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Ruud Koning

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Ruud H. Koning, 2001. "A comparison of different LaTeX programs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 81-92.

    Mentioned in:

    1. A comparison of different programs (Journal of Applied Econometrics 2001) in ReplicationWiki ()

Working papers

  1. Pham, Thong Le & Kooreman, Peter & Koning, Ruud H. & Wiersma, Doede, 2011. "Gender Patterns in Vietnam's Child Mortality," IZA Discussion Papers 5741, Institute of Labor Economics (IZA).

    Cited by:

    1. Makate, Marshall & Makate, Clifton, 2016. "The causal effect of increased primary schooling on child mortality in Malawi: Universal primary education as a natural experiment," Social Science & Medicine, Elsevier, vol. 168(C), pages 72-83.
    2. Makate, Marshall & Makate, Clifton, 2016. "Is poor sanitation killing more children in rural Zimbabwe? Results of propensity score matching method," MPRA Paper 72831, University Library of Munich, Germany, revised 02 Aug 2016.
    3. Nguyen-Phung, Hang Thu, 2023. "The impact of maternal education on child mortality: Evidence from an increase tuition fee policy in Vietnam," International Journal of Educational Development, Elsevier, vol. 96(C).
    4. Gutierrez, Federico H., 2017. "Infant Health during the 1980s Peruvian Crisis and Long-term Economic Outcomes," World Development, Elsevier, vol. 89(C), pages 71-87.
    5. Nandita Saikia & Abhishek Singh & Domantas Jasilionis & Faujdar Ram, 2013. "Explaining the rural-urban gap in infant mortality in India," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(18), pages 473-506.
    6. Elisabetta Aurino & Whitney Schott & Jere R. Behrman & Mary Penny, 2019. "Nutritional Status from 1 to 15 Years and Adolescent Learning for Boys and Girls in Ethiopia, India, Peru, and Vietnam," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 899-931, December.

  2. Ruud H. Koning, 2008. "Efficiency of Sports Betting Markets," IASE Conference Papers 0806, International Association of Sports Economists.

    Cited by:

    1. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2017. "On the Efficiency of Racetrack Betting Market: A New Test for the Favorite-Longshot Bias," Working papers 2017rwp-106, Yonsei University, Yonsei Economics Research Institute.

  3. Koning, Ruud H., 2003. "Home advantage in speed skating: evidence from individual data," Research Report 03F38, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Mikael Priks, 2013. "Singin' in the Rain: A Study of Social Pressure on the Soccer Field," CESifo Working Paper Series 4481, CESifo.
    2. Bakkenbüll, Linn-Brit & Kiefer, Stephanie, 2014. "Are attractive female tennis players more successful? An empirical analysis," Discussion Papers of the Institute for Organisational Economics 12/2014, University of Münster, Institute for Organisational Economics.
    3. Enrique García-Ordóñez & Carlos Touriño-González & María del Carmen Iglesias-Pérez, 2017. "Effects of situational variables on offensive performance indicators in elite water polo," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(1-2), pages 164-176, March.
    4. Andrés Picazo-Tadeo & Francisco Gónzalez-Gómez & Jorge Guardiola Wanden-Berghe, 2011. "Referee home bias due to social pressure. Evidence from Spanish football," Working Papers 1119, Department of Applied Economics II, Universidad de Valencia.
    5. Aylin Seckin, 2006. "Home Advantage in Association Football: Evidence from Turkish Super League," EcoMod2006 272100080, EcoMod.

  4. Haan, Marco & Koning, Ruud H. & Witteloostuijn, Arjen van, 2002. "Market forces in European soccer," CCSO Working Papers 200211, University of Groningen, CCSO Centre for Economic Research.

    Cited by:

    1. Trudo Dejonghe & Wim Van Opstal, 2010. "Competitive balance between national leagues in European football after the Bosman Case," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 6(2), pages 41-61, Settembre.
    2. Trudo Dejonghe & Wim Van Opstal, 2008. "The consequences of an open labour market in a closed product market in the economic environment of European professional football," Working Papers 0830, International Association of Sports Economists;North American Association of Sports Economists.
    3. Leif Brandes & Egon Franck, 2005. "Who made Who? An Empirical Analysis of Competitive Balance in European Soccer Leagues," Working Papers 0004, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2006.
    4. Stefan Kesenne, 2007. "The Peculiar International Economics Of Professional Football In Europe," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(3), pages 388-399, July.
    5. Barajas, Angel, 2004. "Modelo de valoración de clubes de fútbol basado en los factores clave de su negocio [Valuation model for football clubs based on the key factors of their business]," MPRA Paper 13158, University Library of Munich, Germany.
    6. 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.
    7. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.
    8. Leitao, Joao & Armada, Manuel Rocha & Ferreira, Joaaquim, 2012. "Corruption and Co-Movements in European Listed Sport Companies: Did Calciocaos really matter?," MPRA Paper 42474, University Library of Munich, Germany.
    9. T. Dejonghe & W. Van Opstal, 2009. "The Consequences of an Open Labour Market in Separated Product Markets in European Professional Football," Review of Business and Economic Literature, Intersentia, vol. 54(4), pages 489-512, December.
    10. Antonio Marques, 2002. "Competitive Balance in the Portuguese premier league of professional soccer," Industrial Organization 0211025, University Library of Munich, Germany.
    11. Barajas, Angel & Fernández-Jardón, Carlos & Crolley, Liz, 2005. "Does sports performance influence revenues and economic results in Spanish football?," MPRA Paper 3234, University Library of Munich, Germany.

