J. S. Oeckl & Stephen Morrow, 2022. "CSR in Professional Football in Times of Crisis: New Ways in a Challenging New Normal," IJFS, MDPI, vol. 10(4), pages 1-26, September.
    22. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    23. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    24. Massimiliano Ferraresi & Gianluca Gucciardi, 2020. "Team performance and audience: experimental evidence from the football sector," Working papers 94, Società Italiana di Economia Pubblica.
    25. Cueva, Carlos, 2020. "Animal Spirits in the Beautiful Game. Testing social pressure in professional football during the COVID-19 lockdown," OSF Preprints hczkj, Center for Open Science.

  18. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Eliminating supportive crowds reduces referee bias," Economics Discussion Papers em-dp2020-25, Department of Economics, University of Reading, revised 01 Dec 2021.

    Cited by:

    1. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.
    2. Starke, Stephan & Vischer, Lars & Dilger, Alexander, 2022. "Change in home bias due to ghost games in the NFL," Discussion Papers of the Institute for Organisational Economics 6/2022, University of Münster, Institute for Organisational Economics.
    3. Brad R. Humphreys & Alexander Marsella & Levi Perez, 2022. "The effect of monitoring and crowds on crime and law enforcement: A natural experiment from European football," Working Papers 22-08, Department of Economics, West Virginia University.
    4. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
    5. Justin Ehrlich & Joel Potter, 2023. "Estimating the effect of attendance on home advantage in the National Basketball Association," Applied Economics Letters, Taylor & Francis Journals, vol. 30(11), pages 1471-1482, June.
    6. Fabio Richlan & J. Lukas Thürmer & Jeremias Braid & Patrick Kastner & Michael Christian Leitner, 2023. "Subjective experience, self-efficacy, and motivation of professional football referees during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    7. Stuart Baumann & Carl Singleton, 2024. "They were robbed! Scoring by the middlemost to attenuate biased judging in boxing," Papers 2402.06594, arXiv.org.
    8. Yung-Chin Chiu & Chen-Kang Chang, 2022. "Major League Baseball during the COVID-19 pandemic: does a lack of spectators affect home advantage?," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-6, December.
    9. Kai Fischer & Justus Haucap, 2021. "Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic," Journal of Sports Economics, , vol. 22(8), pages 982-1008, December.
    10. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2023. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Papers 2308.06279, arXiv.org, revised Nov 2023.
    11. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    12. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    13. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    14. Dmitry Dagaev & Sofia Paklina & J. James Reade & Carl Singleton, 2024. "The Iron Curtain and Referee Bias in International Football," Journal of Sports Economics, , vol. 25(1), pages 126-151, January.
    15. Aldo Coelho Silva & Adriana Souza Amaral & Lucas Alves Facundo & Melissa Talita Wiprich & Leandro Rechenchosky & Wilson Rinaldi, 2022. "Two Years of COVID-19 Pandemic: How the Brazilian Serie A Championship Was Affected by Home Advantage, Performance and Disciplinary Aspects," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
    16. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    17. Dilger, Alexander & Vischer, Lars, 2023. "Effects of the rule change from three to five substitutions in the Bundesliga," Discussion Papers of the Institute for Organisational Economics 7/2023, University of Münster, Institute for Organisational Economics.
    18. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.
    19. Sergio Destefanis & Francesco Addesa & Giambattista Rossi, 2022. "The impact of COVID-19 on home advantage: a conditional order-m analysis of football clubs’ efficiency in the top-5 European leagues," Applied Economics, Taylor & Francis Journals, vol. 54(58), pages 6639-6655, December.
    20. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    21. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    22. Alex Farnell, 2023. "False Start? An Analysis of NFL Penalties With and Without Crowds," Journal of Sports Economics, , vol. 24(6), pages 695-716, August.
    23. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    24. Caselli, Mauro & Falco, Paolo & Somekh, Babak, 2022. "Inside the NBA Bubble: How Black Players Performed Better without Fans," GLO Discussion Paper Series 1178, Global Labor Organization (GLO).

  19. J. James Reade & Carl Singleton, 2020. "Demand for Public Events in the COVID-19 Pandemic: A Case Study of European Football," Economics Discussion Papers em-dp2020-09, Department of Economics, University of Reading, revised 01 Oct 2020.

    Cited by:

    1. Artur Grabowski, 2021. "Impact of COVID-19 Pandemic and Lockdown on the Activities of European Football Companies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 645-654.
    2. Svenja Feiler & Christoph Breuer, 2021. "Perceived Threats through COVID-19 and the Role of Organizational Capacity: Findings from Non-Profit Sports Clubs," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    3. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus," Economics Discussion Papers em-dp2020-20, Department of Economics, University of Reading.
    4. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    5. Vincenzo Alfano, 2022. "COVID-19 Diffusion Before Awareness: The Role of Football Match Attendance in Italy," Journal of Sports Economics, , vol. 23(5), pages 503-523, June.
    6. Matthew Olczak & J. James Reade & Matthew Yeo, 2020. "Mass Outdoor Events and the Spread of a Virus: English Football and Covid-19," Economics Discussion Papers em-dp2020-19, Department of Economics, University of Reading.
    7. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.
    8. Annelies Knoppers & Donna de Haan & Leanne Norman & Nicole LaVoi, 2022. "Elite women coaches negotiating and resisting power in football," Gender, Work and Organization, Wiley Blackwell, vol. 29(3), pages 880-896, May.

  20. Guy Elaad & J. James Reade & Carl Singleton, 2019. "Information, prices and efficiency in an online betting market," Economics Discussion Papers em-dp2019-10, Department of Economics, University of Reading.

    Cited by:

    1. Dave Cliff, 2021. "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers 2105.08310, arXiv.org.
    2. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    3. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
    4. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
    5. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    6. Ruud H. Koning & Renske Zijm, 2023. "Betting market efficiency and prediction in binary choice models," Annals of Operations Research, Springer, vol. 325(1), pages 135-148, June.
    7. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    8. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    9. J. James Reade & Carl Singleton & Leighton Vaughan Williams, 2020. "Betting markets for English Premier League results and scorelines: evaluating a forecasting model," Economics Discussion Papers em-dp2020-03, Department of Economics, University of Reading.
    10. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    11. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    12. Guy Elaad, 2020. "Home-field advantage and biased prediction markets in English soccer," Applied Economics Letters, Taylor & Francis Journals, vol. 27(14), pages 1170-1174, July.
    13. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    14. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.

  21. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.

    Cited by:

    1. Meshael Batarfi & J. James Reade, 2020. "Why are we so good at football, and they so bad? Institutions and national footballing performance," Economics Discussion Papers em-dp2020-17, Department of Economics, University of Reading.
    2. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Ruud H. Koning & Renske Zijm, 2023. "Betting market efficiency and prediction in binary choice models," Annals of Operations Research, Springer, vol. 325(1), pages 135-148, June.
    4. Marius Otting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Papers 2211.06052, arXiv.org.
    5. Alberto Arcagni & Vincenzo Candila & Rosanna Grassi, 2023. "A new model for predicting the winner in tennis based on the eigenvector centrality," Annals of Operations Research, Springer, vol. 325(1), pages 615-632, June.
    6. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.
    7. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.

