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Young Hoon Lee

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. Seung Chan Ahn & Young Hoon Lee, 2011. "Beauty and Productivity:The Case of the Ladies Professional Golf Association," Working Papers 1119, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2011.

    Mentioned in:

    1. The Sharapova Effect
      by ? in Freakonomics on 2012-08-27 21:02:35

Working papers

  1. Young Hoon Lee & Yongdai Kim & Sara Kim, 2016. "A Bias-Corrected Estimator of Competitive Balance in Sports Leagues," Working Papers 1611, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Sang Hun Sung & Doo-Seung Hong & Soo Young Sul, 2020. "How We Can Enhance Spectator Attendance for the Sustainable Development of Sport in the Era of Uncertainty: A Re-Examination of Competitive Balance," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    2. Hayley Jang & Young Hoon Lee, 2017. "Estimation of Within-Season Competitive Balance Using STATA," Working Papers 1702, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Alexander John Bond & Francesco Addesa, 2020. "Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015," Journal of Sports Economics, , vol. 21(1), pages 20-43, January.
    4. Young Hoon Lee & Rodney Fort, 2022. "Division Play and Outcome Uncertainty in Sports Leagues," Working Papers 2204, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Qi Ge & Brad R. Humphreys & Alexander Eisert, 2022. "Vertical Integration and Competitive Balance in Professional Sports: Evidence from Minor League Baseball," Working Papers 22-07, Department of Economics, West Virginia University.
    6. Avila-Cano, Antonio & Owen, P. Dorian & Triguero-Ruiz, Francisco, 2023. "Measuring competitive balance in sports leagues that award bonus points, with an application to rugby union," European Journal of Operational Research, Elsevier, vol. 309(2), pages 939-952.
    7. Young Hoon Lee & Yongdai Kim & Sara Kim, 2018. "Unbiased Estimation of Competitive Balance in Sports Leagues with Unbalanced Schedules," Working Papers 1801, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    8. András Gyimesi, 2020. "League Ranking Mobility Affects Attendance: Evidence From European Soccer Leagues," Journal of Sports Economics, , vol. 21(8), pages 808-828, December.
    9. Rodney Fort & Young H. Lee, 2020. "Transition to an unbalanced Sports League schedule: adding the analysis of outcome uncertainty," Applied Economics, Taylor & Francis Journals, vol. 52(51), pages 5629-5638, November.
    10. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    11. Dorian Owen & Caitlin Owen, 2017. "Simulation Evidence on Herfindahl-Hirschman Indices as Measures of Competitive Balance," Working Papers 1715, University of Otago, Department of Economics, revised Dec 2017.

  2. Young Hoon Lee, 2016. "Common Factors in Major League Baseball Game Attendance," Working Papers 1604, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    2. Gregory A. Falls & Paul A. Natke & Linlan Xiao, 2022. "College football attendance in the long run: The Football Championship Subdivision," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2172-2183, September.
    3. Adam C. Merkle & Catherine Hessick & Britton R. Leggett & Larry Goehrig & Kenneth O’Connor, 2020. "Exploring the components of brand equity amid declining ticket sales in Major League Baseball," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 149-164, September.
    4. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.

  3. Seung C.Ahn & Young H. Lee, 2014. "Major League Baseball Attendance: Long-term Analysis Using Factor Models," Working Papers 1402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    2. Judah Brown & Brandon J. Sheridan, 2020. "The Impact of National Anthem Protests on National Football League Television Ratings," Journal of Sports Economics, , vol. 21(8), pages 829-847, December.
    3. Adam C. Merkle & Catherine Hessick & Britton R. Leggett & Larry Goehrig & Kenneth O’Connor, 2020. "Exploring the components of brand equity amid declining ticket sales in Major League Baseball," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 149-164, September.
    4. Young H. Lee, 2018. "Common Factors in Major League Baseball Game Attendance," Journal of Sports Economics, , vol. 19(4), pages 583-598, May.
    5. Hayley Jang & Doyoung Kim & Young Hoon Lee, 2021. "Uncertainty of Outcome Hypothesis: Theoretical Development and Empirical Evaluation," Working Papers 2105, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    6. Ryśnik Jakub, 2019. "Identification and Evaluation of Factors Influencing Sports Fan Attendance at International Events: Volleyball Case Study," Turyzm / Tourism, Sciendo, vol. 29(2), pages 123-135, December.
    7. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.
    8. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.

  4. Young Hoon Lee & Hayley Jang, 2014. "Outcome Uncertainty, Governance Structure, and Attendance: A Study of the Korean Professional Football League," Working Papers 1401, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Luc Arrondel & Richard Duhautois, 2019. "Are French Football Fans Sensitive to Outcome Uncertainty?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 513, pages 5-26.
    2. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.

  5. Young Hoon Lee & Sungwon Lee, 2012. "Stochastic Frontier Models with Threshold Efficiency," Working Papers 1205, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    Cited by:

    1. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    2. Young Hoon Lee & Hayley Jang & Sun Ho Hwang, 2015. "Market Competition and Threshold Efficiency in the Sports Industry," Journal of Sports Economics, , vol. 16(8), pages 853-870, December.

  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.

    Cited by:

    1. Richard C.K. Burdekin & Michael Franklin, 2015. "Transfer Spending in the English Premier League: The Haves and the Have Nots," National Institute Economic Review, National Institute of Economic and Social Research, vol. 232(1), pages 4-17, May.
    2. Hayley Jang & Young Hoon Lee & Rodney Fort, 2019. "Winning In Professional Team Sports: Historical Moments," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 103-120, January.
    3. Craig A. Depken & Peter A. Groothuis & Mark C. Strazicich, 2020. "Evolution Of Community Deterrence: Evidence From The National Hockey League," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 289-303, April.
    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. P. Dorian Owen, 2013. "Measurement of Competitive Balance and Uncertainty of Outcome," Working Papers 1311, University of Otago, Department of Economics, revised Aug 2013.
    6. Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    7. David J. Berri & Christian Deutscher & Arturo Galletti, 2015. "Born in the USA: National Origin Effects on Time Allocation in US and Spanish Professional Basketball," National Institute Economic Review, National Institute of Economic and Social Research, vol. 232(1), pages 41-50, May.
    8. Craig A. Depken II & Peter A. Groothuis & Mark C. Strazicich, 2016. "The Rise and Fall of the Enforcer in the National Hockey League," Working Papers 16-12, Department of Economics, Appalachian State University.
    9. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    10. Vincent (Vincent Peter) Hogan & Patrick Massey, 2020. "Professional Rugby on the Celtic Fringe," Working Papers 202003, School of Economics, University College Dublin.
    11. John Considine & Liam Gallagher, 2018. "Competitive balance in a quasi-double knockout tournament," Applied Economics, Taylor & Francis Journals, vol. 50(18), pages 2048-2055, April.
    12. Fatih Karanfil, 2017. "An empirical analysis of European football rivalries based on on-field performances," Post-Print hal-01549787, HAL.
    13. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    14. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.
    15. Misael Martinez & Jonathan Willner, 2017. "Competitive Balance and Consumer Demand in the English Football League," Applied Finance and Accounting, Redfame publishing, vol. 3(2), pages 49-60, August.

  7. Young Hoon Lee, 2011. "Efficiency Comparison of International Golfers in the LPGA," Working Papers 1103, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2011.

    Cited by:

    1. Young Hoon Lee & Ilhyeok Park & Joon-Ho Kang & Younghan Lee, 2013. "An economic analysis of the sudden influx of Korean female golfers into the LPGA," Chapters, in: Eva Marikova Leeds & Michael A. Leeds (ed.), Handbook on the Economics of Women in Sports, chapter 18, pages 388-409, Edward Elgar Publishing.

  8. Seung Chan Ahn & Young Hoon Lee, 2011. "Beauty and Productivity:The Case of the Ladies Professional Golf Association," Working Papers 1119, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2011.

    Cited by:

    1. Jay L Zagorsky, 2016. "Are Blondes Really Dumb?," Economics Bulletin, AccessEcon, vol. 36(1), pages 401-410.
    2. Kseniya Bortnikova & Tomas Havranek & Zuzana Irsova, 2024. "Beauty and Professional Success: A Meta-Analysis," Working Papers IES 2024/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2024.
    3. Daniel S. Hamermesh & Andrew Leigh, 2021. "“Beauty Too Rich for Use”*: Billionaires’ Assets and Attractiveness," NBER Working Papers 29361, National Bureau of Economic Research, Inc.
    4. Eiji Yamamura & Ryohei Hayashi & Yoshiro Tsutsui & Fumio Ohtake, 2018. "Racers f attractive looks, popularity, and performance: How do speedboat racers react to fans f expectations?," Discussion Papers in Economics and Business 18-28, Osaka University, Graduate School of Economics.
    5. Guodong Guo & Brad R. Humphreys & Mohammad Iqbal Nouyed & Yang Zhou, 2019. "Attractive or Aggressive? A Face Recognition and Machine Learning Approach for Estimating Returns to Visual Appearance," Working Papers 19-01, Department of Economics, West Virginia University.
    6. Peng, Langchuan & Wang, Xi & Ying, Shanshan, 2020. "The heterogeneity of beauty premium in China: Evidence from CFPS," Economic Modelling, Elsevier, vol. 90(C), pages 386-396.
    7. Rachel Lau & Brooke Krause, 2022. "Preferences for perceived attractiveness in modern dance," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(3), pages 483-517, September.

  9. Young Hoon Lee & Ilhyeok Park, 2010. "Happiness and Physical Activity in Special Populations:Evidence from Korean Survey Data," Working Papers 1002, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.

