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Midweek Effect On Soccer Performance: Evidence From The German Bundesliga
Citations
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Cited by:
- Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
- Endrich, Marek & Gesche, Tobias, 2020. "Home-bias in referee decisions: Evidence from “Ghost Matches” during the Covid19-Pandemic," Economics Letters, Elsevier, vol. 197(C).
- 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.
- Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
- 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).
- 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," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
- 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, 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].
- 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.
- repec:tiu:tiutis:17173d9d-6768-4748-a789-54dfc771bd85 is not listed on IDEAS
- Fabrizio Colella & Patricio S. Dalton & Giovanni Giusti, 2024. "Moral Support and Performance," Management Science, INFORMS, vol. 70(7), pages 4614-4628, July.
- Brox, Enzo & Krieger, Tommy, 2022. "Birthplace diversity and team performance," Labour Economics, Elsevier, vol. 79(C).
- Mario Lackner & Hendrik Sonnabend, 2023.
"Presenteeism when employers are under pressure: evidence from a high‐stakes environment,"
Economica, London School of Economics and Political Science, vol. 90(358), pages 477-507, April.
- Mario Lackner & Hendrik Sonnabend, 2021. "Presenteeism when employers are under pressure: Evidence from a high-stakes environment," Economics working papers 2021-20, Department of Economics, Johannes Kepler University Linz, Austria.
- 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).
- 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.
- Levi Pérez, 2021. "Will We Lose If We Lose You? Players’ Absence, Teams’ Performance and the Overlapping of Competitions," Journal of Sports Economics, , vol. 22(6), pages 722-734, August.
- 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.
- 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.
- 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.
- 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.
- Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2022.
"Strategic investment decisions in multi-stage contests with heterogeneous players,"
Theory and Decision, Springer, vol. 93(2), pages 281-317, September.
- Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2019. "Strategic Investment Decisions in Multi-stage Contests with Heterogeneous Players," CESifo Working Paper Series 7474, CESifo.
- 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),"
Other publications TiSEM
aa76dfa7-73db-45d1-8c47-3, Tilburg University, School of Economics and Management.
- 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.
- David Boto‐García & Carlos Varela‐Quintana & Alvaro Muñiz, 2023. "Foreign players, team production, and technical efficiency: Evidence from European soccer," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1209-1241, October.
- 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.
- Brox, Enzo & Krieger, Tommy, 2019. "Birthplace diversity and team performance," ZEW Discussion Papers 19-020, ZEW - Leibniz Centre for European Economic Research.
- 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.
- 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).
- 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.
- Carlos Alberto Belchior, 2020. "Fans and Match Results: Evidence From a Natural Experiment in Brazil," Journal of Sports Economics, , vol. 21(7), pages 663-687, October.
- Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.