  22. James Reade, 2018. "Officials and Home Advantage," Economics Discussion Papers em-dp2018-01, Department of Economics, University of Reading.

    Cited by:

    1. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.

  23. Carl Singleton & J. James Reade & Alsdair Brown, 2018. "Going with your Gut: The (In)accuracy of Forecast Revisions in a Football Score Prediction Game," Working Papers 2018-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    2. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
    3. Bar-Eli, Michael & Krumer, Alex & Morgulev, Elia, 2020. "Ask not what economics can do for sports - Ask what sports can do for economics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    4. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.

  24. James Reade & Genaro Sucarrat, 2016. "General-to-Specific (GETS) Modelling And Indicator Saturation With The R Package Gets," Economics Series Working Papers 794, University of Oxford, Department of Economics.

    Cited by:

    1. David Hendry & Lea Schneider & Jason E. Smerdon, 2016. "Detecting Volcanic Eruptions in Temperature Reconstructions by Designed Break-Indicator Saturation," Economics Series Working Papers 780, University of Oxford, Department of Economics.
    2. Jennifer L. Castle & David F. Hendry & Andrew B. Martinez, 2017. "Evaluating Forecasts, Narratives and Policy Using a Test of Invariance," Econometrics, MDPI, vol. 5(3), pages 1-27, September.
    3. Niels Framroze Møller & Laura Mørch Andersen & Lars Gårn Hansen & Carsten Lynge Jensen, 2018. "Can pecuniary and environmental incentives via SMS messaging make households adjust their intra-day electricity demand to a fluctuating production?," IFRO Working Paper 2018/06, University of Copenhagen, Department of Food and Resource Economics.
    4. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    5. Møller, Niels Framroze & Andersen, Laura Mørch & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2019. "Can pecuniary and environmental incentives via SMS messaging make households adjust their electricity demand to a fluctuating production?," Energy Economics, Elsevier, vol. 80(C), pages 1050-1058.
    6. Mukanjari, Samson & Sterner, Thomas, 2018. "Do Markets Trump Politics? Evidence from Fossil Market Reactions to the Paris Agreement and the U.S. Election," Working Papers in Economics 728, University of Gothenburg, Department of Economics.

  25. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics 293, Economic Studies, University of Dundee.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Dave Cliff, 2021. "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers 2105.08310, arXiv.org.
    3. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.
    4. Alasdair Brown & James Reade & Leighton Vaughan Williams, 2018. "Prediction Markets and Poll Releases: When Are Prices Most Informative?," Economics Discussion Papers em-dp2018-02, Department of Economics, University of Reading.
    5. Maribel Serna Rodríguez & Andrés Ramírez Hassan & Alexander Coad, 2019. "Uncovering Value Drivers of High Performance Soccer Players," Journal of Sports Economics, , vol. 20(6), pages 819-849, August.
    6. Dmitry Dagaev & Egor Stoyan, 2019. "Parimutuel Betting On The Esports Duels: Reverse Favourite-Longshot Bias And Its Determinants," HSE Working papers WP BRP 216/EC/2019, National Research University Higher School of Economics.

  26. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Dave Cliff, 2021. "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers 2105.08310, arXiv.org.
    3. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.
    4. Maribel Serna Rodríguez & Andrés Ramírez Hassan & Alexander Coad, 2019. "Uncovering Value Drivers of High Performance Soccer Players," Journal of Sports Economics, , vol. 20(6), pages 819-849, August.
    5. Dmitry Dagaev & Egor Stoyan, 2019. "Parimutuel Betting On The Esports Duels: Reverse Favourite-Longshot Bias And Its Determinants," HSE Working papers WP BRP 216/EC/2019, National Research University Higher School of Economics.

  27. James Reade, 2014. "Information and Predictability: Bookmakers, Prediction Markets and Tipsters as Forecasters," Economics Discussion Papers em-dp2014-05, Department of Economics, University of Reading.

    Cited by:

    1. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    2. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    3. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
    4. Alasdair Brown & Fuyu Yang, 2014. "Have Betting Exchanges Corrupted Horse Racing?," University of East Anglia Applied and Financial Economics Working Paper Series 066, School of Economics, University of East Anglia, Norwich, UK..
    5. Angelini, Giovanni & De Angelis, Luca & Singleton, Carl, 2022. "Informational efficiency and behaviour within in-play prediction markets," International Journal of Forecasting, Elsevier, vol. 38(1), pages 282-299.
    6. Juan Enrique Gonzálvez-Vallés & José Daniel Barquero-Cabrero & David Caldevilla-Domínguez & Almudena Barrientos-Báez, 2021. "Tipsters and Addiction in Spain. Young People’s Perception of Influencers on Online Sports Gambling," IJERPH, MDPI, vol. 18(11), pages 1-13, June.
    7. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    8. Elaad, Guy & Reade, J. James & Singleton, Carl, 2020. "Information, prices and efficiency in an online betting market," Finance Research Letters, Elsevier, vol. 35(C).
    9. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    10. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  28. Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics Discussion Papers em-dp2014-09, Department of Economics, University of Reading.

    Cited by:

    1. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics Discussion Papers em-dp2016-01, Department of Economics, University of Reading.
    2. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

  29. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Alasdair Brown & Fuyu Yang, 2014. "Have Betting Exchanges Corrupted Horse Racing?," University of East Anglia Applied and Financial Economics Working Paper Series 066, School of Economics, University of East Anglia, Norwich, UK..

  30. Edoardo Gallo & Thomas Grund & J. James Reade, 2012. "Punishing the Foreigner: Implicit Discrimination in the Premier League Based on Oppositional Identity," Discussion Papers 12-02, Department of Economics, University of Birmingham.