    Cited by:

    1. Di Bartolomeo Giovanni & Stefano Papa, 2017. "The effects of physical activity on social interactions: The case of trust and trustworthiness," wp.comunite 00134, Department of Communication, University of Teramo.
    2. Pawlowski, Tim & Downward, Paul & Rasciute, Simona, 2014. "Does national pride from international sporting success contribute to well-being? An international investigation," Sport Management Review, Elsevier, vol. 17(2), pages 121-132.
    3. Bruno S. Frey & Anthony Gullo, 2021. "Does Sports Make People Happier, or Do Happy People More Sports?," Journal of Sports Economics, , vol. 22(4), pages 432-458, May.
    4. Paul Downward & Simona Rasciute, 2011. "An Economic Analysis of the Subjective Health and Well-being of Physical Activity," Chapters, in: Plácido Rodríguez & Stefan Késenne & Brad R. Humphreys (ed.), The Economics of Sport, Health and Happiness, chapter 2, Edward Elgar Publishing.
    5. Haifang Huang & Brad R. Humphreys, 2011. "Sports Participation and Happiness: Evidence from US Micro Data," Chapters, in: Plácido Rodríguez & Stefan Késenne & Brad R. Humphreys (ed.), The Economics of Sport, Health and Happiness, chapter 8, Edward Elgar Publishing.
    6. Hakjun Lee & Shik Heo, 2021. "Arts and Cultural Activities and Happiness: Evidence from Korea," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1637-1651, August.
    7. Johannes Klement, 2021. "Identifying Stabilising Effects on Survey Based Life Satisfaction Using Quasi-maximum Likelihood Estimation," Journal of Happiness Studies, Springer, vol. 22(8), pages 3611-3629, December.
    8. Hernández-Pizarro, Helena M. & Maynou, Laia, 2024. "The effects of physical activity prescription on mental health: evidence from primary care," LSE Research Online Documents on Economics 125665, London School of Economics and Political Science, LSE Library.
    9. J. Guan & JdD Tena, 2018. "Estimating the Effect of Physical Exercise on Juveniles' Health Status and Subjective Well-Being in China," Working Paper CRENoS 201811, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. Joel Maxcy & Pamela Wicker & Joachim Prinz, 2019. "Happiness as a Reward for Torture: Is Participation in a Long-Distance Triathlon a Rational Choice?," Journal of Sports Economics, , vol. 20(2), pages 177-197, February.
    11. Fernando Lera-López & Andrea Ollo-López & José Manuel Sánchez-Santos, 2017. "How Does Physical Activity Make You Feel Better? The Mediational Role of Perceived Health," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(3), pages 511-531, September.
    12. Todd McFall & John Whitehead, 2024. "Measuring the Impact of the COVID-19 Pandemic on Elite Swimming Performance," Journal of Sports Economics, , vol. 25(5), pages 634-656, June.
    13. Ricardo Pagan, 2020. "Sport Participation, Life Satisfaction and Domains of Satisfaction among People with Disabilities," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 893-911, July.
    14. Joshua Ray Tanzer & Lisa Weyandt, 2020. "Imaging Happiness: Meta Analysis and Review," Journal of Happiness Studies, Springer, vol. 21(7), pages 2693-2734, October.

  10. Young Hoon Lee, 2009. "Estimation of Temporal Variations in Fan Loyalty: Application of Multi-Factor Models," Working Papers 0902, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.

    Cited by:

    1. Seung C. Ahn & Young H. Lee, 2014. "Major League Baseball Attendance," Journal of Sports Economics, , vol. 15(5), pages 451-477, October.

  11. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.

    Cited by:

    1. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    2. Neil Longley & Nelson J. Lacey, 2012. "The “Second†Season," Journal of Sports Economics, , vol. 13(5), pages 471-493, October.
    3. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    4. P. Dorian Owen, 2013. "Measurement of Competitive Balance and Uncertainty of Outcome," Working Papers 1311, University of Otago, Department of Economics, revised Aug 2013.
    5. Seung C. Ahn & Young H. Lee, 2014. "Major League Baseball Attendance," Journal of Sports Economics, , vol. 15(5), pages 451-477, October.
    6. Anthony C. Krautmann & Young Hoon Lee & Kevin Quinn, 2011. "Playoff Uncertainty and Pennant Races," Journal of Sports Economics, , vol. 12(5), pages 495-514, October.
    7. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    8. 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.
    9. John Considine & Liam Gallagher, 2018. "Competitive balance in a quasi-double knockout tournament," Applied Economics, Taylor & Francis Journals, vol. 50(18), pages 2048-2055, April.
    10. 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.
    11. Rodney Fort & Young Hoon Lee, 2013. "Major League Baseball attendance time series: league policy lessons," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 2, pages 35-50, Edward Elgar Publishing.
    12. 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.

  12. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.

    Cited by:

    1. van den Oever, Koen & Beerens, Bart, 2021. "Does task-related conflict mediate the board gender diversity–organizational performance relationship?," European Management Journal, Elsevier, vol. 39(4), pages 445-455.
    2. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
    3. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    4. Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 233(1), pages 209-236.
    5. Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
    6. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    7. Hayakawa, Kazuhiko, 2016. "Identification problem of GMM estimators for short panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 139(C), pages 22-26.
    8. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    9. Bluszcz, Julia & Valente, Marica, 2020. "The Economic Costs of Hybrid Wars: The Case of Ukraine," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest Ar, pages 1-25.
    10. Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
    11. Subal C. Kumbhakar & Robin Sickles & Hung-Jen Wang, 2023. "Introduction," Empirical Economics, Springer, vol. 64(6), pages 2467-2474, June.
    12. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    13. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    14. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    15. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    16. G. Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure Endogeneity," Monash Econometrics and Business Statistics Working Papers 14/15, Monash University, Department of Econometrics and Business Statistics.
    17. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    18. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    19. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    20. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    22. Shasha Liu & Robin Sickles, 2021. "The agency problem revisited: a structural analysis of managerial productivity and CEO compensation in large US commercial banks," Empirical Economics, Springer, vol. 60(1), pages 391-418, January.
    23. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    24. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    26. Artūras Juodis & Vasilis Sarafidis, 2018. "Fixed T dynamic panel data estimators with multifactor errors," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 893-929, September.
    27. Piracha, Matloob & Tani, Massimiliano & Tchuente, Guy, 2017. "Immigration Policy and Remittance Behaviour," GLO Discussion Paper Series 94, Global Labor Organization (GLO).
    28. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    29. Westerlund, Joakim, 2019. "Testing additive versus interactive effects in fixed-T panels," Economics Letters, Elsevier, vol. 174(C), pages 5-8.
    30. Oualid Bada & Alois Kneip & Dominik Liebl & Tim Mensinger & James Gualtieri & Robin C. Sickles, 2021. "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters," Papers 2109.10950, arXiv.org.
    31. Li, Si & Perez, M. Fabricio, 2021. "The evolution of pay premiums for managerial attributes," Journal of Corporate Finance, Elsevier, vol. 69(C).
    32. Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
    33. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    34. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    35. Wei Tian, 2023. "Individual Causal Inference Using Panel Data With Multiple Outcomes," Papers 2306.01969, arXiv.org.
    36. Artūras Juodis & Vasilis Sarafidis, 2022. "A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 1-15, January.
    37. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Kerda Varaku & Robin Sickles, 2023. "Public subsidies and innovation: a doubly robust machine learning approach leveraging deep neural networks," Empirical Economics, Springer, vol. 64(6), pages 3121-3165, June.
    39. Kazuhiko Hayakawa & Vanessa Smith & M. Hashem Pesaran, 2014. "Transformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with interactive effects," Cambridge Working Papers in Economics 1412, Faculty of Economics, University of Cambridge.
    40. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    41. Mohamed Chakroun & Naima Chrid & Sami Saafi, 2021. "Does export upgrading really matter to economic growth? Evidence from panel data for high‐, middle‐ and low‐income countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5584-5609, October.
    42. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    43. Yana Petrova & Joakim Westerlund, 2020. "Fixed effects demeaning in the presence of interactive effects in treatment effects regressions and elsewhere," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 960-964, November.
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    45. Young H. Lee, 2018. "Common Factors in Major League Baseball Game Attendance," Journal of Sports Economics, , vol. 19(4), pages 583-598, May.
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    69. Julia Bluszcz & Marica Valente, 2019. "The War in Europe: Economic Costs of the Ukrainian Conflict," Discussion Papers of DIW Berlin 1804, DIW Berlin, German Institute for Economic Research.
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    73. Bai, Jushan, 2013. "Likelihood approach to dynamic panel models with interactive effects," MPRA Paper 50267, University Library of Munich, Germany.
    74. Chen, Stacey H. & Chen, Jennjou & Chuang, Hongwei & Lin, Tzu-Hsin, 2023. "Physicians Treating Physicians: Relational and Informational Advantages in Treatment and Survival," IZA Discussion Papers 16048, Institute of Labor Economics (IZA).
    75. Ahn, Seung C. & Perez, M. Fabricio, 2010. "GMM estimation of the number of latent factors: With application to international stock markets," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 783-802, September.
    76. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    77. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
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    79. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 49/13, Institute for Fiscal Studies.
    80. Juodis, Artūras & Karabiyik, Hande & Westerlund, Joakim, 2021. "On the robustness of the pooled CCE estimator," Journal of Econometrics, Elsevier, vol. 220(2), pages 325-348.
    81. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    82. Gao, Z. & Pesaran, M. H., 2022. "Identification and Estimation of Categorical Random Coeficient Models," Cambridge Working Papers in Economics 2228, Faculty of Economics, University of Cambridge.
    83. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
    84. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    85. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    86. Perez, Marcos & Ahn, Seung Chan, 2007. "GMM Estimation of the Number of Latent Factors," MPRA Paper 4862, University Library of Munich, Germany.
    87. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
    88. Wu, Jianhong & Li, Jinchang, 2014. "Testing for individual and time effects in panel data models with interactive effects," Economics Letters, Elsevier, vol. 125(2), pages 306-310.
    89. Duygun, Meryem & Kutlu, Levent & Sickles, Robin C., 2014. "Measuring Productivity and Efficiency: A Kalman," Working Papers 15-010, Rice University, Department of Economics.
    90. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
    91. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    92. Jiangtao Duan & Wei Gao & Hao Qu & Hon Keung Tony, 2019. "Subspace Clustering for Panel Data with Interactive Effects," Papers 1909.09928, arXiv.org, revised Feb 2021.
    93. Hayakawa, Kazuhiko, 2018. "Corrected standard errors for optimal minimum distance estimator," Economics Letters, Elsevier, vol. 167(C), pages 5-9.
    94. Ayden Higgins, 2021. "Fixed $T$ Estimation of Linear Panel Data Models with Interactive Fixed Effects," Papers 2110.05579, arXiv.org.
    95. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    96. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    97. Tsionas, Mike G. & Mamatzakis, Emmanuel, 2019. "Further results on estimating inefficiency effects in stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1157-1164.
    98. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
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    100. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    101. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.
    102. Nicholas Brown, 2023. "Information Equivalence among Transformations of Semi‐parametric Nonlinear Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(6), pages 1341-1361, December.
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    105. KiHoon Jimmy Hong & Bin Peng & Xiaohui Zhang, 2014. "Capturing the Impact of Latent Industry-Wide Shocks with Dynamic Panel Model," Research Paper Series 347, Quantitative Finance Research Centre, University of Technology, Sydney.
    106. Fedotenkov, Igor & Idrisov, Georgy, 2021. "A supply-demand model of public sector size," Economic Systems, Elsevier, vol. 45(2).
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  13. Trenton Smith & Young H. Lee, 2006. "Why are Americans Addicted to Baseball? An Empirical Analysis of Fandom in Korea and the U.S," Working Papers 2006-05, School of Economic Sciences, Washington State University.

