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Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues
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Cited by:
- Daniel Goller, 2023.
"Analysing a built-in advantage in asymmetric darts contests using causal machine learning,"
Annals of Operations Research, Springer, vol. 325(1), pages 649-679, June.
- Goller, Daniel, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Economics Working Paper Series 2013, University of St. Gallen, School of Economics and Political Science.
- Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
- Stefano Cabras & Marco Delogu & J.D. Tena, 2023.
"Forced to play too many matches? A deep-learning assessment of crowded schedule,"
Applied Economics, Taylor & Francis Journals, vol. 55(52), pages 6187-6204, November.
- Stefano Cabras & Marco Delogu & J.D. Tena, 2021. "Forced to Play Too Many Matches? A DeepLearning Assessment of Crowded Schedule," Working Papers 202110 Classification-, University of Liverpool, Department of Economics.
- Bergantiños, Gustavo & Moreno-Ternero, Juan D., 2022.
"Monotonicity in sharing the revenues from broadcasting sports leagues,"
European Journal of Operational Research, Elsevier, vol. 297(1), pages 338-346.
- Gustavo Bergantiños & Juan D. Moreno-Ternero, 2021. "Monotonicity in sharing the revenues from broadcasting sports leagues," Working Papers 21.09, Universidad Pablo de Olavide, Department of Economics.
- Bergantiños, Gustavo & Moreno-Ternero, Juan D., 2021. "Monotonicity in sharing the revenues from broadcasting sports leagues," MPRA Paper 105643, University Library of Munich, Germany.
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020.
"Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed,"
Labour Economics, Elsevier, vol. 65(C).
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germany's Programmes for Long Term Unemployed," IZA Discussion Papers 12526, Institute of Labor Economics (IZA).
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? : The case of Germany's programmes for long term unemployed," IAB-Discussion Paper 202005, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- 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.
- Fischer, Kai & Haucap, Justus, 2020. "Does crowd support drive the home advantage in professional soccer? Evidence from German ghost games during the COVID-19 pandemic," DICE Discussion Papers 344, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Scoppa, Vincenzo, 2021.
"Social pressure in the stadiums: Do agents change behavior without crowd support?,"
Journal of Economic Psychology, Elsevier, vol. 82(C).
- Scoppa, Vincenzo, 2020. "Social Pressure in the Stadiums: Do Agents Change Behavior without Crowd Support?," IZA Discussion Papers 13595, Institute of Labor Economics (IZA).
- Vincenzo Scoppa, 2020. "Social Pressure In The Stadiums: Do Agents Change Behavior Without Crowd Support?," Working Papers 202006, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
- 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.
- 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.
- Franziska Braschke & Patrick A. Puhani, 2023.
"Population Adjustment to Asymmetric Labour Market Shocks in India: A Comparison to Europe and the United States at Two Different Regional Levels,"
The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 7-35, March.
- Braschke, Franziska & Puhani, Patrick A., 2022. "Population Adjustment to Asymmetric Labour Market Shocks in India: A Comparison to Europe and the United States at Two Different Regional Levels," GLO Discussion Paper Series 1111, Global Labor Organization (GLO).
- Braschke, Franziska & Puhani, Patrick, 2022. "Population Adjustment to Asymmetric Labour Market Shocks in India - A Comparison to Europe and the United States at Two Different Regional Levels," Economics Working Paper Series 2203, University of St. Gallen, School of Economics and Political Science.
- Franziska Braschke & Patrick Puhani, 2022. "Population Adjustment to Asymmetric Labour Market Shocks in India A Comparison to Europe and the United States at Two Different Regional Levels," RF Berlin - CReAM Discussion Paper Series 2214, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Braschke, Franziska & Puhani, Patrick A., 2022. "Population Adjustment to Asymmetric Labour Market Shocks in India: A Comparison to Europe and the United States at Two Different Regional Levels," IZA Discussion Papers 15355, Institute of Labor Economics (IZA).
- Braschke, Franziska & Puhani, Patrick A., 2022. "Population Adjustment to Asymmetric Labour Market Shocks in India - A Comparison to Europe and the United States at Two Different Regional Levels," Hannover Economic Papers (HEP) dp-699, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- 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).
- 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," Economics Discussion Papers em-dp2020-18, Department of Economics, University of Reading, revised 16 Nov 2020.
- 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.
- Farai Jena & Barry Reilly, 2022. "Are spectator preferences weaker for cup compared to league competitions? Evidence from Irish soccer," Applied Economics Letters, Taylor & Francis Journals, vol. 29(9), pages 835-841, May.
- 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.
- 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.
- Daniel Goller & Sandro Heiniger, 2024.
"A general framework to quantify the event importance in multi-event contests,"
Annals of Operations Research, Springer, vol. 341(1), pages 71-93, October.
- Goller, Daniel & Heiniger, Sandro, 2022. "A general framework to quantify the event importance in multi-event contests," Economics Working Paper Series 2204, University of St. Gallen, School of Economics and Political Science.
- César Velázquez Guadarrama & Juan MartÃn Hernández Velázquez, 2024. "La presión social en la toma de decisiones: la ventaja del equipo local en el fútbol mexicano/Social pressure in decision making: Home advantage in Mexican football," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 39(2), pages 279–310-2.
- Peter-J. Jost, 2021. "Competitive Balance and the Away Goals Rule During Extra Time," Journal of Sports Economics, , vol. 22(7), pages 823-863, October.
- Jeremy K. Nguyen & Adam Karg & Abbas Valadkhani & Heath McDonald, 2022. "Predicting individual event attendance with machine learning: a ‘step-forward’ approach," Applied Economics, Taylor & Francis Journals, vol. 54(27), pages 3138-3153, June.
- Jan C. van Ours & Martin van Tuijl, 2024. "Incentives matter sometimes: On the differences between league and Cup football matches," Tinbergen Institute Discussion Papers 24-044/V, Tinbergen Institute.
- 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.
- 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.
- Di Mattia, Alessandro & Krumer, Alex, 2023. "Fewer teams, more games, larger attendance? Evidence from the structural change in basketball's EuroLeague," European Journal of Operational Research, Elsevier, vol. 309(1), pages 359-370.
- Thomas Peeters & Jan C. Ours, 2021. "Seasonal Home Advantage in English Professional Football; 1974–2018," De Economist, Springer, vol. 169(1), pages 107-126, February.
- 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.
- 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.
- Guajardo, Mario & Krumer, Alex, 2023. "Format and schedule proposals for a FIFA World Cup with 12 four-team groups," Discussion Papers 2023/2, Norwegian School of Economics, Department of Business and Management Science.
- Christopher Magee & Amy Wolaver, 2023. "Crowds and the Timing of Goals and Referee Decisions1," Journal of Sports Economics, , vol. 24(6), pages 801-828, August.
- 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.
- 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.
- Daniel Goller & Maximilian Spath, 2023. "'Good job!' The impact of positive and negative feedback on performance," Papers 2301.11776, arXiv.org.
- Joost Bosker & Marc Gürtler, 2024. "The impact of cultural differences on the success of elite labor migration—Evidence from professional soccer," Annals of Operations Research, Springer, vol. 341(2), pages 781-824, October.