    Cited by:

    1. Peter Dawson, 2014. "Refereeing and infringement of the rules," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 24, pages 401-418, Edward Elgar Publishing.
    2. Principe, Francesco & van Ours, Jan C., 2022. "Racial bias in newspaper ratings of professional football players," European Economic Review, Elsevier, vol. 141(C).
    3. Stefano Cabras & J.D. Tena, 2022. "Implicit Institutional Incentives and Individual Decisions: Causal Inference with Deep Learning Models," Working Papers 202218, University of Liverpool, Department of Economics.
    4. Giacomo De Luca & Jeroen Schokkaert & Jo Swinnen, 2011. "Cultural Differences, Assimilation and Behavior: Player Nationality and Penalties in Football," LICOS Discussion Papers 29711, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    5. Rhett Brymer & Ryan M. Rodenberg & Huimiao Zheng & Tim R. Holcomb, 2021. "College Football Referee Bias and Sports Betting Impact," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(1), pages 91-106, January.
    6. David Neumark, 2016. "Experimental Research on Labor Market Discrimination," NBER Working Papers 22022, National Bureau of Economic Research, Inc.
    7. Richard Faltings & Alex Krumer & Michael Lechner, 2023. "Rot‐Jaune‐Verde: On linguistic bias of referees in Swiss soccer," Kyklos, Wiley Blackwell, vol. 76(3), pages 380-406, August.
    8. Giacomo De Luca & Jeroen Schokkaert & Johan Swinnen, 2015. "Cultural Differences, Assimilation, and Behavior," Journal of Sports Economics, , vol. 16(5), pages 508-530, June.
    9. Barry Reilly, 2014. "Labour market discrimination," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 15, pages 238-258, Edward Elgar Publishing.
    10. Vincenzo Carrieri & Francesco Principe & Michele Raitano, 2018. "What makes you ‘super-rich’? New evidence from an analysis of football players’ wages," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 950-973.
    11. Jorge Tovar, 2018. "Performance, Diversity and National Identity Evidence from Association football," Documentos CEDE 16820, Universidad de los Andes, Facultad de Economía, CEDE.
    12. Faltings, Richard & Krumer, Alex & Lechner, Michael, 2019. "Rot-Jaune-Verde. Language and Favoritism: Evidence from Swiss Soccer," Economics Working Paper Series 1915, University of St. Gallen, School of Economics and Political Science.
    13. Hlasny, V. & Kolaric, S., 2015. "Catch Me If You Can - Referee–Team Relationships and Disciplinary Cautions in Football," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74994, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Vladimir Hlasny & Sascha Kolaric, 2017. "Catch Me If You Can," Journal of Sports Economics, , vol. 18(6), pages 560-591, August.
    15. Jeffrey Chu & Saralees Nadarajah & Emmanuel Afuecheta & Stephen Chan & Ying Xu, 2014. "A statistical study of racism in English football," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2915-2937, September.
    16. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    17. David Neumark, 2018. "Experimental Research on Labor Market Discrimination," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 799-866, September.
    18. Paul Gift & Ryan M. Rodenberg, 2014. "Napoleon Complex," Journal of Sports Economics, , vol. 15(5), pages 541-558, October.
    19. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.
    20. Caselli, Mauro & Falco, Paolo & Somekh, Babak, 2022. "Inside the NBA Bubble: How Black Players Performed Better without Fans," GLO Discussion Paper Series 1178, Global Labor Organization (GLO).

  31. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.

    Cited by:

    1. James Reade, 2014. "Information and Predictability: Bookmakers, Prediction Markets and Tipsters as Forecasters," Economics Discussion Papers em-dp2014-05, Department of Economics, University of Reading.
    2. Raphael Flepp & Stephan Nüesch & Egon Franck, 2014. "The Liquidity Advantage of the Quote-Driven Market: Evidence from the Betting Industry," Working Papers 342, University of Zurich, Department of Business Administration (IBW).
    3. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    5. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    6. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.

  32. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific," Discussion Papers 11-18, Department of Economics, University of Birmingham.

    Cited by:

    1. Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry & Felix Pretis, 2015. "Detecting Location Shifts during Model Selection by Step-Indicator Saturation," Econometrics, MDPI, vol. 3(2), pages 1-25, April.

  33. J. James Reade, 2011. "Modelling Monetary and Fiscal Policy in the US: A Cointegration Approach," Discussion Papers 11-02, Department of Economics, University of Birmingham.

    Cited by:

    1. Zehua Luan & Xiangyu Man & Xuan Zhou, 2021. "Understanding the Interaction of Chinese Fiscal and Monetary Policy," JRFM, MDPI, vol. 14(9), pages 1-13, September.
    2. Daly, Hounaida & Smida, Mounir, 2013. "Interaction entre politique monétaire et politique budgétaire:Cas de la Grèce [Fiscal and Monetary Policy Interactions : The Greece Case]," MPRA Paper 45931, University Library of Munich, Germany.
    3. Daly, Hounaida & Smida, Mounir, 2013. "La coordination des politiques monétaire et budgétaire: Aperçu théorique [Coordination of monetary and fiscal policies: Theoretical Overview]," MPRA Paper 48066, University Library of Munich, Germany.
    4. Daly, Hounaida & Smida, Mounir, 2014. "Fiscal Theory of Price Level," MPRA Paper 60142, University Library of Munich, Germany.

  34. Karen Croxson & J. James Reade, 2011. "Information and Efficiency: Goal Arrival in Soccer Betting," Discussion Papers 11-01, Department of Economics, University of Birmingham.

    Cited by:

    1. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.
    2. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics Discussion Papers em-dp2016-01, Department of Economics, University of Reading.
    3. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2018. "The effect of fast trading on price discovery and efficiency: Evidence from a betting exchange," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 126-143.
    4. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2016. "The importance of suspense and surprise in entertainment demand: Evidence from Wimbledon," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 47-63.
    5. Dagaev, Dmitry & Stoyan, Egor, 2020. "Parimutuel betting on the eSports duels: Evidence of the reverse favourite-longshot bias," Journal of Economic Psychology, Elsevier, vol. 81(C).
    6. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2013. "Inter-market Arbitrage in Betting," Economica, London School of Economics and Political Science, vol. 80(318), pages 300-325, April.
    7. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    8. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    9. Michael Ehrmann & David‐Jan Jansen, 2017. "The Pitch Rather Than the Pit: Investor Inattention, Trading Activity, and FIFA World Cup Matches," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 807-821, June.
    10. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    11. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    12. Choi, Darwin & Hui, Sam K., 2014. "The role of surprise: Understanding overreaction and underreaction to unanticipated events using in-play soccer betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 614-629.
    13. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    14. Vitor Miguel Ribeiro, 2014. "Anticipating the long-term ideology of a policymaker," FEP Working Papers 553, Universidade do Porto, Faculdade de Economia do Porto.
    15. Andrés Barge-Gil & Alfredo Garcia-Hiernaux, 2020. "Staking in Sports Betting Under Unknown Probabilities: Practical Guide for Profitable Bettors," Journal of Sports Economics, , vol. 21(6), pages 593-609, August.
    16. Vandenbruaene, Jonas & De Ceuster, Marc & Annaert, Jan, 2023. "Does time series momentum also exist outside traditional financial markets? Near-laboratory evidence from sports betting," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    17. Angelini, Giovanni & De Angelis, Luca & Singleton, Carl, 2022. "Informational efficiency and behaviour within in-play prediction markets," International Journal of Forecasting, Elsevier, vol. 38(1), pages 282-299.
    18. Tim Pawlowski & Dooruj Rambaccussing & Philip Ramirez & James & Giambattista Rossi, 2023. "Exploring Entertainment Utility from Football Games," Economics Discussion Papers em-dp2023-13, Department of Economics, University of Reading.
    19. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    20. Ruud H. Koning & Renske Zijm, 2023. "Betting market efficiency and prediction in binary choice models," Annals of Operations Research, Springer, vol. 325(1), pages 135-148, June.
    21. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    22. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. "Liquidity, Market Efficiency and the Influence of Noise Traders: Quasi-Experimental Evidence from the Betting Industry," Working Papers 341, University of Zurich, Department of Business Administration (IBW).
    23. Singleton, Carl & Reade, J. James & Brown, Alasdair, 2020. "Going with your gut: The (In)accuracy of forecast revisions in a football score prediction game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    24. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    25. Mills, Brian M. & Salaga, Steven, 2018. "A natural experiment for efficient markets: Information quality and influential agents," Journal of Financial Markets, Elsevier, vol. 40(C), pages 23-39.
    26. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    27. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0025, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2009.
    28. Marius Otting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Papers 2211.06052, arXiv.org.
    29. Bar-Eli, Michael & Krumer, Alex & Morgulev, Elia, 2020. "Ask not what economics can do for sports - Ask what sports can do for economics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    30. Michael Ehrmann & David-Jan Jansen, 2016. "It Hurts (Stock Prices) When Your Team is about to Lose a Soccer Match," Review of Finance, European Finance Association, vol. 20(3), pages 1215-1233.
    31. Marco Ottaviani & Peter Norman Sørensen, 2009. "Aggregation of Information and Beliefs: Asset Pricing Lessons from Prediction Markets," Discussion Papers 09-14, University of Copenhagen. Department of Economics.
    32. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    33. Alasdair Brown & James Reade & Leighton Vaughan Williams, 2018. "Prediction Markets and Poll Releases: When Are Prices Most Informative?," Economics Discussion Papers em-dp2018-02, Department of Economics, University of Reading.
    34. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    35. Shane D. Sanders, 2024. "Wages, Talent, and Demand for NCAA Sport After the Alston v. NCAA Antitrust Case," Journal of Sports Economics, , vol. 25(2), pages 169-185, February.
    36. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
    37. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    38. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
    39. Samuel M. Hartzmark & David H. Solomon, 2012. "Efficiency and the Disposition Effect in NFL Prediction Markets," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-42.
    40. Alasdair Brown, 2013. "Information Acquisition in Ostensibly Efficient Markets," University of East Anglia Applied and Financial Economics Working Paper Series 043, School of Economics, University of East Anglia, Norwich, UK..
    41. Leif Brandes & Egon Franck & Erwin Verbeek, 2009. "The Validity of Models on the Information Content of Trades," Working Papers 00120, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2010.
    42. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    43. Barge-Gil, Andrés & García-Hiernaux, Alfredo, 2019. "Staking plans in sports betting under unknown true probabilities of the event," MPRA Paper 92196, University Library of Munich, Germany.
    44. Philippe Meier & Maximilian Rüdisser & Raphael Flepp & Egon Franck, 2019. "The advantage of scoring just before the halftime break – pure myth? Quasi-experimental evidence from European football," Working Papers 382, University of Zurich, Department of Business Administration (IBW).
    45. Egon Franck & Erwin Verbeek & Stephan Nuesch, 2009. "Inter- market Arbitrage in Sports Betting," NCER Working Paper Series 48, National Centre for Econometric Research.
    46. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    47. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    48. Zhao, Yang & Yu, Min-Teh, 2020. "Predicting catastrophe risk: Evidence from catastrophe bond markets," Journal of Banking & Finance, Elsevier, vol. 121(C).
    49. Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics Discussion Papers em-dp2014-09, Department of Economics, University of Reading.
    50. Dmitry Dagaev & Egor Stoyan, 2019. "Parimutuel Betting On The Esports Duels: Reverse Favourite-Longshot Bias And Its Determinants," HSE Working papers WP BRP 216/EC/2019, National Research University Higher School of Economics.
    51. Alasdair Brown & Fuyu Yang, 2015. "Adverse Selection, Speed Bumps and Asset Market Quality," University of East Anglia Applied and Financial Economics Working Paper Series 070, School of Economics, University of East Anglia, Norwich, UK..
    52. Hofer, Vera & Leitner, Johannes, 2017. "Relative pricing of binary options in live soccer betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 66-85.
    53. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico, 2019. "The temporal evolution of mispricing in prediction markets," Finance Research Letters, Elsevier, vol. 29(C), pages 303-307.
    54. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    55. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    56. Philippe Meier & Raphael Flepp & Maximilian Ruedisser & Egon Franck, 2020. "The Advantage of Scoring Just Before the Half-Time Break—Pure Myth? Quasi-Experimental Evidence From European Football," Journal of Sports Economics, , vol. 21(5), pages 548-565, June.
    57. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    58. Mark Richard & Jan Vecer, 2021. "Efficiency Testing of Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis," Risks, MDPI, vol. 9(2), pages 1-20, February.
    59. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.
    60. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    61. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.
    62. David Boto-Garcìa & Alessandro Bucciol & Luca Zarri, 2020. "Managerial Beliefs and Firm Performance: Field Evidence from Professional Elite Soccer," Working Papers 19/2020, University of Verona, Department of Economics.
    63. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.

  35. Reade, J. James & Volz, Ulrich, 2010. "Chinese monetary policy and the dollar peg," Discussion Papers 2010/35, Free University Berlin, School of Business & Economics.

    Cited by:

    1. Ito, Hiro & Volz, Ulrich, 2012. "The People’s Republic of China and Global Imbalances from a View of Sectorial Reforms," ADBI Working Papers 393, Asian Development Bank Institute.
    2. Taofeek Olusola Ayinde, 2022. "Modelling macroeconomic trilemma and central bank behaviour in Nigeria: a Markov-switching approach," Economic Change and Restructuring, Springer, vol. 55(3), pages 1303-1325, August.
    3. Kristina Spantig, 2012. "International monetary policy spillovers in an asymmetric world monetary system - The United States and China," Global Financial Markets Working Paper Series 2012-33, Friedrich-Schiller-University Jena.
    4. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.
    5. Sunanda SeN, 2014. "Financial integration and national autonomy: China and India," Review of Keynesian Economics, Edward Elgar Publishing, vol. 2(1), pages 20-44, January.
    6. Kristina Spantig, 2015. "International monetary policy spillovers—can the RMB and the euro challenge the hegemony of the US dollar?," Asia Europe Journal, Springer, vol. 13(4), pages 459-478, December.
    7. Bonatti, Luigi & Fracasso, Andrea, 2013. "Hoarding of international reserves in China: Mercantilism, domestic consumption and US monetary policy," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1044-1078.
    8. Sunanda Sen, 2012. "Managing Global Financial Flows at the Cost of National Autonomy: China and India," Economics Working Paper Archive wp_714, Levy Economics Institute.
    9. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific," Discussion Papers 11-18, Department of Economics, University of Birmingham.
    10. Jakub Borowski & Adam Czerniak, 2012. "Determinanty polityki pieniężnej Ludowego Banku Chin," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1-2, pages 97-116.
    11. Sun, Rongrong, 2014. "What Measures Chinese Monetary Policy?," MPRA Paper 58514, University Library of Munich, Germany.
    12. Popper, Helen & Mandilaras, Alex & Bird, Graham, 2013. "Trilemma stability and international macroeconomic archetypes," European Economic Review, Elsevier, vol. 64(C), pages 181-193.
    13. Körner, Finn Marten & Ehnts, Dirk H., 2013. "Chinese monetary policy – from theory to practice," MPRA Paper 44264, University Library of Munich, Germany.