    Cited by:

    1. Dong C. Won & Young H. Lee, 2008. "Optimal dynamic pricing for sports games with habitual attendance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(8), pages 639-655.
    2. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.

  14. Young Hoon Lee & Sangho Kim, 2004. "The Productivity Debate of East Asia Revisited: A Stochastic Frontier Approach," Econometric Society 2004 Far Eastern Meetings 776, Econometric Society.

    Cited by:

    1. Maria Baquero Forero & Takanori Ida & Toshifumi Kuroda, 2015. "Institutions and Cultural Heterogeneity as Determinants of National Income: A Random-coefficients Stochastic Frontier Model," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 710-724, August.
    2. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    3. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    4. Sangho Kim & Mazlina Shafi'i, 2009. "Factor Determinants of Total Factor Productivity Growth in Malaysian Manufacturing Industries: a decomposition analysis," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 23(1), pages 48-65, May.
    5. Rachida El Mehdi & Christian M. Hafner, 2021. "A Starting Note: Panel Stochastic Frontier Analysis with Dependent Error Terms," International Econometric Review (IER), Econometric Research Association, vol. 13(2), pages 24-40, June.
    6. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    7. Kim, Sangho & Park, Donghyun & Park, Jong-Ho, 2009. "Productivity Growth in Different Firm Sizes in the Malaysian Manufacturing Sector: An Empirical Investigation," ADB Economics Working Paper Series 176, Asian Development Bank.
    8. Sangho Kim, 2014. "Estimating Productivity Growth In The Korean Economy Without Restrictive Assumptions," Contemporary Economic Policy, Western Economic Association International, vol. 32(2), pages 520-532, April.
    9. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    10. Heru Margono & Subhash Sharma & Kevin Sylwester & Usama Al-Qalawi, 2009. "Technical efficiency and productivity analysis in Indonesian provincial economies," Applied Economics, Taylor & Francis Journals, vol. 43(6), pages 663-672.
    11. W. R. Garside, 2012. "Japan’s Great Stagnation," Books, Edward Elgar Publishing, number 14624.

  15. Chan Ahn, S. & Lee, Y.H., 1994. "GMM Estimation of a Panel Data Regression Model with Time-Varying Individual Effects," Papers 9401, Michigan State - Econometrics and Economic Theory.

    Cited by:

    1. Massimiliano Agovino & Agnese Rapposelli, 2015. "Agglomeration externalities and technical efficiency in Italian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 1803-1822, September.
    2. Martin Ravallion, 2003. "Externalities in Rural Development: Evidence for China," WIDER Working Paper Series DP2003-54, World Institute for Development Economic Research (UNU-WIDER).
    3. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.

Articles

  1. Jin Lee & Young Hoon Lee, 2021. "Development of a Win Production Function and Evaluation of Cross-Sectional Dependence," Journal of Sports Economics, , vol. 22(4), pages 412-431, May.

    Cited by:

    1. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.

  2. Rodney Fort & Young H. Lee, 2020. "Transition to an unbalanced Sports League schedule: adding the analysis of outcome uncertainty," Applied Economics, Taylor & Francis Journals, vol. 52(51), pages 5629-5638, November.

    Cited by:

    1. Hayley Jang & Doyoung Kim & Young Hoon Lee, 2021. "Uncertainty of Outcome Hypothesis: Theoretical Development and Empirical Evaluation," Working Papers 2105, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Young Hoon Lee & Rodney Fort, 2022. "Division Play and Outcome Uncertainty in Sports Leagues," Working Papers 2204, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Reilly, Barry & Witt, Robert, 2024. "The effect of league design on club revenues in the Scottish Premier League," LSE Research Online Documents on Economics 123046, London School of Economics and Political Science, LSE Library.
    4. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.

  3. Lee Young Hoon & Kim Yongdai & Kim Sara, 2019. "Competitive balance with unbalanced schedules," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 239-260, September.

    Cited by:

    1. Young Hoon Lee & Rodney Fort, 2022. "Division Play and Outcome Uncertainty in Sports Leagues," Working Papers 2204, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. András Gyimesi, 2020. "League Ranking Mobility Affects Attendance: Evidence From European Soccer Leagues," Journal of Sports Economics, , vol. 21(8), pages 808-828, December.
    3. Rodney Fort & Young H. Lee, 2020. "Transition to an unbalanced Sports League schedule: adding the analysis of outcome uncertainty," Applied Economics, Taylor & Francis Journals, vol. 52(51), pages 5629-5638, November.
    4. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.

  4. Hayley Jang & Young Hoon Lee & Rodney Fort, 2019. "Winning In Professional Team Sports: Historical Moments," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 103-120, January.

    Cited by:

    1. Young Hoon Lee & Rodney Fort, 2022. "Division Play and Outcome Uncertainty in Sports Leagues," Working Papers 2204, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    3. Brad R. Humphreys & Scott Schuh & Corey J.M. Williams, "undated". "Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data," Working Papers 24-02, Department of Economics, West Virginia University.

  5. Young Hoon Lee & Yongdai Kim & Sara Kim, 2019. "A Bias-Corrected Estimator of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 20(4), pages 479-508, May.
    See citations under working paper version above.
  6. Rodney Fort & Young Hoon Lee & Taeyeon Oh, 2019. "Quantile Insights on Market Structure and Worker Salaries: The Case of Major League Baseball," Journal of Sports Economics, , vol. 20(8), pages 1066-1087, December.

    Cited by:

    1. Jin Lee & Young Hoon Lee, 2021. "Development of a Win Production Function and Evaluation of Cross-Sectional Dependence," Journal of Sports Economics, , vol. 22(4), pages 412-431, May.
    2. Brian M. Mills & Rodney Fort, 2023. "Performance Quality Preference Heterogeneity in Major League Baseball," Journal of Sports Economics, , vol. 24(3), pages 352-373, April.
    3. Roman Vavrek, 2021. "An Analysis of Usage of a Multi-Criteria Approach in an Athlete Evaluation: An Evidence of NHL Attackers," Mathematics, MDPI, vol. 9(12), pages 1-22, June.

  7. Young H. Lee, 2018. "Common Factors in Major League Baseball Game Attendance," Journal of Sports Economics, , vol. 19(4), pages 583-598, May.
    See citations under working paper version above.
  8. Jigyu Chung & Young Hoon Lee & Joon-Ho Kang, 2016. "Ex Ante and Ex Post Expectations of Outcome Uncertainty and Baseball Television Viewership," Journal of Sports Economics, , vol. 17(8), pages 790-812, December.

    Cited by:

    1. Brad R. Humphreys & Thomas J. Miceli, 2019. "The Peculiar Preferences of Sports Fans: Toward a Preference-Based Motivation for the Uncertainty of Outcome Hypothesis," Journal of Sports Economics, , vol. 20(6), pages 782-796, August.
    2. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2017. "Game Outcome Uncertainty and the Demand for International Football Games: Evidence From the German TV Market," Journal of Media Economics, Taylor & Francis Journals, vol. 30(1), pages 31-45, January.
    3. Adam C. Merkle & Catherine Hessick & Britton R. Leggett & Larry Goehrig & Kenneth O’Connor, 2020. "Exploring the components of brand equity amid declining ticket sales in Major League Baseball," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 149-164, September.
    4. Taeyeon Oh & Seomgyun Lee & Hayley Jang, 2023. "Outcome Uncertainty and ESports Viewership: The Case of Overwatch League," Journal of Sports Economics, , vol. 24(8), pages 971-992, December.
    5. Uribe, Rodrigo & Buzeta, Cristian & Manzur, Enrique & Alvarez, Isabel, 2021. "Determinants of football TV audience: The straight and ancillary effects of the presence of the local team on the FIFA world cup," Journal of Business Research, Elsevier, vol. 127(C), pages 454-463.
    6. Jyh-How Huang & Chung-Yi Lu & Yu-Chia Hsu, 2023. "Potential Baseball Fan Engagement: The Determinants of a New Television Audience in the Chinese Professional Baseball League during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    7. Caruso, Raul & Addesa, Francesco & Di Domizio, Marco, 2016. "The Determinants Of The TV Demand Of Soccer: Empirical Evidence On Italian Serie A For The Period 2008-2015," MPRA Paper 70189, University Library of Munich, Germany.
    8. Brad R. Humphreys & Levi Perez, 2017. "Loss Aversion, Upset Preference, and Sports Television Viewing Audience Size," Working Papers 17-30, Department of Economics, West Virginia University.
    9. Babatunde Buraimo & David Forrest & Ian G. McHale & J.D. Tena, 2020. "Unscripted Drama: Soccer Audience Response To Suspense, Surprise, And Shock," Economic Inquiry, Western Economic Association International, vol. 58(2), pages 881-896, April.
    10. Francisco Triguero‐Ruiz & Antonio Avila‐Cano, 2023. "On competitive balance in the group stage of the UEFA Champions League," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(3), pages 231-248, July.
    11. Yan Feng & Jinbao Wang & Yeujun Yoon, 2020. "Online Webcast Demand vs. Offline Spectating Channel Demand (Stadium and TV) in the Professional Sports League," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    12. Brown, Katie M. & Salaga, Steven, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Elsevier, vol. 21(4), pages 377-390.