  5. Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta, 2001. "A simulation model for football championships," Research Report 01A65, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Sumit Sarkar & Sooraj Kamath, 2023. "Does luck play a role in the determination of the rank positions in football leagues? A study of Europe’s ‘big five’," Annals of Operations Research, Springer, vol. 325(1), pages 245-260, June.
    2. O'Leary, Daniel E., 2017. "Crowd performance in prediction of the World Cup 2014," European Journal of Operational Research, Elsevier, vol. 260(2), pages 715-724.
    3. Collingwood, James A.P. & Wright, Michael & Brooks, Roger J., 2023. "Simulating the progression of a professional snooker frame," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1286-1299.
    4. J Bekker & W Lotz, 2009. "Planning Formula One race strategies using discrete-event simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 952-961, July.
    5. P Dorian Owen & Nicholas King, 2013. "Competitive Balance Measures in Sports Leagues: The Effects of Variation in Season Length," NCER Working Paper Series 92, National Centre for Econometric Research.
    6. Scarf, Phil & Parma, Rishikesh & McHale, Ian, 2019. "On outcome uncertainty and scoring rates in sport: The case of international rugby union," European Journal of Operational Research, Elsevier, vol. 273(2), pages 721-730.
    7. Nicholas King & P. Dorian Owen & Rick Audas, 2010. "Playoff Uncertainty, Match Uncertainty and Attendance at Australian National Rugby League Matches," Working Papers 1007, University of Otago, Department of Economics, revised Aug 2010.
    8. Corona, Francisco, 2015. "On the importance of the probabilistic model in identifying the most decisive game in a tournament," DES - Working Papers. Statistics and Econometrics. WS 21174, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Nicolau, Juan L., 2011. "The decision to raise firm value through a sports-business exchange: How much are Real Madrid's goals worth to its president's company's goals?," European Journal of Operational Research, Elsevier, vol. 215(1), pages 281-288, November.
    10. Corona, Francisco & Forrest, David & Tena, J.D. & Wiper, Michael, 2019. "Bayesian forecasting of UEFA Champions League under alternative seeding regimes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 722-732.
    11. László Csató, 2020. "Optimal Tournament Design: Lessons From the Men’s Handball Champions League," Journal of Sports Economics, , vol. 21(8), pages 848-868, December.
    12. 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.
    13. Corona, Francisco & Forrest, David, 2017. "Evaluating significant effects from alternative seeding systems : a Bayesian approach, with an application to the UEFA Champions League," DES - Working Papers. Statistics and Econometrics. WS 24521, Universidad Carlos III de Madrid. Departamento de Estadística.
    14. Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.
    15. Constantinou Anthony Costa & Fenton Norman Elliott, 2013. "Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 37-50, March.
    16. Dries Goossens & Jeroen Beliën & Frits Spieksma, 2012. "Comparing league formats with respect to match importance in Belgian football," Annals of Operations Research, Springer, vol. 194(1), pages 223-240, April.
    17. Geenens Gery, 2010. "Who Deserved the 2008-2009 Belgian Football Champion Title? A Semiparametric Answer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(4), pages 1-31, October.
    18. Dagaev Dmitry & Rudyak Vladimir Yu., 2019. "Seeding the UEFA Champions League participants: evaluation of the reforms," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(2), pages 129-140, June.
    19. Hannes Rosenbusch & Jonas Röttger & David Rosenbusch, 2020. "Would Chuck Norris Certainly Win the Hunger Games? Simulating the Result Reliability of Battle Royale Games Through Agent-Based Models," Simulation & Gaming, , vol. 51(4), pages 461-476, August.
    20. 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.

  6. Koning, R.H., 2000. "An econometric evaluation of the firing of a coach on team performance," Research Report 00F40, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta, 2001. "A simulation model for football championships," Research Report 01A65, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    2. Vincenzo Scoppa, 2013. "Fatigue And Team Performance In Soccer: Evidence From The Fifa World Cup And The Uefa European Championship," Working Papers 201301, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    3. Bruinshoofd, Allard & Weel, Bas ter, 2001. "Manager to go? Performance dips reconsidered with evidence from Dutch football," Research Memorandum 018, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    4. Bernd Frick, 2007. "The Football Players' Labor Market: Empirical Evidence From The Major European Leagues," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(3), pages 422-446, July.
    5. B Frick & R Simmons, 2005. "The impact of managerial quality on organizational performance: evidence from German soccer," Working Papers 566927, Lancaster University Management School, Economics Department.
    6. Dieter J. Haas, 2003. "Technical Efficiency in the Major League Soccer," Journal of Sports Economics, , vol. 4(3), pages 203-215, August.
    7. Andres Giraldo & Juan Mendoza & Andrés Rosas & Dayana Tellez, 2013. "Managerial Turnover: Coach Dismissals and Team Performance in Colombia," Vniversitas Económica, Universidad Javeriana - Bogotá, vol. 0(0), pages 1-23, August.
    8. Bernd Frick & Robert Simmons, 2008. "The impact of managerial quality on organizational performance: evidence from German soccer," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 593-600.
    9. De Paola, Maria & Scoppa, Vincenzo, 2008. "The Effects of Managerial Turnover: Evidence from Coach Dismissals in Italian Soccer Teams," MPRA Paper 11030, University Library of Munich, Germany.
    10. Dieter J. Haas, 2003. "Productive efficiency of English football teams-a data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 403-410.