  36. J James Reade & Ulrich Volz, 2010. "Too Much to Lose, or More to Gain? Should Sweden Join the Euro?," Discussion Papers 10-13, Department of Economics, University of Birmingham.

    Cited by:

    1. Łukasz Goczek & Dagmara Mycielska, 2013. "Long-run interest rate convergence in Poland and the EMU," Working Papers 2013-21, Faculty of Economic Sciences, University of Warsaw.
    2. Łukasz Goczek & Dagmara Mycielska, 2019. "Actual monetary policy independence in a small open economy: the Polish perspective," Empirical Economics, Springer, vol. 56(2), pages 499-522, February.
    3. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Rehman, Mobeen Ur, 2018. "Risk transmitters and receivers in global currency markets," Finance Research Letters, Elsevier, vol. 25(C), pages 1-9.
    4. D'Adamo, Gaetano, 2010. "Estimating Central Bank preferences in a small open economy: Sweden 1995-2009," MPRA Paper 26575, University Library of Munich, Germany.
    5. Stoupos, Nikolaos & Kiohos, Apostolos, 2017. "EU unification and linkages among the European currencies: new evidence from the EU and the EEA," Research in International Business and Finance, Elsevier, vol. 41(C), pages 28-36.
    6. BELAŞCU Lucian, 2016. "The Case of “EMU-Outsiders”: Economic and Political Considerations," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    7. Stoupos, Nikolaos & Kiohos, Apostolos, 2019. "Scandinavia: Towards the European Monetary Union?," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 278-291.
    8. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.
    9. Łukasz Goczek & Dagmara Mycielska, 2016. "Euro Dominance Hypothesis and Monetary Policy Independence the Czech Perspective," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(6), pages 655-670.
    10. Slawomir Czech, 2015. "The Political Economy Of Staying Outside The Eurozone: Poland And Sweden Compared," Oeconomia Copernicana, Institute of Economic Research, vol. 6(3), pages 23-43, September.
    11. Łukasz Goczek & Dagmara Mycielska, 2014. "Monetary policy and nominal convergence in CEE countries with inflation targeting," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    12. Milan Deskar-Škrbić & Davor Kunovac, 2020. "Twentieth Anniversary of the Euro: Why are Some Countries Still Not Willing to Join? Economists’ View," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(2), pages 242-262, June.
    13. Łukasz Goczek & Dagmara Mycielska, 2013. "Ready for euro? Empirical study of the actual monetary policy independence in Poland," Working Papers 2013-13, Faculty of Economic Sciences, University of Warsaw.
    14. Aleksandra Fedajev & Danijela Pantović & Isidora Milošević & Tamara Vesić & Aleksandra Jovanović & Magdalena Radulescu & Maria Cristina Stefan, 2023. "Evaluating the Outcomes of Monetary and Fiscal Policies in the EU in Times of Crisis: A PLS-SEM Approach," Sustainability, MDPI, vol. 15(11), pages 1-14, May.

  37. Aninday Banerjee & Markus Eberhardt & J James Reade, 2010. "Panel Estimation for Worriers," Discussion Papers 10-33, Department of Economics, University of Birmingham.

    Cited by:

    1. Georg von Graevenitz & Christian Helmers & Valentine Millot & Oliver Turnbull, 2016. "Does Online Search Predict Sales? Evidence from Big Data for Car Markets in Germany and the UK," Working Papers 71, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    2. Roth, Felix & Gros, Daniel & Nowak-Lehmann D., Felicitas, 2012. "Has the financial crisis eroded citizens' trust in the European Central Bank? Panel data evidence for the Euro area, 1999-2011," University of Göttingen Working Papers in Economics 124, University of Goettingen, Department of Economics.
    3. Herzer, Dierk & Strulik, Holger & Vollmer, Sebastian, 2010. "The Long-run Determinants of Fertility: One Century of Demographic Change 1900-1999," Hannover Economic Papers (HEP) dp-456, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Heike Belitz & Florian Mölders, 2013. "International Knowledge Spillovers through High-Tech Imports and R&D of Foreign-Owned Firms," Discussion Papers of DIW Berlin 1276, DIW Berlin, German Institute for Economic Research.
    5. Lozano, Ignacio & Julio, Juan Manuel, 2016. "Fiscal decentralization and economic growth in Colombia: evidence from regional-level panel data," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    6. Bakas, Dimitrios & Papapetrou, Evangelia, 2014. "Unemployment in Greece: Evidence from Greek regions using panel unit root tests," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 551-562.
    7. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2017. "Testing for Panel Cointegration Using Common Correlated Effects Estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 610-636, July.
    8. Ernesto R. Gantman & Marcelo P. Dabós, 2018. "Does trade openness influence the real effective exchange rate? New evidence from panel time-series," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(1), pages 91-113, March.
    9. Lozano, Ignacio & Julio, Juan Manuel, 2016. "Descentralización fiscal y crecimiento económico en Colombia: evidencia de datos de panel a nivel regional," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    10. Evangelia Papapetrou & Dimitrios Bakas, 2012. "Unemployment in Greece: evidence from Greek regions," Working Papers 146, Bank of Greece.
    11. Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2011. "Testing for Panel Cointegration Using Common Correlated Effects," Discussion Papers 11-16, Department of Economics, University of Birmingham.
    12. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    13. Giray Gozgor, 2013. "Testing Unemployment Persistence in Central and Eastern European Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 694-700.

  38. J. James ReadeUlrich Volz, 2009. "Leader of the Pack? German Monetary Dominance in Europe Prior to EMU," Economics Series Working Papers 419, University of Oxford, Department of Economics.