  9. Hayley Jang & Young Hoon Lee, 2016. "A Business Analysis of Asian Baseball Leagues," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 95-112, January.

    Cited by:

    1. Sang Hun Sung & Doo-Seung Hong & Soo Young Sul, 2020. "How We Can Enhance Spectator Attendance for the Sustainable Development of Sport in the Era of Uncertainty: A Re-Examination of Competitive Balance," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    2. Eiji Yamamura, 2016. "Comment on “A Business Analysis of Asian Baseball Leagues”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 115-116, January.
    3. Takanobu Nakajima, 2016. "Comment on “A Business Analysis of Asian Baseball Leagues”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 113-114, January.
    4. Renata V. Klafke & Paulo M. Gomes & Demétrio Mendonça Junior & Simone R. Didonet & Ana M. Toaldo, 2021. "Engagement in social networks: a multi-method study in non-profits organizations," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 18(2), pages 295-315, June.
    5. Young Hoon Lee & Yongdai Kim & Sara Kim, 2019. "A Bias-Corrected Estimator of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 20(4), pages 479-508, May.
    6. Yan Feng & Jinbao Wang & Yeujun Yoon, 2020. "Online Webcast Demand vs. Offline Spectating Channel Demand (Stadium and TV) in the Professional Sports League," Sustainability, MDPI, vol. 12(23), pages 1-18, November.

  10. Young Hoon Lee & Hayley Jang & Rodney Fort, 2016. "Just looking for a good game: competitive balance in the Korean Professional Baseball League," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3104-3115, July.

    Cited by:

    1. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    2. Taeyeon Oh & Seomgyun Lee & Hayley Jang, 2023. "Outcome Uncertainty and ESports Viewership: The Case of Overwatch League," Journal of Sports Economics, , vol. 24(8), pages 971-992, December.
    3. Hayley Jang & Doyoung Kim & Young Hoon Lee, 2021. "Uncertainty of Outcome Hypothesis: Theoretical Development and Empirical Evaluation," Working Papers 2105, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

  11. Young Hoon Lee & Hayley Jang & Sun Ho Hwang, 2015. "Market Competition and Threshold Efficiency in the Sports Industry," Journal of Sports Economics, , vol. 16(8), pages 853-870, December.

    Cited by:

    1. Hayley Jang & Young Hoon Lee & Rodney Fort, 2019. "Winning In Professional Team Sports: Historical Moments," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 103-120, January.

  12. Seung C. Ahn & Young H. Lee, 2014. "Major League Baseball Attendance," Journal of Sports Economics, , vol. 15(5), pages 451-477, October.

    Cited by:

    1. Judah Brown & Brandon J. Sheridan, 2020. "The Impact of National Anthem Protests on National Football League Television Ratings," Journal of Sports Economics, , vol. 21(8), pages 829-847, December.
    2. Adam C. Merkle & Catherine Hessick & Britton R. Leggett & Larry Goehrig & Kenneth O’Connor, 2020. "Exploring the components of brand equity amid declining ticket sales in Major League Baseball," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 149-164, September.
    3. Young H. Lee, 2018. "Common Factors in Major League Baseball Game Attendance," Journal of Sports Economics, , vol. 19(4), pages 583-598, May.
    4. Hayley Jang & Doyoung Kim & Young Hoon Lee, 2021. "Uncertainty of Outcome Hypothesis: Theoretical Development and Empirical Evaluation," Working Papers 2105, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.
    6. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.

  13. Seung Chan Ahn & Young Hoon Lee, 2014. "Beauty And Productivity: The Case Of The Ladies Professional Golf Association," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 155-168, January.
    See citations under working paper version above.
  14. Sungwon Lee & Young Lee, 2014. "Stochastic frontier models with threshold efficiency," Journal of Productivity Analysis, Springer, vol. 42(1), pages 45-54, August.
    See citations under working paper version above.
  15. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    See citations under working paper version above.
  16. Young Hoon Lee & Rodney Fort, 2012. "Competitive Balance: Time Series Lessons from the E nglish P remier L eague," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(3), pages 266-282, July.
    See citations under working paper version above.
  17. Ilhyeok Park & Young Hoon Lee, 2012. "Efficiency Comparison of International Golfers in the LPGA," Journal of Sports Economics, , vol. 13(4), pages 378-392, August.
    See citations under working paper version above.
  18. Young Lee, 2011. "Is the small-ball strategy effective in winning games? A stochastic frontier production approach," Journal of Productivity Analysis, Springer, vol. 35(1), pages 51-59, February.

    Cited by:

    1. Rodney Fort & Young Hoon Lee & Taeyeon Oh, 2019. "Quantile Insights on Market Structure and Worker Salaries: The Case of Major League Baseball," Journal of Sports Economics, , vol. 20(8), pages 1066-1087, December.
    2. Jin Lee & Young Hoon Lee, 2021. "Development of a Win Production Function and Evaluation of Cross-Sectional Dependence," Journal of Sports Economics, , vol. 22(4), pages 412-431, May.
    3. Lisa A. Giddings & Michael Haupert, 2019. "Earning Like a Woman: Salaries versus Marginal Revenue Products in the AAGBPL and MLB: 1947-1952," Journal of Sports Economics, , vol. 20(2), pages 198-217, February.
    4. 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.
    5. Brad R. Humphreys & Hyunwoong Pyun, 2015. "Monoposony Exploitation in Professional Sport: Evidence from Major League Baseball Position Players, 2000-2011," Working Papers 15-48, Department of Economics, West Virginia University.
    6. Ilhyeok Park & Young Hoon Lee, 2012. "Efficiency Comparison of International Golfers in the LPGA," Journal of Sports Economics, , vol. 13(4), pages 378-392, August.

  19. Anthony C. Krautmann & Young Hoon Lee & Kevin Quinn, 2011. "Playoff Uncertainty and Pennant Races," Journal of Sports Economics, , vol. 12(5), pages 495-514, October.

    Cited by:

    1. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    2. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    3. E. Woodrow Eckard, 2017. "The Uncertainty-of-Outcome Hypothesis and the Industrial Organization of Sports Leagues," Journal of Sports Economics, , vol. 18(3), pages 298-317, April.
    4. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    5. Ira Horowitz, 2018. "Competitive Balance in the NBA Playoffs," The American Economist, Sage Publications, vol. 63(2), pages 215-227, October.
    6. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.

  20. Bernd Frick & Young Lee, 2011. "Temporal variations in technical efficiency: evidence from German soccer," Journal of Productivity Analysis, Springer, vol. 35(1), pages 15-24, February.

    Cited by:

    1. R. Todd Jewell, 2020. "NCAA Expenditure and Efficiency: Analyzing Generated and Allocated Revenue in the Football Bowl Subdivision," Journal of Sports Economics, , vol. 21(4), pages 363-390, May.
    2. 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.
    3. Todd Jewell, 2014. "Major league soccer in the USA," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 21, pages 351-367, Edward Elgar Publishing.
    4. R. Todd Jewell, 2017. "The Effect of Marquee Players on Sports Demand," Journal of Sports Economics, , vol. 18(3), pages 239-252, April.
    5. Ilhyeok Park & Young Hoon Lee, 2012. "Efficiency Comparison of International Golfers in the LPGA," Journal of Sports Economics, , vol. 13(4), pages 378-392, August.
    6. Eremin, G., 2018. "Analysis of Factors Influencing the Pricing of Transfers in European Professional Football," Journal of the New Economic Association, New Economic Association, vol. 40(4), pages 174-183.
    7. Emilio Gómez-Déniz & Nancy Dávila-Cárdenes & Alejandro Leiva-Arcas & María J. Martínez-Patiño, 2021. "Measuring Efficiency in the Summer Olympic Games Disciplines: The Case of the Spanish Athletes," Mathematics, MDPI, vol. 9(21), pages 1-15, October.
    8. Miquel Carreras-Simó & Jaume García, 2022. "Offensive/Defensive Talent and Sporting Success in Football: Evidence From the Big Five European Leagues," Journal of Sports Economics, , vol. 23(3), pages 251-276, April.
    9. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    10. Anna Bykova & Dennis Coates, 2022. "Professional team sporting success: do economic and personal freedom provide competitive advantages?," Economics of Governance, Springer, vol. 23(3), pages 323-358, December.
    11. Dennis Coates & Bernd Frick & Todd Jewell, 2016. "Superstar Salaries and Soccer Success," Journal of Sports Economics, , vol. 17(7), pages 716-735, October.

  21. Young Hoon Lee & Ilhyeok Park, 2010. "Happiness and Physical Activity in Special Populations: Evidence From Korean Survey Data," Journal of Sports Economics, , vol. 11(2), pages 136-156, April.
    See citations under working paper version above.
  22. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.