  7. Klaauw, B. van der & Koning, R.H., 2000. "Testing the normality assumption in the sample selection model with an application to travel demand," Research Report 00F37, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Faruk, Avinno, 2019. "Analysing the glass ceiling and sticky floor effects in Bangladesh: Evidence, extent and elements," MPRA Paper 92137, University Library of Munich, Germany.
    2. Kostov, Philip & Patton, Myles & Moss, Joan & McErlean, Seamus, 2006. "Does Gibrat’s law hold amongst dairy farmers in Northern Ireland?," MPRA Paper 3370, University Library of Munich, Germany.
    3. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 123-144, January.
    4. Gerard J. van den Berg & Aico van Vuuren, 2002. "The Effect of Search Frictions on Wages," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C1-2, International Conferences on Panel Data.
    5. Dylan Brewer & Alyssa Carlson, 2024. "Addressing sample selection bias for machine learning methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 383-400, April.
    6. Christian Bontemps & Nour Meddahi, 2002. "Testing Normality: A GMM Approach," CIRANO Working Papers 2002s-63, CIRANO.
    7. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
    8. Picchio, Matteo & Mussida, Chiara, 2011. "Gender wage gap: A semi-parametric approach with sample selection correction," Labour Economics, Elsevier, vol. 18(5), pages 564-578, October.
    9. Michael Pfaffermayr, 2014. "A GMM-Based Test for Normal Disturbances of the Heckman Sample Selection Model," Econometrics, MDPI, vol. 2(4), pages 1-18, October.
    10. Maarten Goos & Anna Salomons, 2017. "Measuring teaching quality in higher education: assessing selection bias in course evaluations," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(4), pages 341-364, June.
    11. Hiroaki Masuhara, 2008. "Semi-nonparametric count data estimation with an endogenous binary variable," Economics Bulletin, AccessEcon, vol. 3(42), pages 1-13.
    12. David Greenaway & Richard Kneller & Xufei Zhang, 2008. "Exchange Rates, Exports and FDI: A Microeconometric Analysis," Discussion Papers 08/09, University of Nottingham, GEP.
    13. David Dreyer Lassen, 2004. "The Effect of Information on Voter Turnout: Evidence from a Natural Experiment," EPRU Working Paper Series 04-03, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    14. David Greenaway & Richard Kneller & Xufei Zhang, 2012. "The effect of exchange rates on firm exports and the role of FDI," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(3), pages 425-447, September.
    15. Masuhara, Hiroaki, 2013. "Semiparametric duration analysis with an endogenous binary variable: An application to hospital stays," CIS Discussion paper series 597, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    16. Jean–Luc Arregle & Lucia Naldi & Mattias Nordqvist & Michael A. Hitt, 2012. "Internationalization of Family–Controlled Firms: A Study of the Effects of External Involvement in Governance," Entrepreneurship Theory and Practice, , vol. 36(6), pages 1115-1143, November.
    17. Hiroaki Masuhara, 2007. "Semi-nonparametric estimation of regression-based survival models," Economics Bulletin, AccessEcon, vol. 3(61), pages 1-12.
    18. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    19. Claudia PIGINI, 2012. "Of Butterflies and Caterpillars: Bivariate Normality in the Sample Selection Model," Working Papers 377, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    20. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.
    21. Eun-Ju Lee & David Eastwood & Jinkook Lee, 2004. "A Sample Selection Model of Consumer Adoption of Computer Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(3), pages 263-275, December.
    22. Seonho Shin, 2022. "To work or not? Wages or subsidies?: Copula-based evidence of subsidized refugees’ negative selection into employment," Empirical Economics, Springer, vol. 63(4), pages 2209-2252, October.
    23. Spiess, Martin & Kroh, Martin, 2010. "A Selection Model for Panel Data: The Prospects of Green Party Support," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(2), pages 172-188.
    24. Mark Clatworthy & Gerald Makepeace & Michael Peel, 2009. "Selection bias and the Big Four premium: New evidence using Heckman and matching models," Accounting and Business Research, Taylor & Francis Journals, vol. 39(2), pages 139-166.
    25. Lee Adkins & R. Carter Hill, 2007. "Bootstrap Inferences in Heteroscedastic Sample Selection Models: A Monte Carlo Investigation," Economics Working Paper Series 0710, Oklahoma State University, Department of Economics and Legal Studies in Business.
    26. Picchio, M. & Mussida, C., 2010. "Gender Wage Gap : A Semi-Parametric Approach With Sample Selection Correction," Other publications TiSEM b7a548d2-9ba3-43b6-8e87-a, Tilburg University, School of Economics and Management.
    27. Bumba Mukherjee & David Andrew Singer, 2010. "International Institutions and Domestic Compensation: The IMF and the Politics of Capital Account Liberalization," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 45-60, January.

  8. Ruud H Koning & Geert Ridder, 1999. "Discrete Choice and Stochastic Utility Maximization," Economics Working Paper Archive 413, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Marc Henry & Ismael Mourifie, 2011. "Euclidean Revealed Preferences: Testing the Spatial Voting Model," CIRJE F-Series CIRJE-F-822, CIRJE, Faculty of Economics, University of Tokyo.
    2. Mehdi Farsi, 2008. "Risk-Aversion and Willingness to Pay for Energy Efficient Systems in Rental Apartments," CEPE Working paper series 08-55, CEPE Center for Energy Policy and Economics, ETH Zurich.
    3. Antonini, Gianluca & Bierlaire, Michel & Weber, Mats, 2006. "Discrete choice models of pedestrian walking behavior," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 667-687, September.
    4. Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP39/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Mogens Fosgerau, 2004. "Investigating the distribution of the value of travel time savings," Urban/Regional 0411006, University Library of Munich, Germany.
    6. Simone Bertoli & Jesus Fernandez-Huertas Moraga & Francesc Ortega, 2010. "Crossing the Border: Self-selection, Earnings and Individual Migration Decisions," RF Berlin - CReAM Discussion Paper Series 1011, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    7. Jens Hougaard & Tue Tjur & Lars Østerdal, 2012. "On the meaningfulness of testing preference axioms in stated preference discrete choice experiments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 409-417, August.
    8. Fosgerau, Mogens & McFadden, Daniel & Bierlaire, Michel, 2010. "Choice probability generating functions," MPRA Paper 24214, University Library of Munich, Germany.
    9. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    10. Delle Site, Paolo & Salucci, Marco Valerio, 2013. "Transition choice probabilities and welfare analysis in random utility models with imperfect before–after correlation," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 215-242.
    11. Melo, Emerson, 2012. "A representative consumer theorem for discrete choice models in networked markets," Economics Letters, Elsevier, vol. 117(3), pages 862-865.
    12. Eymann, Angelika & Ronning, Gerd, 1992. "Microeconometric models of tourists' destination choice," Discussion Papers, Series II 171, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    13. Jens Leth Hougaard & Tue Tjur & Lars Peter Østerdal, 2006. "Testing Preference Axioms in Discrete Choice experiments: A Reappraisal," Discussion Papers 06-11, University of Copenhagen. Department of Economics.
    14. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.