    Cited by:

    1. Łukasz Goczek & Dagmara Mycielska, 2013. "Long-run interest rate convergence in Poland and the EMU," Working Papers 2013-21, Faculty of Economic Sciences, University of Warsaw.
    2. Goczek, Łukasz & Witkowski, Bartosz, 2023. "Spillover effects of the unconventional monetary policy of the European Central Bank," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 82-104.
    3. J James Reade & Ulrich Volz, 2010. "Too Much to Lose, or More to Gain? Should Sweden Join the Euro?," Discussion Papers 10-13, Department of Economics, University of Birmingham.
    4. Łukasz Goczek & Dagmara Mycielska, 2019. "Actual monetary policy independence in a small open economy: the Polish perspective," Empirical Economics, Springer, vol. 56(2), pages 499-522, February.
    5. Ulrich Volz, 2016. "Regional Financial Integration in East Asia against the Backdrop of Recent European Experiences," International Economic Journal, Taylor & Francis Journals, vol. 30(2), pages 272-293, June.
    6. Reade, J. James & Volz, Ulrich, 2010. "Chinese monetary policy and the dollar peg," Discussion Papers 2010/35, Free University Berlin, School of Business & Economics.
    7. James McNeil, 2024. "Modeling interest rate setting at the European Central Bank with bargaining models and counterfactuals," Empirical Economics, Springer, vol. 66(3), pages 1037-1053, March.
    8. Ewe Ghee Lim & Soo Khoon Goh, 2016. "Is Malaysia exempted from the impossible trinity? An empirical analysis for an emerging market," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(2), pages 131-147, July.
    9. Fratzscher, Marcel & Mehl, Arnaud, 2011. "China's dominance hypothesis and the emergence of a tri-polar global currency system," Working Paper Series 1392, European Central Bank.
    10. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.
    11. Chortareas, Georgios & Mavrodimitrakis, Christos, 2016. "Can monetary policy fully stabilize pure demand shocks in a monetary union with a fiscal leader?," Economic Modelling, Elsevier, vol. 54(C), pages 463-468.
    12. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.
    13. Łukasz Goczek & Dagmara Mycielska, 2014. "Monetary policy and nominal convergence in CEE countries with inflation targeting," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    14. Łukasz Goczek & Dagmara Mycielska, 2013. "Ready for euro? Empirical study of the actual monetary policy independence in Poland," Working Papers 2013-13, Faculty of Economic Sciences, University of Warsaw.
    15. Goczek, Łukasz & Partyka, Karol J., 2019. "Too small to be independent? On the influence of ECB monetary policy on interest rates of the EEA countries," Economic Modelling, Elsevier, vol. 78(C), pages 180-191.

  39. Bent Nielsen & J. James Reade, 2004. "Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression," Economics Papers 2004-W24, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Audrey Laporte & Adrian Rohit Dass & Brian Ferguson, 2015. "Is the Rational Addiction model inherently impossible to estimate?," Working Papers 150011, Canadian Centre for Health Economics, revised Jun 2016.
    2. Bent Nielsen & J. James Reade, 2004. "Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression," Economics Papers 2004-W24, Economics Group, Nuffield College, University of Oxford.

Articles

  1. Dmitry Dagaev & Sofia Paklina & J. James Reade & Carl Singleton, 2024. "The Iron Curtain and Referee Bias in International Football," Journal of Sports Economics, , vol. 25(1), pages 126-151, January.
    See citations under working paper version above.
  2. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.
    See citations under working paper version above.
  3. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    See citations under working paper version above.
  4. J. James Reade & Dominik Schreyer & Carl Singleton, 2022. "Eliminating supportive crowds reduces referee bias," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1416-1436, July.
    See citations under working paper version above.
  5. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).

    Cited by:

    1. Abeliansky, Ana Lucia & Prettner, Klaus & Stöllinger, Roman, 2023. "Infection Risk at Work, Automatability, and Employment," Department of Economics Working Paper Series 352, WU Vienna University of Economics and Business.
    2. Sam Hoey & Thomas Peeters & Jan C. van Ours, 2022. "The Impact of Absent Coworkers on Productivity in Teams," Tinbergen Institute Discussion Papers 22-052/V, Tinbergen Institute.
    3. Schmal, W. Benedikt & Haucap, Justus & Knoke, Leon, 2023. "The role of gender and coauthors in academic publication behavior," DICE Discussion Papers 397, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Galindo, Arturo & Tovar, Jorge, 2024. "From the Pandemic to the Pitch. Unraveling COVID-19's Effect on Workers' Performance," Documentos CEDE 21007, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Pedro Garcia-del-Barrio & J. James Reade, 2023. "The Impact of Uncertainty on Fan Interest Surrounding Multiple Outcomes in Open European Football Leagues," Economics Discussion Papers em-dp2023-02, Department of Economics, University of Reading.
    6. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    7. Huy Quang Pham & Phuc Kien Vu, 2023. "Does Public Value Commitment Leadership and Corporate Social Responsibility Fuel Accountant’s Productivity During Covid-19 Pandemic and New Normal: A Case Study on Public Sector in Vietnam," Public Organization Review, Springer, vol. 23(2), pages 575-603, June.

  6. Pedro Garcia-del-Barrio & J. James Reade, 2022. "Does certainty on the winner diminish the interest in sport competitions? The case of formula one," Empirical Economics, Springer, vol. 63(2), pages 1059-1079, August.
    See citations under working paper version above.
  7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    See citations under working paper version above.
  8. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
    See citations under working paper version above.
  9. J. James Reade & Dominik Schreyer & Carl Singleton, 2021. "Stadium attendance demand during the COVID-19 crisis: early empirical evidence from Belarus," Applied Economics Letters, Taylor & Francis Journals, vol. 28(18), pages 1542-1547, October.
    See citations under working paper version above.
  10. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2021. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," Economics Letters, Elsevier, vol. 198(C).
    See citations under working paper version above.
  11. Singleton, Carl & Reade, J. James & Brown, Alasdair, 2020. "Going with your gut: The (In)accuracy of forecast revisions in a football score prediction game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    See citations under working paper version above.
  12. Elaad, Guy & Reade, J. James & Singleton, Carl, 2020. "Information, prices and efficiency in an online betting market," Finance Research Letters, Elsevier, vol. 35(C).
    See citations under working paper version above.
  13. Clements, Michael P. & Reade, J. James, 2020. "Forecasting and forecast narratives: The Bank of England Inflation Reports," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1488-1500.