    Cited by:

    1. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    3. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    4. Yip, Tsz Leung & Sun, Xin Yu & Liu, John J., 2011. "Group and individual heterogeneity in a stochastic frontier model: Container terminal operators," European Journal of Operational Research, Elsevier, vol. 213(3), pages 517-525, September.
    5. Lin, Winston T. & Chen, Yueh H. & Shao, Benjamin B.M., 2015. "Assessing the business values of information technology and e-commerce independently and jointly," European Journal of Operational Research, Elsevier, vol. 245(3), pages 815-827.
    6. Wheat, Phill & Smith, Andrew, 2012. "Is the choice of (t−T) in Battese and Coelli (1992) type stochastic frontier models innocuous? Observations and generalisations," Economics Letters, Elsevier, vol. 116(3), pages 291-294.
    7. Lin, Winston T. & Chuang, Chia-Hung, 2013. "Investigating and comparing the dynamic patterns of the business value of information technology over time," European Journal of Operational Research, Elsevier, vol. 228(1), pages 249-261.
    8. Zhiguang ZHANG & Haiqing HU & Winston T. LIN, 2019. "Analyzing the Impacts of Unobserved National Characteristics on Economic Performance of Information Technology based on a Partial Adjustment Approach With Dynamic and Variable Speed of Adjustment," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-142, March.
    9. Tsionas, Mike G., 2017. "Microfoundations for stochastic frontiers," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1165-1170.
    10. Lin, Winston T. & Kao, Ta-Wei (Daniel), 2014. "The partial adjustment valuation approach with dynamic and variable speeds of adjustment to evaluating and measuring the business value of information technology," European Journal of Operational Research, Elsevier, vol. 238(1), pages 208-220.
    11. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.

  23. Young Hoon Lee, 2009. "Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model Comments," Journal of Sports Economics, , vol. 10(6), pages 651-659, December.

    Cited by:

    1. R. Todd Jewell, 2017. "Technical efficiency with multi-output, heterogeneous production: a latent class, distance function model of english football," Journal of Productivity Analysis, Springer, vol. 48(1), pages 37-50, August.

  24. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Journal of Sports Economics, , vol. 10(3), pages 219-235, June.
    See citations under working paper version above.
  25. Young H. Lee & Trenton G. Smith, 2008. "Why Are Americans Addicted To Baseball? An Empirical Analysis Of Fandom In Korea And The United States," Contemporary Economic Policy, Western Economic Association International, vol. 26(1), pages 32-48, January.

    Cited by:

    1. Dong C. Won & Young H. Lee, 2008. "Optimal dynamic pricing for sports games with habitual attendance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(8), pages 639-655.
    2. Rodney Fort & Young Hoon Lee & Taeyeon Oh, 2019. "Quantile Insights on Market Structure and Worker Salaries: The Case of Major League Baseball," Journal of Sports Economics, , vol. 20(8), pages 1066-1087, December.
    3. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    4. 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.
    5. Qi Ge & Brad R. Humphreys & Kun Zhou, 2020. "Are Fair Weather Fans Affected by Weather? Rainfall, Habit Formation, and Live Game Attendance," Journal of Sports Economics, , vol. 21(3), pages 304-322, April.
    6. Scott Tainsky & Jason A. Winfree, 2010. "Discrimination and Demand: The Effect of International Players on Attendance in Major League Baseball," Social Science Quarterly, Southwestern Social Science Association, vol. 91(1), pages 117-128, March.
    7. Se-Hyuk Kim & James W Mjelde & Tae-Kyun Kim & Choong-Ki Lee & Byunggil Chun, 2023. "Willingness to pay for attributes of Templestay and implications on marginal utility of different meditation forms," Tourism Economics, , vol. 29(4), pages 1100-1120, June.
    8. Smith, Trenton G., 2023. "Endocrine state is the physical manifestation of subjective beliefs," Journal of Economic Psychology, Elsevier, vol. 96(C).
    9. Hayley Jang & Young Hoon Lee, 2016. "A Business Analysis of Asian Baseball Leagues," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 95-112, January.
    10. Seth R. Gitter & Thomas A. Rhoads, 2011. "Top Prospects and Minor League Baseball Attendance," Journal of Sports Economics, , vol. 12(3), pages 341-351, June.
    11. Jye-Shyan Wang & Chih-Fu Cheng & Wen-Jhan Jane, 2014. "Buying success or redistributing payment: bidirectional causality in Korean Professional Baseball League," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 247-260, December.

  26. Rodney Fort & Young Hoon Lee & David Berri, 2008. "Race, Technical Efficiency, and Retention: The Case of NBA Coaches," International Journal of Sport Finance, Fitness Information Technology, vol. 3(2), pages 84-97, May.

    Cited by:

    1. Rodney Paul & Andrew Weinbach & Justin Mattingly, 2018. "Tests of Racial Discrimination in a Simple Financial Market: Managers in Major League Baseball," IJFS, MDPI, vol. 6(1), pages 1-10, March.

  27. Young Lee & Rodney Fort, 2008. "Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 281-295, December.

    Cited by:

    1. Sung, Hojun & Mills, Brian M., 2018. "Estimation of game-level attendance in major league soccer: Outcome uncertainty and absolute quality considerations," Sport Management Review, Elsevier, vol. 21(5), pages 519-532.
    2. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    3. Babatunde Buraimo & Rob Simmons, 2015. "Uncertainty of Outcome or Star Quality? Television Audience Demand for English Premier League Football," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 449-469, November.
    4. Russell Ormiston, 2014. "Attendance Effects of Star Pitchers in Major League Baseball," Journal of Sports Economics, , vol. 15(4), pages 338-364, August.
    5. Jigyu Chung & Young Hoon Lee & Joon-Ho Kang, 2016. "Ex Ante and Ex Post Expectations of Outcome Uncertainty and Baseball Television Viewership," Journal of Sports Economics, , vol. 17(8), pages 790-812, December.
    6. Mara Konjer & Henk Erik Meier & Katrin Wedeking, 2017. "Consumer Demand for Telecasts of Tennis Matches in Germany," Journal of Sports Economics, , vol. 18(4), pages 351-375, May.
    7. 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.
    8. Martin Grossmann & Helmut Dietl & Markus Lang, 2007. "Revenue Sharing and Competitive Balance in a Dynamic Contest Model," Working Papers 0070, University of Zurich, Institute for Strategy and Business Economics (ISU), revised May 2009.
    9. Schreyer, Dominik & Schmidt, Sascha L. & Torgler, Benno, 2016. "Against all odds? Exploring the role of game outcome uncertainty in season ticket holders’ stadium attendance demand," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 192-217.
    10. Craig A. Depken & Peter A. Groothuis & Mark C. Strazicich, 2020. "Evolution Of Community Deterrence: Evidence From The National Hockey League," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 289-303, April.
    11. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    12. 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.
    13. Seung C. Ahn & Young H. Lee, 2014. "Major League Baseball Attendance," Journal of Sports Economics, , vol. 15(5), pages 451-477, October.
    14. Hayley Jang & Doyoung Kim & Young Hoon Lee, 2021. "Uncertainty of Outcome Hypothesis: Theoretical Development and Empirical Evaluation," Working Papers 2105, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    15. Anthony C. Krautmann & Young Hoon Lee & Kevin Quinn, 2011. "Playoff Uncertainty and Pennant Races," Journal of Sports Economics, , vol. 12(5), pages 495-514, October.
    16. Scott Tainsky & Jie Xu & Yilun Zhou, 2014. "Qualifying the Game Uncertainty Effect," Journal of Sports Economics, , vol. 15(3), pages 219-236, June.
    17. Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    18. Dmitry I. Ignatov & Sergey I. Nikolenko & Taimuraz Abaev & Jonas Poelmans, 2014. "Improving Quality Of Service For Radio Station Hosting: An Online Recommender System Based On Information Fusion," HSE Working papers WP BRP 31/MAN/2014, National Research University Higher School of Economics.
    19. Craig A. Depken II & Peter A. Groothuis & Mark C. Strazicich, 2016. "The Rise and Fall of the Enforcer in the National Hockey League," Working Papers 16-12, Department of Economics, Appalachian State University.
    20. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    21. Young Hoon Lee & Yongdai Kim & Sara Kim, 2019. "A Bias-Corrected Estimator of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 20(4), pages 479-508, May.
    22. Liam J. A. Lenten, 2017. "A Formal Test for Asymmetry in the Uncertainty of Outcome Hypothesis," Journal of Sports Economics, , vol. 18(3), pages 253-270, April.
    23. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.
    24. Petr A. Parshakov & Kseniya O. Baydina, 2017. "Brands or Uncertainty? An Empirical Test of the Uncertainty of Outcome Hypothesis in Russian Football," HSE Working papers WP BRP 163/EC/2017, National Research University Higher School of Economics.
    25. Scott Tainsky & Monika Stodolska, 2010. "Population Migration and Team Loyalty in Professional Sports," Social Science Quarterly, Southwestern Social Science Association, vol. 91(3), pages 801-815, September.
    26. Thadeu Gasparetto & Carlos Fernandez-Jardon & Angel Barajas, 2014. "Brand Teams And Distribution Of Wealth In Brazilian State Championships," HSE Working papers WP BRP 30/MAN/2014, National Research University Higher School of Economics.
    27. Jakee, Keith & Kenneally, Martin & Dineen, Declan, 2022. "Scheduling slots and league objectives: An empirical analysis of Australia’s AFL," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 359-371.
    28. Young Hoon Lee & Hayley Jang & Rodney Fort, 2016. "Just looking for a good game: competitive balance in the Korean Professional Baseball League," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3104-3115, July.
    29. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.
    30. 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.
    31. Brown, Katie M. & Salaga, Steven, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Elsevier, vol. 21(4), pages 377-390.
    32. Evan Osborne, 2012. "Upsets," Journal of Sports Economics, , vol. 13(3), pages 314-320, June.
    33. Lei Xinrong & Humphreys Brad R., 2013. "Game importance as a dimension of uncertainty of outcome," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 25-36, March.

  28. Dong C. Won & Young H. Lee, 2008. "Optimal dynamic pricing for sports games with habitual attendance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(8), pages 639-655.

    Cited by:

    1. Bednall, David Hugh & Valos, Michael & Adam, Stewart & McLeod, Colin, 2012. "Getting Generation Y to attend: Friends, interactivity and half-time entertainment," Sport Management Review, Elsevier, vol. 15(1), pages 80-90.
    2. Qi Ge & Brad R. Humphreys & Kun Zhou, 2020. "Are Fair Weather Fans Affected by Weather? Rainfall, Habit Formation, and Live Game Attendance," Journal of Sports Economics, , vol. 21(3), pages 304-322, April.