  9. Koning, Ruud H., 1999. "The competitive balance in Dutch soccer," Research Report 99B04, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Sittl, Roman & Warnke, Arne Jonas, 2016. "Competitive balance and assortative matching in the German Bundesliga," ZEW Discussion Papers 16-058, ZEW - Leibniz Centre for European Economic Research.
    2. Young Hoon Lee & Rodney Fort, 2011. "Competitive Balance:Time Series Lessons from the English Premier League," Working Papers 1102, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.
    3. Scott Tainsky & Jason Winfree, 2010. "Short-Run Demand and Uncertainty of Outcome in Major League Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 37(3), pages 197-214, November.
    4. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.
    5. Antonio Marques, 2002. "Competitive Balance in the Portuguese premier league of professional soccer," Industrial Organization 0211025, University Library of Munich, Germany.
    6. Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.
    7. Budzinski, Oliver & Pawlowski, Tim, 2014. "The behavioural economics of competitive balance: Implications for league policy and championship management," Ilmenau Economics Discussion Papers 89, Ilmenau University of Technology, Institute of Economics.
    8. Padma Rao Sahib, 2015. "Status, Peer Influence, and Racio-ethnic Diversity in Times of Institutional Change: An Examination from European Labour Law," Journal of Business Ethics, Springer, vol. 126(2), pages 205-218, January.
    9. Haan Marco & Koning Ruud & Witteloostuijn Arjen van, 2012. "The Effects of Institutional Change in European Soccer," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 318-335, June.
    10. Gasparetto, Thadeu & Barajas, Angel, 2016. "Reanalisando a competitividade na indústria do futebol: diferença acumulada de pontos," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 56(3), May.
    11. Dafeng Xu, 2014. "Who Benefits from Globalization of Labor? Evidence from the 'Bosman Ruling'," ERSA conference papers ersa14p1089, European Regional Science Association.
    12. Ruud Koning, 2014. "Professional soccer in the Netherlands," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 20, pages 336-350, Edward Elgar Publishing.

  10. Butter, F. A. G. den & Delifotis, A. & Koning, R. H., 1997. "Preference shifts in consumer demand for beer and wine," Serie Research Memoranda 0052, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Giraud-Héraud, Eric & Surry, Yves, 2001. "Les réponses de la recherche aux nouveaux enjeux de l’économie viti-vinicole," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 60, pages 1-5.
    2. Giraud-Héraud Eric & Yves Surry, 2001. "Les réponses de la recherche aux nouveaux enjeux de l’économie viti-vinicole," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 60, pages 5-24.
    3. Eric Giraud-Héraud & Yves Surry, 2001. "Les réponses de la recherche aux nouveaux enjeux de l’économie viti-vinicole," Post-Print hal-01200932, HAL.

  11. Bas van der Klaauw & Ruud H. Koning, 1996. "Some Applications of Semi-Nonparametric Maximum Likelihood Estimation," Tinbergen Institute Discussion Papers 96-161/7, Tinbergen Institute.

    Cited by:

    1. Oscar Molina & Fabian Soria, 2006. "Factores Determinantes de la Probabilidad de Afiliación al Sistema de Pensiones en Bolivia," Development Research Working Paper Series 02/2006, Institute for Advanced Development Studies.
    2. Evelyne Valentine Setoun Sissinto-Gbenou & Ygue Patrice Adegbola & Segla Roch Cedrique Zossou & Baudelaire Yannick Fabius Kouton-Bognon & Gauthier Biaou, 2022. "Adoption and disadoption of the improved clay granary for maize storage: evidence from the northern and central regions of Benin," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1459-1474, December.
    3. Koning, Ruud H. & Ridder, Geert, 1997. "Rent assistance and housing demand," Journal of Public Economics, Elsevier, vol. 66(1), pages 1-31, October.

  12. Koning, R.H. & Ridder, G., 1993. "Rent Assistance and Housing Demand," Papers 544, Groningen State, Institute of Economic Research-.

    Cited by:

    1. Hochgürtel, S. & van Soest, A.H.O., 1996. "The Relation Between Financial and Housing Wealth of Dutch Households," Other publications TiSEM db5f1307-aa5a-4a4b-bec2-f, Tilburg University, School of Economics and Management.
    2. Hochguertel, Stefan & van Soest, Arthur, 2001. "The Relation between Financial and Housing Wealth: Evidence from Dutch Households," Journal of Urban Economics, Elsevier, vol. 49(2), pages 374-403, March.
    3. Blanco Mariana & Vargas Juan F., 2014. "Can SMS Technology Improve Low Take-up of Social Benefits?," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 20(1), pages 61-81, January.
    4. Dean Hyslop & David Maré, 2022. "The impact of the 2018 Families Package Accommodation Supplement area changes on housing outcomes," Working Papers 22_01, Motu Economic and Public Policy Research.
    5. Mark A. C. Kattenberg & Wolter H. J. Hassink, 2017. "Who Moves Out of Social Housing? The Effect of Rent Control on Housing Tenure Choice," De Economist, Springer, vol. 165(1), pages 43-66, March.
    6. van der Klaauw, Bas & van Ours, Jan C., 2003. "From welfare to work: does the neighborhood matter?," Journal of Public Economics, Elsevier, vol. 87(5-6), pages 957-985, May.
    7. Zantomio, Francesca, 2008. "The route to take-up: raising incentives or lowering barriers?," ISER Working Paper Series 2008-35, Institute for Social and Economic Research.
    8. Le Blanc, David, 2005. "Economic evaluation of housing subsidy systems: a methodology with application to Morocco," Policy Research Working Paper Series 3529, The World Bank.
    9. Chen, Jie, 2006. "The Dynamics of Housing Allowance Claims in Sweden: A discrete-time hazard analysis," Working Paper Series 2006:1, Uppsala University, Department of Economics.
    10. Momi Dahan & Udi Nisan, 2006. "Low Take-up Rates: The Role of Information," CESifo Working Paper Series 1829, CESifo.
    11. Jos Van Ommeren & Marnix Koopman, 2010. "Public Housing and the Value of Apartment Quality to Households," Tinbergen Institute Discussion Papers 10-085/3, Tinbergen Institute.
    12. Van Ommeren, Jos N. & Van der Vlist, Arno J., 2016. "Households' willingness to pay for public housing," Journal of Urban Economics, Elsevier, vol. 92(C), pages 91-105.
    13. Van Ommeren, Jos & Graaf-de Zijl, Marloes, 2013. "Estimating household demand for housing attributes in rent-controlled markets," Journal of Housing Economics, Elsevier, vol. 22(1), pages 11-19.
    14. Dahlia K. Remler & Jason E. Rachlin & Sherry A. Glied, 2001. "What can the take-up of other programs teach us about how to improve take-up of health insurance programs?," NBER Working Papers 8185, National Bureau of Economic Research, Inc.