    Cited by:

    1. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    3. Jacob T. Jones & Tara M. Sinclair & Herman O. Stekler, 2018. "A Textual Analysis of the Bank of England Growth Forecasts," Working Papers 2018-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised May 2019.
    4. Jennifer L. Castle & David F. Hendry & Andrew B. Martinez, 2017. "Evaluating Forecasts, Narratives and Policy Using a Test of Invariance," Econometrics, MDPI, vol. 5(3), pages 1-27, September.
    5. Niţoi, Mihai & Pochea, Maria-Miruna & Radu, Ştefan-Constantin, 2023. "Unveiling the sentiment behind central bank narratives: A novel deep learning index," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    6. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    7. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    8. Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
    9. Ilias Filippou & James Mitchell & My T. Nguyen, 2023. "The FOMC versus the Staff: Do Policymakers Add Value in Their Tales?," Working Papers 23-20, Federal Reserve Bank of Cleveland.
    10. Dooruj Rambaccussing & Craig Menzies & Andrzej Kwiatkowski, 2022. "Look who’s Talking: Individual Committee members’ impact on inflation expectations," Dundee Discussion Papers in Economics 305, Economic Studies, University of Dundee.
    11. Sharpe, Steven A. & Sinha, Nitish R. & Hollrah, Christopher A., 2023. "The power of narrative sentiment in economic forecasts," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1097-1121.
    12. Jennifer Castle & David Hendry, 2016. "Policy Analysis, Forediction, and Forecast Failure," Economics Series Working Papers 809, University of Oxford, Department of Economics.
    13. Rambaccussing, Dooruj & Kwiatkowski, Andrzej, 2020. "Forecasting with news sentiment: Evidence with UK newspapers," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1501-1516.

  14. J Reade & C Singleton & L Vaughan Williams, 2020. "Betting Markets for English Premier League Results and Scorelines: Evaluating a Simple Forecasting Model," Economic Issues Journal Articles, Economic Issues, vol. 25(1), pages 87-106, March.
    See citations under working paper version above.
  15. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

    Cited by:

    1. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2018. "The effect of fast trading on price discovery and efficiency: Evidence from a betting exchange," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 126-143.
    2. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    4. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Does sentiment harm market efficiency? An empirical analysis using a betting exchange setting," Working Papers 381, University of Zurich, Department of Business Administration (IBW).
    5. Grainger, Daniel & Stoeckl, Natalie, 2019. "The importance of social learning for non-market valuation," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    6. Merz, Oliver & Flepp, Raphael & Franck, Egon, 2021. "Sonic Thunder vs. Brian the Snail: Are people affected by uninformative racehorse names?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    7. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    8. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
    9. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    10. Schadner, Wolfgang, 2022. "U.S. Politics from a multifractal perspective," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    11. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    12. Mark Richard & Jan Vecer, 2021. "Efficiency Testing of Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis," Risks, MDPI, vol. 9(2), pages 1-20, February.

  16. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.

    Cited by:

    1. Yu, Dian & Gao, Jianjun & Wang, Tongyao, 2022. "Betting market equilibrium with heterogeneous beliefs: A prospect theory-based model," European Journal of Operational Research, Elsevier, vol. 298(1), pages 137-151.
    2. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    3. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
    4. Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
    5. Andrés Barge-Gil & Alfredo Garcia-Hiernaux, 2020. "Staking in Sports Betting Under Unknown Probabilities: Practical Guide for Profitable Bettors," Journal of Sports Economics, , vol. 21(6), pages 593-609, August.
    6. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
    7. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    8. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    9. Singleton, Carl & Reade, J. James & Brown, Alasdair, 2020. "Going with your gut: The (In)accuracy of forecast revisions in a football score prediction game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    10. Taylor, James W. & Taylor, Kathryn S., 2023. "Combining probabilistic forecasts of COVID-19 mortality in the United States," European Journal of Operational Research, Elsevier, vol. 304(1), pages 25-41.
    11. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    12. Wen-Kuo Chen & Dalianus Riantama & Long-Sheng Chen, 2020. "Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    13. Arif Yüce & Sevda Gökce Yüce & Hakan Katırcı & Volkan Aydoğdu & Weisheng Chiu & Mark D. Griffiths, 2023. "The Effect of the COVID-19 Pandemic on Sports Betting Tipsters as Professional Bettors: A Qualitative Interview Study," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    14. Jaspersen, Johannes G., 2022. "Convex combinations in judgment aggregation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 780-794.
    15. Zibarzani, Masoumeh & Abumalloh, Rabab Ali & Nilashi, Mehrbakhsh & Samad, Sarminah & Alghamdi, O.A. & Nayer, Fatima Khan & Ismail, Muhammed Yousoof & Mohd, Saidatulakmal & Mohammed Akib, Noor Adelyna, 2022. "Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology," Technology in Society, Elsevier, vol. 70(C).
    16. Holmes, Benjamin & McHale, Ian G. & Żychaluk, Kamila, 2024. "Detecting individual preferences and erroneous verdicts in mixed martial arts judging using Bayesian hierarchical models," European Journal of Operational Research, Elsevier, vol. 312(2), pages 733-745.

  17. Reade, J. James & Vaughan Williams, Leighton, 2019. "Polls to probabilities: Comparing prediction markets and opinion polls," International Journal of Forecasting, Elsevier, vol. 35(1), pages 336-350.

    Cited by:

    1. Levene, Mark & Fenner, Trevor, 2021. "A stochastic differential equation approach to the analysis of the 2017 and 2019 UK general election polls," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1227-1234.

  18. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.

    Cited by:

    1. Tao Chen & Erin P. K. So & Isabel K. M. Yan, 2021. "Are crises sentimental?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 962-985, January.
    2. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    3. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
    4. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    5. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    6. Ruud H. Koning & Renske Zijm, 2023. "Betting market efficiency and prediction in binary choice models," Annals of Operations Research, Springer, vol. 325(1), pages 135-148, June.
    7. Singleton, Carl & Reade, J. James & Brown, Alasdair, 2020. "Going with your gut: The (In)accuracy of forecast revisions in a football score prediction game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    8. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    9. Merz, Oliver & Flepp, Raphael & Franck, Egon, 2021. "Sonic Thunder vs. Brian the Snail: Are people affected by uninformative racehorse names?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    10. Arif Yüce & Sevda Gökce Yüce & Hakan Katırcı & Volkan Aydoğdu & Weisheng Chiu & Mark D. Griffiths, 2023. "The Effect of the COVID-19 Pandemic on Sports Betting Tipsters as Professional Bettors: A Qualitative Interview Study," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    11. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    12. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Christoph Schlembach & Sascha L. Schmidt & Dominik Schreyer & Linus Wunderlich, 2020. "Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model," Papers 2012.04378, arXiv.org, revised Jun 2021.
    14. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    15. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sánchez-Alonso, Salvador, 2023. "Twitter as a predictive system: A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
    16. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.
    17. Bowden, James & Kwiatkowski, Andrzej & Rambaccussing, Dooruj, 2019. "Economy through a lens: Distortions of policy coverage in UK national newspapers," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 881-906.
    18. Rambaccussing, Dooruj & Kwiatkowski, Andrzej, 2020. "Forecasting with news sentiment: Evidence with UK newspapers," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1501-1516.

  19. Leighton Vaughan Williams & J. James Reade, 2016. "Forecasting Elections," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(4), pages 308-328, July.