  29. Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.

    Cited by:

    1. Stephen A. Bergman & Trevon D. Logan, 2020. "Revenue per Quality of College Football Recruit," Journal of Sports Economics, , vol. 21(6), pages 571-592, August.
    2. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
    3. Mario Lackner, 2010. "And most of us go Pro in something other than Sports - Hiring Preferences and their Effect on the Labor Market for Collegiate Football Players," Economics working papers 2010-10, Department of Economics, Johannes Kepler University Linz, Austria.
    4. R. Todd Jewell, 2020. "NCAA Expenditure and Efficiency: Analyzing Generated and Allocated Revenue in the Football Bowl Subdivision," Journal of Sports Economics, , vol. 21(4), pages 363-390, May.
    5. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
    6. Fabíola Zambom-Ferraresi & Belén Iráizoz & Fernando Lera-López, 2019. "Are football managers as efficient as coaches? Performance analysis with and inputs in the Premier league," Applied Economics, Taylor & Francis Journals, vol. 51(3), pages 303-314, January.
    7. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," 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. 22(4), pages 623-645, December.
    8. Young Hoon Lee & Hayley Jang & Sun Ho Hwang, 2015. "Market Competition and Threshold Efficiency in the Sports Industry," Journal of Sports Economics, , vol. 16(8), pages 853-870, December.
    9. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    10. Andrés Picazo-Tadeo & Francisco González-Gómez, 2010. "Does playing several competitions influence a team’s league performance? Evidence from Spanish professional football," 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. 18(3), pages 413-432, September.
    11. Young Hoon Lee, 2009. "Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model Comments," Journal of Sports Economics, , vol. 10(6), pages 651-659, December.
    12. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    13. Nikolaos, Chatzistamoulou & Theodoros, Antonakis & Konstantinos, Kounetas, 2020. "Salary cap and National Basketball Association teams' productive performance. A two stage Data Envelopment Analysis approach under a metatechnology framework," MPRA Paper 98811, University Library of Munich, Germany.
    14. Nikos Chatzistamoulou & Kounetas Kostas & Antonakis Theodor, 2022. "Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity," Journal of Sports Economics, , vol. 23(2), pages 123-155, February.
    15. Goodall, Amanda H. & Kahn, Lawrence M. & Oswald, Andrew J., 2011. "Why do leaders matter? A study of expert knowledge in a superstar setting," Journal of Economic Behavior & Organization, Elsevier, vol. 77(3), pages 265-284, March.
    16. PEETERS, Thomas & SZYMANSKI, Stefan, 2012. "Vertical restraints in soccer: Financial fair play and the English Premier League," Working Papers 2012028, University of Antwerp, Faculty of Business and Economics.
    17. Andrew W. Nutting, 2010. "Travel Costs in the NBA Production Function," Journal of Sports Economics, , vol. 11(5), pages 533-548, October.
    18. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    19. Ozmen M. Utku, 2012. "Foreign Player Quota, Experience and Efficiency of Basketball Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.
    20. Julio del Corral & Andrés Maroto & Andrés Gallardo, 2017. "Are Former Professional Athletes and Native Better Coaches? Evidence From Spanish Basketball," Journal of Sports Economics, , vol. 18(7), pages 698-719, October.
    21. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.

  30. Rodney Fort & Young Hoon Lee, 2007. "Structural Change, Competitive Balance, And The Rest Of The Major Leagues," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 519-532, July.

    Cited by:

    1. Sang Hun Sung & Doo-Seung Hong & Soo Young Sul, 2020. "How We Can Enhance Spectator Attendance for the Sustainable Development of Sport in the Era of Uncertainty: A Re-Examination of Competitive Balance," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    2. Oliver Guertler & Markus Lang & Tim Pawlowski, 2011. "On the Release of Players to National Teams," Working Papers 0045, University of Zurich, Center for Research in Sports Administration (CRSA).
    3. Helmut Dietl & Markus Lang & Alexander Rathke, 2009. "The Combined Effect of Salary Restrictions and Revenue Sharing in Sports Leagues," Working Papers 0102, University of Zurich, Institute for Strategy and Business Economics (ISU), revised Jan 2010.
    4. Helmut Dietl & Tobias Duschl & Egon Franck & Markus Lang, 2009. "A Contest Model of a Professional Sports League with Two-Sided Markets," Working Papers 0912, International Association of Sports Economists;North American Association of Sports Economists.
    5. Hayley Jang & Young Hoon Lee & Rodney Fort, 2019. "Winning In Professional Team Sports: Historical Moments," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 103-120, January.
    6. Hyung Jin Kim & Byoungwook Min, 2019. "Power and Public Space: A Historical Observation of Seoul Plaza," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    7. Helmut Dietl & Tobias Duschl & Markus Lang, 2010. "Gehaltsobergrenzen und Luxussteuern: Erkenntnisse aus dem professionellen Mannschaftssport," Working Papers 0136, University of Zurich, Institute for Strategy and Business Economics (ISU).
    8. Yvan J. Kelly, 2008. "Cost Reduction, Competitive Balance, and the Scheduling of Back-to-Back Games in the NBA," Working Papers 0810, International Association of Sports Economists;North American Association of Sports Economists.
    9. Helmut Dietl & Tobias Duschl & Markus Lang, 2011. "Executive Pay Regulation: What Regulators, Shareholders, and Managers Can Learn from Major Sports Leagues," Working Papers 1106, International Association of Sports Economists;North American Association of Sports Economists, revised Mar 2011.
    10. Kenneth Linna & Evan Moore & Rodney Paul & Andrew Weinbach, 2014. "The Effects of the Clock and Kickoff Rule Changes on Actual and Market-Based Expected Scoring in NCAA Football," IJFS, MDPI, vol. 2(2), pages 1-14, April.
    11. Fort, Rodney & Maxcy, Joel & Diehl, Mark, 2016. "Uncertainty by regulation: Rottenberg׳s invariance principle," Research in Economics, Elsevier, vol. 70(3), pages 454-467.
    12. Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    13. 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.
    14. Liam J. A. Lenten, 2015. "Measurement of Competitive Balance in Conference and Divisional Tournament Design," Journal of Sports Economics, , vol. 16(1), pages 3-25, January.
    15. Lee, Travis, 2020. "Competitive Balance in the National Hockey League after Unrestricted Free Agency and the Salary Cap," MPRA Paper 108400, University Library of Munich, Germany.
    16. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    17. 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.
    18. Ira Horowitz, 2018. "Competitive Balance in the NBA Playoffs," The American Economist, Sage Publications, vol. 63(2), pages 215-227, October.
    19. Stephen Clayton & Michael Nieswiadomy & Mark C. Strazicich, 2010. "Was There a Structural Break in Barry Bonds’ Bat?," Working Papers 10-13, Department of Economics, Appalachian State University.
    20. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    21. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.
    22. Kevin E. Henrickson, 2012. "Spatial Competition And Strategic Firm Relocation," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 364-379, April.
    23. Rodney Fort & Young Hoon Lee, 2013. "Major League Baseball attendance time series: league policy lessons," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 2, pages 35-50, Edward Elgar Publishing.
    24. Martin B. Schmidt, 2021. "On the evolution of athlete anthropometric measurements: racial integration, expansion, and steroids," Empirical Economics, Springer, vol. 61(6), pages 3419-3443, December.

  31. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.

    Cited by:

    1. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    2. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    4. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    5. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    6. Young Hoon Lee & Jungsoo Park, 2024. "Middle‐income country trap and total factor productivity growth," Pacific Economic Review, Wiley Blackwell, vol. 29(2), pages 214-229, May.
    7. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    8. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.
    9. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    10. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
    11. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    12. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    13. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2011. "TIs Globalization Driving Efficiency? A Threshold Stochastic Frontier Panel Data Modelling Approach," SERIES 0040, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Oct 2011.
    14. Bernd Frick & Young Lee, 2011. "Temporal variations in technical efficiency: evidence from German soccer," Journal of Productivity Analysis, Springer, vol. 35(1), pages 15-24, February.
    15. Lin, Winston T. & Chen, Yueh H. & Chou, Chia-Ching, 2021. "Assessing the business values of e-commerce and information technology separately and jointly and their impacts upon US firms' performance as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 241(C).
    16. Ahn, Seung C. & Perez, M. Fabricio, 2010. "GMM estimation of the number of latent factors: With application to international stock markets," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 783-802, September.
    17. Sakano, Ryoichi & Obeng, Kofi, 2011. "Examining the Inefficiency of Transit Systems Using Latent Class Stochastic Frontier Models," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 50(2).
    18. Perez, Marcos & Ahn, Seung Chan, 2007. "GMM Estimation of the Number of Latent Factors," MPRA Paper 4862, University Library of Munich, Germany.
    19. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
    20. Roman Matkovskyy, 2016. "Arbitrary temporal heterogeneity in time of European countries panel model," Economics Bulletin, AccessEcon, vol. 36(1), pages 576-587.
    21. Mastromarco Camilla & Laura Serlenga & Yongcheol Shin, 2013. "Globalisation and technological convergence in the EU," Journal of Productivity Analysis, Springer, vol. 40(1), pages 15-29, August.
    22. Grigorios Emvalomatis, 2012. "Adjustment and unobserved heterogeneity in dynamic stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 37(1), pages 7-16, February.
    23. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    24. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
    25. Roman Matkovskyy, 2016. "A comparison of pre- and post-crisis efficiency of OECD countries: evidence from a model with temporal heterogeneity in time and unobservable individual effect," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(2), pages 135-167, December.
    26. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    27. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.

  32. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.