Articles

  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.

    Cited by:

    1. Kevin Krieger & Justin Davis, 2024. "Examining the impact of visibility on market efficiency: lessons from movement in NFL betting lines," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 263-279, June.

  2. Sanne J. Joustra & Ruud H. Koning & Alex Krumer, 2021. "Order Effects in Elite Gymnastics," De Economist, Springer, vol. 169(1), pages 21-35, February.

    Cited by:

    1. Alex Krumer & Felix Otto & Tim Pawlowski, 2022. "Nationalistic bias among international experts: evidence from professional ski jumping," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 278-300, January.

  3. Thong Pham & Peter Kooreman & Ruud Koning & Doede Wiersma, 2013. "Gender patterns in Vietnam’s child mortality," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 303-322, January.
    See citations under working paper version above.
  4. Haan Marco & Koning Ruud & Witteloostuijn Arjen van, 2012. "The Effects of Institutional Change in European Soccer," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 318-335, June.

    Cited by:

    1. László Csató & Dóra Gréta Petróczy, 2024. "Bibliometric indices as a measure of performance and competitive balance in the knockout stage of the UEFA Champions League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(4), pages 961-988, December.
    2. Weber, Shlomo & Moreno-Tenero, Juan, 2019. "The interdependence of domestic and international success: the case of the UEFA Champions League," CEPR Discussion Papers 13927, C.E.P.R. Discussion Papers.
    3. 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.
    4. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.
    5. Ruud Koning, 2009. "Sport and Measurement of Competition," De Economist, Springer, vol. 157(2), pages 229-249, June.
    6. Klobučník Michal & Plešivčák Martin & Vrábeľ Milan, 2019. "Football clubs’ sports performance in the context of their market value and GDP in the European Union regions," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 45(45), pages 59-74, September.
    7. Ruud Koning, 2014. "Professional soccer in the Netherlands," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 20, pages 336-350, Edward Elgar Publishing.

  5. Medema, Lydian & Koning, Ruud H. & Lensink, Robert, 2009. "A practical approach to validating a PD model," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 701-708, April.

    Cited by:

    1. Rosen, Dan & Saunders, David, 2010. "Risk factor contributions in portfolio credit risk models," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 336-349, February.
    2. Dragoş Bolocan & Cristian Litan, 2011. "Estimating the Probability of Default with Applications in Provisioning the Portfolio of Clients of a Credit Institution," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 271-285, December.
    3. Christopoulos, Andreas D. & Barratt, Joshua G., 2016. "Credit risk findings for commercial real estate loans using the reduced form," Finance Research Letters, Elsevier, vol. 19(C), pages 228-234.
    4. Kritzinger, Nico & van Vuuren, Gary Wayne, 2021. "Non-capital calibration of bureau scorecards," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 260-271.
    5. Tsukahara, Fábio Yasuhiro & Kimura, Herbert & Sobreiro, Vinicius Amorim & Zambrano, Juan Carlos Arismendi, 2016. "Validation of default probability models: A stress testing approach," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 70-85.
    6. Christopoulos, Andreas D., 2017. "The composition of CMBS risk," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 215-239.
    7. Kroot, Jan & Giouvris, Evangelos, 2016. "Dutch mortgages: Impact of the crisis on probability of default," Finance Research Letters, Elsevier, vol. 18(C), pages 205-217.
    8. Aussenegg, Wolfgang & Resch, Florian & Winkler, Gerhard, 2011. "Pitfalls and remedies in testing the calibration quality of rating systems," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 698-708, March.
    9. Douw Gerbrand Breed & Niel van Jaarsveld & Carsten Gerken & Tanja Verster & Helgard Raubenheimer, 2021. "Development of an Impairment Point in Time Probability of Default Model for Revolving Retail Credit Products: South African Case Study," Risks, MDPI, vol. 9(11), pages 1-22, November.
    10. Floros, Ioannis & White, Joshua T., 2016. "Qualified residential mortgages and default risk," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 86-104.
    11. Nehrebecka Natalia, 2018. "An Evaluation of the Discriminatory Power of Selected Polish Bankruptcy Prediction Models As Part of the Validation Process," Financial Sciences. Nauki o Finansach, Sciendo, vol. 23(4), pages 63-88, December.
    12. Kavussanos, Manolis G. & Tsouknidis, Dimitris A., 2016. "Default risk drivers in shipping bank loans," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 71-94.
    13. Fitzpatrick, Trevor & Mues, Christophe, 2016. "An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market," European Journal of Operational Research, Elsevier, vol. 249(2), pages 427-439.