    Cited by:

    1. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics Discussion Papers em-dp2016-01, Department of Economics, University of Reading.
    2. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    3. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. Fronzetti Colladon, Andrea, 2020. "Forecasting election results by studying brand importance in online news," International Journal of Forecasting, Elsevier, vol. 36(2), pages 414-427.
    5. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Does sentiment harm market efficiency? An empirical analysis using a betting exchange setting," Working Papers 381, University of Zurich, Department of Business Administration (IBW).
    6. Chih‐Yu Chin & Cheng‐Lung Wang, 2021. "A new insight into combining forecasts for elections: The role of social media," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 132-143, January.
    7. Brown, Alasdair & Yang, Fuyu, 2019. "The wisdom of large and small crowds: Evidence from repeated natural experiments in sports betting," International Journal of Forecasting, Elsevier, vol. 35(1), pages 288-296.
    8. Bunker, Kenneth, 2020. "A two-stage model to forecast elections in new democracies," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1407-1419.
    9. Merz, Oliver & Flepp, Raphael & Franck, Egon, 2021. "Sonic Thunder vs. Brian the Snail: Are people affected by uninformative racehorse names?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    10. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    11. John Fry & Andrew Brint, 2017. "Bubbles, Blind-Spots and Brexit," Risks, MDPI, vol. 5(3), pages 1-15, July.
    12. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    13. Reade, J. James & Vaughan Williams, Leighton, 2019. "Polls to probabilities: Comparing prediction markets and opinion polls," International Journal of Forecasting, Elsevier, vol. 35(1), pages 336-350.
    14. Schadner, Wolfgang, 2022. "U.S. Politics from a multifractal perspective," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    15. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    16. Mark Richard & Jan Vecer, 2021. "Efficiency Testing of Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis," Risks, MDPI, vol. 9(2), pages 1-20, February.
    17. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  20. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Felix Pretis, 2022. "Does a Carbon Tax Reduce CO2 Emissions? Evidence from British Columbia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(1), pages 115-144, September.
    4. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    5. Merz, Oliver & Flepp, Raphael & Franck, Egon, 2021. "Sonic Thunder vs. Brian the Snail: Are people affected by uninformative racehorse names?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    6. Benesch, Christine & Loretz, Simon & Stadelmann, David & Thomas, Tobias, 2019. "Media coverage and immigration worries: Econometric evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 52-67.
    7. Kodila-Tedika, Oasis, 2018. "Natural Resource Governance: Does Social Media Matter?," MPRA Paper 84809, University Library of Munich, Germany.
    8. Lohrmann, Christoph & Luukka, Pasi, 2019. "Classification of intraday S&P500 returns with a Random Forest," International Journal of Forecasting, Elsevier, vol. 35(1), pages 390-407.
    9. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    10. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  21. Karen Croxson & J. James Reade, 2014. "Information and Efficiency: Goal Arrival in Soccer Betting," Economic Journal, Royal Economic Society, vol. 124(575), pages 62-91, March.
    See citations under working paper version above.
  22. James Reade, 2014. "Information And Predictability: Bookmakers, Prediction Markets And Tipsters As Forecasters," Journal of Prediction Markets, University of Buckingham Press, vol. 8(1), pages 43-76.
    See citations under working paper version above.
  23. Edoardo Gallo & Thomas Grund & J. James Reade, 2013. "Punishing the Foreigner: Implicit Discrimination in the Premier League Based on Oppositional Identity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 136-156, February.
    See citations under working paper version above.
  24. Vasileios Manasis & Vassiliki Avgerinou & Ioannis Ntzoufras & J. James Reade, 2011. "Measurement of competitive balance in professional team sports using the Normalized Concentration Ratio," Economics Bulletin, AccessEcon, vol. 31(3), pages 2529-2540.

    Cited by:

    1. P. Dorian Owen, 2013. "Measurement of Competitive Balance and Uncertainty of Outcome," Working Papers 1311, University of Otago, Department of Economics, revised Aug 2013.
    2. P. Dorian Owen & Nicholas King, 2013. "Competitive Balance Measures in Sports Leagues: The Effects of Variation in Season Length," Working Papers 1309, University of Otago, Department of Economics, revised Jul 2013.
    3. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    4. Meletakos, Panagiotis & Chatzicharistos, Dimitrios & Apostolidis, Nikolaos & Manasis, Vasilios & Bayios, Ioannis, 2016. "Foreign players and competitive balance in Greek basketball and handball championships," Sport Management Review, Elsevier, vol. 19(4), pages 391-401.
    5. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.

  25. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific—Modelling Inflation in China," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(1), pages 27-44.

    Cited by:

    1. Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry & Felix Pretis, 2015. "Detecting Location Shifts during Model Selection by Step-Indicator Saturation," Econometrics, MDPI, vol. 3(2), pages 1-25, April.

  26. Reade, J. James & Volz, Ulrich, 2011. "Leader of the pack? German monetary dominance in Europe prior to EMU," Economic Modelling, Elsevier, vol. 28(1-2), pages 239-250, January.
    See citations under working paper version above.
  27. Aris Spanos & David F. Hendry & J. James Reade, 2008. "Linear vs. Log‐linear Unit‐Root Specification: An Application of Mis‐specification Encompassing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 829-847, December.

    Cited by:

    1. Luigi Ermini & David F. Hendry, 2008. "Log Income vs. Linear Income: An Application of the Encompassing Principle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 807-827, December.
    2. Maozu Lu & Grayham E. Mizon & Chiara Monfardini, 2008. "Simulation Encompassing: Testing Non‐nested Hypotheses," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 781-806, December.
    3. Katarina Juselius & Niels Framroze Møller & Finn Tarp, 2011. "The Long-Run Impact of Foreign Aid in 36 African Countries: Insights from Multivariate Time Series Analysis," WIDER Working Paper Series wp-2011-051, World Institute for Development Economic Research (UNU-WIDER).
    4. Masayoshi Hayashi, 2013. "On the Decomposition of Regional Stabilization and Redistribution," CIRJE F-Series CIRJE-F-910, CIRJE, Faculty of Economics, University of Tokyo.
    5. Jennifer L. Castle & Jurgen A. Doornik & David Hendry, 2019. "Some forecasting principles from the M4 competition," Economics Papers 2019-W01, Economics Group, Nuffield College, University of Oxford.

  28. Bent Nielsen & J. James Reade, 2007. "Simulating Properties of the Likelihood Ratio Test for a Unit Root in an Explosive Second-Order Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 26(5), pages 487-501.
    See citations under working paper version above.

Chapters

  1. J. James Reade, 2021. "Football attendance over the centuries," Chapters, in: Ruud H. Koning & Stefan Kesenne (ed.), A Modern Guide to Sports Economics, chapter 3, pages 21-43, Edward Elgar Publishing.
    See citations under working paper version above.
  2. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.

    Cited by:

    1. Frey, Leo & Volz, Ulrich, 2011. "Regional Financial Integration in Sub-Saharan Africa - An Empirical Examination of its Effects on Financial Market Development," Proceedings of the German Development Economics Conference, Berlin 2011 29, Verein für Socialpolitik, Research Committee Development Economics.

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