  6. Ruud Koning, 2009. "Sport and Measurement of Competition," De Economist, Springer, vol. 157(2), pages 229-249, June.

    Cited by:

    1. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    2. László Csató & Dóra Gréta Petróczy, 2024. "Bibliometric indices as a measure of performance and competitive balance in the knockout stage of the UEFA Champions League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(4), pages 961-988, December.
    3. Sittl, Roman & Warnke, Arne Jonas, 2016. "Competitive balance and assortative matching in the German Bundesliga," ZEW Discussion Papers 16-058, ZEW - Leibniz Centre for European Economic Research.
    4. Fort, Rodney & Maxcy, Joel & Diehl, Mark, 2016. "Uncertainty by regulation: Rottenberg׳s invariance principle," Research in Economics, Elsevier, vol. 70(3), pages 454-467.
    5. Ryan Rodenberg & Daniel Stone, 2011. "The Short and Long-Run Labor Market Effects of Age Eligibility Rules: Evidence from Women’s Professional Tennis," Journal of Labor Research, Springer, vol. 32(2), pages 181-198, June.
    6. Young Hoon Lee & Rodney Fort, 2011. "Competitive Balance:Time Series Lessons from the English Premier League," Working Papers 1102, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.
    7. Paolo Di Betta & Carlo Amenta, 2010. "A die-hard aristocracy: competitive balance in Italian soccer, 1929-2009," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 6(2), pages 13-40, Settembre.
    8. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.
    9. Tomi Ovaska & Albert J. Sumell, 2014. "Who Has The Advantage? An Economic Exploration of Winning in Men's Professional Tennis," The American Economist, Sage Publications, vol. 59(1), pages 34-51, May.
    10. Ryan A. Kent & Steven B. Caudill & Franklin G. Mixon, 2013. "Rules changes and competitive balance in European professional soccer: evidence from an event study approach," Applied Economics Letters, Taylor & Francis Journals, vol. 20(11), pages 1109-1112, July.
    11. Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.
    12. Budzinski, Oliver & Feddersen, Arne, 2019. "Measuring competitive balance in Formula One Racing," Ilmenau Economics Discussion Papers 121, Ilmenau University of Technology, Institute of Economics.
    13. Haan Marco & Koning Ruud & Witteloostuijn Arjen van, 2012. "The Effects of Institutional Change in European Soccer," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 318-335, June.
    14. Ruud Koning, 2014. "Professional soccer in the Netherlands," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 20, pages 336-350, Edward Elgar Publishing.

  7. Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta & Ridder, Geert, 2003. "A simulation model for football championships," European Journal of Operational Research, Elsevier, vol. 148(2), pages 268-276, July.
    See citations under working paper version above.
  8. Koning, Ruud H. & Sierksma, Gerard & van de Velde, Steef, 2003. "Introduction: Sport and Computers," European Journal of Operational Research, Elsevier, vol. 148(2), pages 231-232, July.

    Cited by:

    1. B. Jay Coleman, 2012. "Identifying the “Players” in Sports Analytics Research," Interfaces, INFORMS, vol. 42(2), pages 109-118, April.
    2. Hurley, W.J., 2009. "Equitable birthdate categorization systems for organized minor sports competition," European Journal of Operational Research, Elsevier, vol. 192(1), pages 253-264, January.

  9. R. H. Koning, 2003. "An econometric evaluation of the effect of firing a coach on team performance," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 555-564.

    Cited by:

    1. Kocher, Martin G. & Sutter, Matthias, 2010. "Introduction to special issue "The Economics and Psychology of Football"," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 155-157, April.
    2. de Dios Tena, Juan & Forrest, David, 2007. "Within-season dismissal of football coaches: Statistical analysis of causes and consequences," European Journal of Operational Research, Elsevier, vol. 181(1), pages 362-373, August.
    3. Flores, Ramón & Forrest, David & Tena, J.D., 2012. "Decision taking under pressure: Evidence on football manager dismissals in Argentina and their consequences," European Journal of Operational Research, Elsevier, vol. 222(3), pages 653-662.
    4. Oberhofer, Harald & Philippovich, Tassilo & Winner, Hannes, 2010. "Distance matters in away games: Evidence from the German football league," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 200-211, April.
    5. A-L. Balduck & A. Prinzie & M. Buelens, 2008. "The effectiveness of coach turnover and the effect on home team advantage, team quality and team ranking," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/535, Ghent University, Faculty of Economics and Business Administration.
    6. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    7. van Ours, J.C. & van Tuijl, M.A., 2014. "In-Season Head-Coach Dismissals and the Performance of Professional Football Teams," Other publications TiSEM 3e3b1dc7-5aae-495e-bf77-c, Tilburg University, School of Economics and Management.
    8. Christian Grund & Oliver Gurtler, 2005. "An empirical study on risk-taking in tournaments," Applied Economics Letters, Taylor & Francis Journals, vol. 12(8), pages 457-461.
    9. van Ours, J.C. & van Tuijl, M.A., 2014. "In-Season Head-Coach Dismissals and the Performance of Professional Football Teams," Discussion Paper 2014-058, Tilburg University, Center for Economic Research.
    10. Süssmuth Bernd & Wagner Stefan, 2012. "A Market’s Reward Scheme, Media Attention, and the Transitory Success of Managerial Change," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 258-278, June.
    11. Luc Arrondel & Richard Duhautois & Cédric Zimmer, 2022. "Within-season dismissals of football managers: evidence from the French Ligue 1 [Licenciements des entraîneurs de football en cours de saison et performances]," Post-Print halshs-03917462, HAL.
    12. Egon Franck & Stephan Nüesch & Jan Pieper, 2009. "Specific Human Capital as a Source of Superior Team Performance," Working Papers 0113, University of Zurich, Institute for Strategy and Business Economics (ISU).
    13. Antonio Samagaio & Eduardo Couto & Jorge Caiado, 2009. "Sporting, financial and stock market performance in English football: an empirical analysis of structural relationships," CEMAPRE Working Papers 0906, Centre for Applied Mathematics and Economics (CEMAPRE), School of Economics and Management (ISEG), Technical University of Lisbon.
    14. Kern, Markus & Süssmuth, Bernd, 2003. "Managerial Effiency in German Top League Soccer," Discussion Papers in Economics 5, University of Munich, Department of Economics.
    15. Raphael Flepp & Egon Franck, 2021. "The Performance Effects Of Wise And Unwise Managerial Dismissals," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 186-198, January.
    16. Rocha, Bruno de Paula & Sanches, Fábio A. Miessi & Souza, Igor Viveiros & da Silva, José Carlos Domingos, 2009. "Political Economy and Tenure of Coaches in Brazilian Soccer," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(2), December.
    17. Yvon Rocaboy & Marek Pavlik, 2020. "Performance Expectations of Professional Sport Teams and In-Season Head Coach Dismissals—Evidence from the English and French Men’s Football First Divisions," Economies, MDPI, vol. 8(4), pages 1-20, October.
    18. Besters, Lucas & van Ours, Jan & van Tuijl, Martin, 2016. "Effectiveness of in-season manager changes in English Premier League Football," Other publications TiSEM b48506e5-154b-470e-bae2-9, Tilburg University, School of Economics and Management.
    19. Vincenzo Scoppa, 2013. "Fatigue And Team Performance In Soccer: Evidence From The Fifa World Cup And The Uefa European Championship," Working Papers 201301, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    20. Adrian Bell & Chris Brooks & David Matthews & Charles Sutcliffe, 2011. "Over the Moon or Sick as a Parrot? The Effects of Football Results on a Club's Share Price," Post-Print hal-00709557, HAL.
    21. Gerd Muehlheusser & Sandra Schneemann & Dirk Sliwka, 2016. "The Impact Of Managerial Change On Performance: The Role Of Team Heterogeneity," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1128-1149, April.
    22. Claudio Detotto & Dimitri Paolini & J. Tena, 2017. "Do managerial skills matter? An analysis of the impact of managerial features on performance for Italian football," Post-Print hal-01972860, HAL.
    23. Bert Scholtens & Wijtze Peenstra, 2009. "Scoring on the stock exchange? The effect of football matches on stock market returns: an event study," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3231-3237.
    24. A. Balduck & M. Buelens, 2007. "Does sacking the coach help or hinder the team in the short term? Evidence from Belgian soccer," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/430, Ghent University, Faculty of Economics and Business Administration.
    25. Geyer, Hannah, 2008. "Auswechselverhalten im Fußball: Eine theoretische und empirische Analyse," IÖB-Diskussionspapiere 5/08, University of Münster, Institute for Economic Education.
    26. Markus Kern & Bernd Süssmuth, 2005. "Managerial Efficiency in German Top League Soccer: An Econometric Analysis of Club Performances On and Off the Pitch," German Economic Review, Verein für Socialpolitik, vol. 6(4), pages 485-506, November.
    27. Paul Holmes, 2011. "Win or Go Home: Why College Football Coaches Get Fired," Journal of Sports Economics, , vol. 12(2), pages 157-178, April.
    28. Carlos Gomez-Gonzalez & Helmut Dietl & Cornel Nesseler, 2019. "Does performance justify the underrepresentation of women coaches? Evidence from professional women’s soccer," Sport Management Review, Taylor & Francis Journals, vol. 22(5), pages 640-651, December.
    29. Paloma Escamilla-Fajardo & Mario Alguacil & Ana M. Gómez-Tafalla, 2021. "Effects of Entrepreneurial Orientation and Passion for Work on Performance Variables in Sports Clubs," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    30. Baert, Stijn & Amez, Simon, 2016. "No Better Moment to Score a Goal than Just Before Half Time? A Soccer Myth Statistically Tested," IZA Discussion Papers 9980, Institute of Labor Economics (IZA).
    31. W. David Allen, 2021. "Work Environment and Worker Performance: A View from the Goal Crease," Journal of Labor Research, Springer, vol. 42(3), pages 418-448, December.
    32. César Velázquez Guadarrama & Juan Martín Hernández Velázquez, 2022. "Cambio de director técnico en el fútbol mexicano. Evidencia de 2009 a 2018/Coach change in Mexican football. Evidence from 2009 to 2018," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 37(1), pages 149-170.
    33. M. A. Roach, 2013. "Mean reversion or a breath of fresh air? The effect of NFL coaching changes on team performance in the salary cap era," Applied Economics Letters, Taylor & Francis Journals, vol. 20(17), pages 1553-1556, November.
    34. KÉSENNE, Stefan, 2007. "Comparing management performances of Belgian football clubs," Working Papers 2007028, University of Antwerp, Faculty of Business and Economics.
    35. 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.
    36. Stefan Wagner, 2010. "Managerial succession and organizational performance-evidence from the German Soccer League," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 415-430.
    37. Vincenzo Scoppa, 2015. "Fatigue and Team Performance in Soccer," Journal of Sports Economics, , vol. 16(5), pages 482-507, June.
    38. Thomas (T.L.P.R.) Peeters & Stefan Szymanski & Marko Terviö, 2017. "The inefficient advantage of experience in the market for football managers," Tinbergen Institute Discussion Papers 17-116/VII, Tinbergen Institute.
    39. Maria De Paola & Vincenzo Scoppa, 2012. "The Effects of Managerial Turnover," Journal of Sports Economics, , vol. 13(2), pages 152-168, April.
    40. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    41. 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.
    42. Barajas, Angel & Fernández-Jardón, Carlos & Crolley, Liz, 2005. "Does sports performance influence revenues and economic results in Spanish football?," MPRA Paper 3234, University Library of Munich, Germany.
    43. Gilfix Zach & Meyerson James & Addona Vittorio, 2020. "Longevity differences in the tenures of American and foreign Major League Soccer managers," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(1), pages 17-26, March.
    44. Luca Ferri & Riccardo Macchioni & Marco Maffei & Annamaria Zampella, 2017. "Financial Versus Sports Performance: The Missing Link," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 1-36, February.
    45. Bas Weel, 2011. "Does Manager Turnover Improve Firm Performance? Evidence from Dutch Soccer, 1986–2004," De Economist, Springer, vol. 159(3), pages 279-303, September.
    46. van Ours, Jan C. & van Tuijl, Martin, 2014. "In-season head-coach dismissals and the performance of professional football teams," CEPR Discussion Papers 10191, C.E.P.R. Discussion Papers.
    47. Sanchez Santos Jose Manuel & Dopico Jesús & Castellanos Pablo, 2012. "Playing Success and Local Market Size in Spanish Football League: Can Small Cities Dream of Winning Teams?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(2), pages 1-23, June.
    48. Janina Kleinknecht & Daniel Würtenberger, 2022. "Information effects of managerial turnover on effort and performance: Evidence from the German Bundesliga," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 791-812, April.
    49. Frick, Bernd & Simmons, Robert, 2006. "Impact of Managerial Quality on Organizational Performance. Evidence from German Soccer," Efficiency Series Papers 2006/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    50. Julio Del Corral & Carlos Pestana Barros & Juan Prieto-Rodríguez, 2008. "The Determinants of Soccer Player Substitutions," Journal of Sports Economics, , vol. 9(2), pages 160-172, April.
    51. Lucas M. Besters & Jan C. Ours & Martin A. Tuijl, 2016. "Effectiveness of In-Season Manager Changes in English Premier League Football," De Economist, Springer, vol. 164(3), pages 335-356, September.
    52. Kern Markus & Süssmuth Bernd, 2005. "Managerial Efficiency in German Top League Soccer: An Econometric Analysis of Club Performances On and Off the Pitch," German Economic Review, De Gruyter, vol. 6(4), pages 485-506, December.

  10. Ruud H. Koning & Geert Ridder, 2003. "Discrete choice and stochastic utility maximization," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 1-27, June.
    See citations under working paper version above.
  11. van der Klaauw, Bas & Koning, Ruud H, 2003. "Testing the Normality Assumption in the Sample Selection Model with an Application to Travel Demand," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 31-42, January.
    See citations under working paper version above.
  12. Ruud H. Koning, 2001. "A comparison of different LaTeX programs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 81-92.

    Cited by:

    1. A. Talha Yalta & Riccardo Lucchetti, 2010. "The GNU/Linux Platform and Freedom Respecting Software for Economists," Working Papers 1005, TOBB University of Economics and Technology, Department of Economics.

  13. Koning, Ruud H. & Ridder, Geert, 1997. "Rent assistance and housing demand," Journal of Public Economics, Elsevier, vol. 66(1), pages 1-31, October.
    See citations under working paper version above.
  14. Koning, Ruud H. & Ridder, Geert, 1994. "On the compatibility of nested logit models with utility maximization : A comment," Journal of Econometrics, Elsevier, vol. 63(2), pages 389-396, August.

    Cited by:

    1. Antonini, Gianluca & Bierlaire, Michel & Weber, Mats, 2006. "Discrete choice models of pedestrian walking behavior," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 667-687, September.
    2. Batley, Richard & Hess, Stephane, 2016. "Testing for regularity and stochastic transitivity using the structural parameter of nested logit," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 355-376.
    3. Jaume Puig & Marc Sáez & Esther Martínez Garcia, 1998. "Health care provider choice in the case of patient-initiated contacts. An extended version of discrete choice of model demand," Economics Working Papers 308, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Kraft, Edwin R., 2002. "Scheduling railway freight delivery appointments using a bid price approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 145-165, February.
    5. Kajal Lahiri & Jian Gao, 2001. "Bayesian Analysis of Nested Logit Model by Markov Chain Monte Carlo," Discussion Papers 01-14, University at Albany, SUNY, Department of Economics.
    6. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
    7. Eymann, Angelika & Ronning, Gerd, 1996. "Microeconometric models of tourists' destination choise," Tübinger Diskussionsbeiträge 84, University of Tübingen, School of Business and Economics.
    8. Roy Allen, 2024. "Exogenous Consideration and Extended Random Utility," Papers 2405.13945, arXiv.org.
    9. Eymann, Angelika & Ronning, Gerd, 1997. "Microeconometric models of tourists' destination choice," Regional Science and Urban Economics, Elsevier, vol. 27(6), pages 735-761, November.

  15. T.J. Wansbeek & R.H. Koning, 1991. "Measurement error and panel data1," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 45(2), pages 85-92, June.

    Cited by:

    1. Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.
    2. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).
    3. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    4. Erik Biørn, 2002. "Handling the measurement error problem by means of panel data: Moment methods applied on firm data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-1, International Conferences on Panel Data.
    5. Biørn, Erik & Han, Xuehui, 2012. "Panel Data Dynamics and Measurement Errors: GMM Bias, IV Validity and Model Fit – A Monte Carlo Study," Memorandum 27/2012, Oslo University, Department of Economics.
    6. Ramses ABUL NAGA & Jaya KRISHNAKUMAR, 1999. "Panel Data Estimation of the Intergenerational Correlation of Incomes," Cahiers de Recherches Economiques du Département d'économie 9910, Université de Lausanne, Faculté des HEC, Département d’économie.
    7. Gabriel Montes-Rojas, 2011. "Quantile Regression with Classical Additive Measurement Errors," Economics Bulletin, AccessEcon, vol. 31(4), pages 2863-2868.
    8. Galvao Jr, A. F. & Montes-Rojas, G., 2009. "Instrumental variables quantile regression for panel data with measurement errors," Working Papers 09/06, Department of Economics, City University London.
    9. Erik Biørn, 2000. "Panel Data With Measurement Errors: Instrumental Variables And Gmm Procedures Combining Levels And Differences," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 391-424.
    10. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    11. Paterno, Elizabeth Martha, 1997. "Econometric analysis of measurement error in panel data," ISU General Staff Papers 1997010108000013019, Iowa State University, Department of Economics.

Chapters

  1. Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.

    Cited by:

    1. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.

Books

  1. Plácido Rodríguez & Stefan Késenne & Ruud Koning (ed.), 2015. "The Economics of Competitive Sports," Books, Edward Elgar Publishing, number 15770.

    Cited by:

    1. Roșca Vlad I., 2017. "The Europeanisation of Romanian football: What do UEFA country coefficients reveal?," Management & Marketing, Sciendo, vol. 12(4), pages 652-673, December.

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