    Cited by:

    1. Yangming Hu & Yingjun Wu & Wei Zhou & Tao Li & Liqing Li, 2020. "A three-stage DEA-based efficiency evaluation of social security expenditure in China," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-12, February.
    2. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    3. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    4. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    5. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    6. Smith, Andrew S.J., 2012. "The application of stochastic frontier panel models in economic regulation: Experience from the European rail sector," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 503-515.
    7. Kim Gui & Pyo K., 2018. "Trade in Intermediate Goods: Implications for Productivity and Welfare in Korea," Working Papers id:12439, eSocialSciences.
    8. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    9. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
    10. Meidiana Purnamasari & Wen-Chi Huang & Bambang Priyanto, 2023. "The Impact of Government Food Policy on Farm Efficiency of Beneficiary Small-Scale Farmers in Indonesia," Agriculture, MDPI, vol. 13(6), pages 1-14, June.
    11. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    12. Carlos P. Barros & Julio del Corral & Pedro García-del-Barrio, 2009. "Reply to Comment on ‘‘Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model’’," Journal of Sports Economics, , vol. 10(6), pages 660-666, December.
    13. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    14. Lin, Winston T. & Chen, Yueh H. & Shao, Benjamin B.M., 2015. "Assessing the business values of information technology and e-commerce independently and jointly," European Journal of Operational Research, Elsevier, vol. 245(3), pages 815-827.
    15. Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.
    16. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    17. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
    18. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
    19. Lin, Winston T. & Chuang, Chia-Hung, 2013. "Investigating and comparing the dynamic patterns of the business value of information technology over time," European Journal of Operational Research, Elsevier, vol. 228(1), pages 249-261.
    20. Zhiguang ZHANG & Haiqing HU & Winston T. LIN, 2019. "Analyzing the Impacts of Unobserved National Characteristics on Economic Performance of Information Technology based on a Partial Adjustment Approach With Dynamic and Variable Speed of Adjustment," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-142, March.
    21. Tsionas, Mike G., 2017. "Microfoundations for stochastic frontiers," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1165-1170.
    22. Lin, Winston T. & Kao, Ta-Wei (Daniel), 2014. "The partial adjustment valuation approach with dynamic and variable speeds of adjustment to evaluating and measuring the business value of information technology," European Journal of Operational Research, Elsevier, vol. 238(1), pages 208-220.
    23. Lin, Winston T. & Chiang, Chung-Yean, 2011. "The impacts of country characteristics upon the value of information technology as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 132(1), pages 13-33, July.
    24. Alessandro Magrini, 2021. "A Stochastic Frontier Model to Assess Agricultural Eco-efficiency of European Countries in 1990–2019," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(4), pages 138-138, July.

  33. Sangho Kim & Young Hoon Lee, 2006. "The productivity debate of East Asia revisited: a stochastic frontier approach," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1697-1706.
    See citations under working paper version above.
  34. Rodney Fort & Young Hoon Lee, 2006. "Stationarity and Major League Baseball Attendance Analysis," Journal of Sports Economics, , vol. 7(4), pages 408-415, November.

    Cited by:

    1. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    2. Young Lee & Rodney Fort, 2008. "Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 281-295, December.
    3. Mark C. Strazicich & Peter A. Groothuis & Tiberiu S.V. Ungureanu, 2024. "A Rising Tide Raises all Boats: The changing distribution of salaries in the NBA over time," Working Papers 24-20, Department of Economics, Appalachian State University.
    4. 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.
    5. Craig A. Depken & Peter A. Groothuis & Mark C. Strazicich, 2020. "Evolution Of Community Deterrence: Evidence From The National Hockey League," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 289-303, April.
    6. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    7. Anthony C. Krautmann & Young Hoon Lee & Kevin Quinn, 2011. "Playoff Uncertainty and Pennant Races," Journal of Sports Economics, , vol. 12(5), pages 495-514, October.
    8. Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    9. Tony Caporale & Trevor Collier, 2015. "Are We Getting Better or Are They Getting Worse? Draft Position, Strength of Schedule, and Competitive Balance in the National Football League," Journal of Labor Research, Springer, vol. 36(3), pages 291-300, September.
    10. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    11. Brian M. Mills & Rodney Fort, 2018. "Team-Level Time Series Analysis in MLB, the NBA, and the NHL," Journal of Sports Economics, , vol. 19(7), pages 911-933, October.
    12. Stephen Clayton & Michael Nieswiadomy & Mark C. Strazicich, 2010. "Was There a Structural Break in Barry Bonds’ Bat?," Working Papers 10-13, Department of Economics, Appalachian State University.
    13. Fatih Karanfil, 2017. "An empirical analysis of European football rivalries based on on-field performances," Post-Print hal-01549787, HAL.
    14. Jaume García & Plácido Rodríguez, 2013. "The determinants of football match attendance in Spanish football: an empirical analysis," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 9, pages 154-166, Edward Elgar Publishing.
    15. Young Hoon Lee & Hayley Jang & Rodney Fort, 2016. "Just looking for a good game: competitive balance in the Korean Professional Baseball League," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3104-3115, July.
    16. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    17. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.
    18. Jye-Shyan Wang & Chih-Fu Cheng & Wen-Jhan Jane, 2014. "Buying success or redistributing payment: bidirectional causality in Korean Professional Baseball League," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 247-260, December.
    19. Kevin E. Henrickson, 2012. "Spatial Competition And Strategic Firm Relocation," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 364-379, April.
    20. Brad R. Humphreys & Scott Schuh & Corey J.M. Williams, "undated". "Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data," Working Papers 24-02, Department of Economics, West Virginia University.
    21. Kaplan David, 2008. "Univariate and Multivariate Autoregressive Time Series Models of Offensive Baseball Performance: 1901-2005," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(3), pages 1-23, July.
    22. 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.
    23. Rodney Fort & Young Hoon Lee, 2007. "Structural Change, Competitive Balance, And The Rest Of The Major Leagues," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 519-532, July.

  35. Young Hoon Lee, 2006. "The Decline of Attendance in the Korean Professional Baseball League," Journal of Sports Economics, , vol. 7(2), pages 187-200, May.

    Cited by:

    1. Trenton Smith & Young H. Lee, 2006. "Why are Americans Addicted to Baseball? An Empirical Analysis of Fandom in Korea and the U.S," Working Papers 2006-05, School of Economic Sciences, Washington State University.
    2. Shin, Jin-ho & Lyu, Seong Ok, 2019. "Using a discrete choice experiment to estimate spectators’ willingness to pay for professional baseball park sportscape," Sport Management Review, Elsevier, vol. 22(4), pages 502-512.
    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. Qi Ge & Brad R. Humphreys & Kun Zhou, 2020. "Are Fair Weather Fans Affected by Weather? Rainfall, Habit Formation, and Live Game Attendance," Journal of Sports Economics, , vol. 21(3), pages 304-322, April.
    5. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    6. Markus Breuer, 2009. "The demand for football tickets depending on the number of clubs in a city – Empirical evidence from Germany –," Working Papers 2009.5, International Network for Economic Research - INFER.
    7. Hayley Jang & Young Hoon Lee, 2016. "A Business Analysis of Asian Baseball Leagues," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 95-112, January.
    8. Young Hoon Lee & Hayley Jang & Rodney Fort, 2016. "Just looking for a good game: competitive balance in the Korean Professional Baseball League," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3104-3115, July.
    9. Yan Feng & Jinbao Wang & Yeujun Yoon, 2020. "Online Webcast Demand vs. Offline Spectating Channel Demand (Stadium and TV) in the Professional Sports League," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    10. Young H. Lee & Trenton G. Smith, 2008. "Why Are Americans Addicted To Baseball? An Empirical Analysis Of Fandom In Korea And The United States," Contemporary Economic Policy, Western Economic Association International, vol. 26(1), pages 32-48, January.

  36. Young Hoon Lee & Rodney Fort, 2005. "Structural Change in MLB Competitive Balance: The Depression, Team Location, and Integration," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 158-169, January.

    Cited by:

    1. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    2. Young Lee & Rodney Fort, 2008. "Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 281-295, December.
    3. Hayley Jang & Young Hoon Lee & Rodney Fort, 2019. "Winning In Professional Team Sports: Historical Moments," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 103-120, January.
    4. Mark C. Strazicich & Peter A. Groothuis & Tiberiu S.V. Ungureanu, 2024. "A Rising Tide Raises all Boats: The changing distribution of salaries in the NBA over time," Working Papers 24-20, Department of Economics, Appalachian State University.
    5. Martin B. Schmidt, 2024. "On the impact of institutional change: Rights reassignment and career length," Economic Inquiry, Western Economic Association International, vol. 62(4), pages 1702-1721, October.
    6. Craig A. Depken & Peter A. Groothuis & Mark C. Strazicich, 2020. "Evolution Of Community Deterrence: Evidence From The National Hockey League," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 289-303, April.
    7. Fort, Rodney & Maxcy, Joel & Diehl, Mark, 2016. "Uncertainty by regulation: Rottenberg׳s invariance principle," Research in Economics, Elsevier, vol. 70(3), pages 454-467.
    8. Young Hoon Lee, 2006. "The Decline of Attendance in the Korean Professional Baseball League," Journal of Sports Economics, , vol. 7(2), pages 187-200, May.
    9. Martin B. Schmidt, 2021. "The Competitive Returns To The Global Search For Talent: Professional Sports Markets And Foreigners," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 396-419, January.
    10. Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    11. Young Hoon Lee & Rodney Fort, 2022. "Division Play and Outcome Uncertainty in Sports Leagues," Working Papers 2204, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    12. Tony Caporale & Trevor Collier, 2015. "Are We Getting Better or Are They Getting Worse? Draft Position, Strength of Schedule, and Competitive Balance in the National Football League," Journal of Labor Research, Springer, vol. 36(3), pages 291-300, September.
    13. Liam J. A. Lenten, 2015. "Measurement of Competitive Balance in Conference and Divisional Tournament Design," Journal of Sports Economics, , vol. 16(1), pages 3-25, January.
    14. Rodney Fort, 2007. "Comments on ``Measuring Parity''," Journal of Sports Economics, , vol. 8(6), pages 642-651, December.
    15. Craig A. Depken II & Peter A. Groothuis & Mark C. Strazicich, 2016. "The Rise and Fall of the Enforcer in the National Hockey League," Working Papers 16-12, Department of Economics, Appalachian State University.
    16. Rodney Fort & Young Hoon Lee, 2006. "Stationarity and Major League Baseball Attendance Analysis," Journal of Sports Economics, , vol. 7(4), pages 408-415, November.
    17. Brian M. Mills & Steven Salaga, 2015. "Historical Time Series Perspectives on Competitive Balance in NCAA Division I Basketball," Journal of Sports Economics, , vol. 16(6), pages 614-646, August.
    18. 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.
    19. Young Hoon Lee & Yongdai Kim & Sara Kim, 2019. "A Bias-Corrected Estimator of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 20(4), pages 479-508, May.
    20. Daniel, Rascher, 2008. "Franchise Relocations, Expansions, and Mergers in Professional Sports Leagues," MPRA Paper 25809, University Library of Munich, Germany.
    21. Richard Evans, 2014. "A review of measures of competitive balance in the ‘analysis of competitive balance’ literature," Birkbeck Sports Business Centre Working Papers 9, Birkbeck College, Department of Management.
    22. Liam J. A. Lenten, 2017. "A Formal Test for Asymmetry in the Uncertainty of Outcome Hypothesis," Journal of Sports Economics, , vol. 18(3), pages 253-270, April.
    23. Stephen Clayton & Michael Nieswiadomy & Mark C. Strazicich, 2010. "Was There a Structural Break in Barry Bonds’ Bat?," Working Papers 10-13, Department of Economics, Appalachian State University.
    24. Young Hoon Lee & Yongdai Kim & Sara Kim, 2018. "Unbiased Estimation of Competitive Balance in Sports Leagues with Unbalanced Schedules," Working Papers 1801, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    25. Anthony C. Krautmann & Lawrence Hadley, 2006. "Dynasties versus pennant races: competitive balance in major league baseball," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 287-292.
    26. Hayley Jang & Young Hoon Lee, 2016. "A Business Analysis of Asian Baseball Leagues," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 95-112, January.
    27. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.
    28. Peter A. Groothuis & Kurt W. Rotthoff & Mark C. Strazicich, 2017. "Structural Breaks in the Game," Journal of Sports Economics, , vol. 18(6), pages 622-637, August.
    29. Kevin E. Henrickson, 2012. "Spatial Competition And Strategic Firm Relocation," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 364-379, April.
    30. Misael Martinez & Jonathan Willner, 2017. "Competitive Balance and Consumer Demand in the English Football League," Applied Finance and Accounting, Redfame publishing, vol. 3(2), pages 49-60, August.
    31. Rodney Fort & Young Hoon Lee, 2007. "Structural Change, Competitive Balance, And The Rest Of The Major Leagues," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 519-532, July.
    32. Martin B. Schmidt, 2021. "On the evolution of athlete anthropometric measurements: racial integration, expansion, and steroids," Empirical Economics, Springer, vol. 61(6), pages 3419-3443, December.

  37. Sangho Kim & Young Hoon Lee, 2002. "Public Sector Capital and the Production Efficiency of U.S. Regional Manufacturing Industries," The Japanese Economic Review, Japanese Economic Association, vol. 53(4), pages 466-477, December.

    Cited by:

    1. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    2. Metin KARADAG, 2010. "The Impact of Public Capital on the Efficiency of Private Manufacturing Industry at the Regional Level," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 10(4), pages 1167-1174.
    3. Tingting Tong & T. Edward Yu & Kimberly Jensen & Daniel De La Torre Ugarte & Seong‐Hoon Cho, 2016. "Impact of Public Infrastructure on Output of U.S. Food Manufacturing Industries: A Heterogeneous Dynamic Panel Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 32(4), pages 439-453, November.
    4. Claudia Werker, 2006. "An Assessment of the Regional Innovation Policy by the European Union based on Bibliometrical Analysis," Papers on Economics and Evolution 2006-11, Philipps University Marburg, Department of Geography.
    5. Joseph Berechman & Dilruba Ozmen & Kaan Ozbay, 2006. "Empirical analysis of transportation investment and economic development at state, county and municipality levels," Transportation, Springer, vol. 33(6), pages 537-551, November.

  38. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.

    Cited by:

    1. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    2. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
    3. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    4. Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
    5. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    6. Hayakawa, Kazuhiko, 2016. "Identification problem of GMM estimators for short panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 139(C), pages 22-26.
    7. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    8. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    9. Luigi Infante & Stefano Piermattei & Raffaele Santioni & Bianca Sorvillo, 2020. "Diversifying away risks through derivatives: an analysis of the Italian banking system," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 621-657, July.
    10. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    11. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    12. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    13. G. Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure Endogeneity," Monash Econometrics and Business Statistics Working Papers 14/15, Monash University, Department of Econometrics and Business Statistics.
    14. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    15. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    17. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Alban Thomas, 2002. "Consistent estimation of discrete-choice models for panel data with multiplicative effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-2, International Conferences on Panel Data.
    19. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    20. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    21. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
    22. Kim, Yong-seong & Kim, Taebong, 2017. "The Effects of Institutions on the Labour Market Outcomes: Cross-country Analysis," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 39(4), pages 69-94.
    23. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    25. Artūras Juodis & Vasilis Sarafidis, 2018. "Fixed T dynamic panel data estimators with multifactor errors," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 893-929, September.
    26. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    27. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    28. Sarafidis, Vasilis & Yamagata, Takashi, 2010. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors under Cross-sectional Dependence," MPRA Paper 25182, University Library of Munich, Germany.
    29. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
    30. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    31. Oualid Bada & Alois Kneip & Dominik Liebl & Tim Mensinger & James Gualtieri & Robin C. Sickles, 2021. "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters," Papers 2109.10950, arXiv.org.
    32. Jee-Seon Kim & Edward Frees, 2006. "Omitted Variables in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 659-690, December.
    33. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    34. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    35. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Kazuhiko Hayakawa & Vanessa Smith & M. Hashem Pesaran, 2014. "Transformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with interactive effects," Cambridge Working Papers in Economics 1412, Faculty of Economics, University of Cambridge.
    37. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    38. Ligon, Ethan, 2020. "Estimating Household Welfare from Disaggregate Expenditures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt3ts0g5tn, Department of Agricultural & Resource Economics, UC Berkeley.
    39. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    40. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    41. Murtazashvili, Irina & Wooldridge, Jeffrey M., 2008. "Fixed effects instrumental variables estimation in correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 539-552, January.
    42. Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.
    43. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    44. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2023. "Short T dynamic panel data models with individual, time and interactive effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 940-967, September.
    45. Sébastien Roux & Philippe Zamora, 2013. "L'impact local des radars fixes sur les accidents de la route : un effet important après l'installation mais plus réduit à long terme," Économie et Statistique, Programme National Persée, vol. 460(1), pages 37-68.
    46. Cheng Hsiao & Yan Shen & Wenlong Bian, 2016. "Evaluating the Effectiveness of China's Financial Reform The Efficiency of China's Domestic Banks," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    47. Nocera, A. & Pesaran, M. H., 2022. "Causal effects of the Fed's large-scale asset purchases on firms' capital structure," Cambridge Working Papers in Economics 2224, Faculty of Economics, University of Cambridge.
    48. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    49. Francesco Bartolucci & Federico Belotti & Franco Peracchi, 2013. "Testing for Time-Invariant Unobserved Heterogeneity in Generalized Linear Models for Panel Data," EIEF Working Papers Series 1312, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.
    50. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    51. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
    52. De Vos, Ignace & Westerlund, Joakim, 2019. "On CCE estimation of factor-augmented models when regressors are not linear in the factors," Economics Letters, Elsevier, vol. 178(C), pages 5-7.
    53. Giovanni Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure and Endogeneity," School of Economics Discussion Papers 0315, School of Economics, University of Surrey.
    54. Bin Peng & Giovanni Forchini, 2014. "Consistent Estimation of Panel Data Models with a Multifactor Error Structure when the Cross Section Dimension is Large," Working Paper Series 20, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    55. Laurent Gobillon & François-Charles Wolff, 2015. "Évaluer l’effet des politiques publiques locales avec les contrôles synthétiques et les modèles à facteurs : Une application au marché du poisson français," Working Papers halshs-01183455, HAL.
    56. Yongcheol Shin & Laura Serlenga, 2007. "Gravity models of intra-EU trade: application of the CCEP-HT estimation in heterogeneous panels with unobserved common time-specific factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 361-381.
    57. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2022. "Robust Estimation and Inference in Panels with Interactive Fixed Effects," Papers 2210.06639, arXiv.org, revised Dec 2024.
    58. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2006. "Asymptotics for panel models with common shocks," Working Papers 0615, Department of Management, Information and Production Engineering, University of Bergamo.
    59. Sébastien Roux & Philippe Zamora, 2011. "Short and Medium-Run Local Effects of Fixed Speed Enforcement Cameras on Accidents : Evidence from the French Case," Working Papers 2011-01, Center for Research in Economics and Statistics.
    60. Tom Wansbeek & Erik Meijer, 2007. "Comments on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 33-36, May.
    61. Al Mamun, Md. & Sohag, Kazi & Uddin, Gazi Salah & Shahbaz, Muhammad, 2015. "Remittance and domestic labor productivity: evidence from remittance recipient countries," MPRA Paper 62177, University Library of Munich, Germany, revised 12 Feb 2015.
    62. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
    63. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.
    64. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    65. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    66. Hao, Bowen & Prokhorov, Artem & Qian, Hailong, 2019. "Moment Redundancy Test with Application to Efficiency-Improving Copulas," Working Papers BAWP-2019-05, University of Sydney Business School, Discipline of Business Analytics.
    67. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    68. Ambetsa Wycliffe Oparanya & Kenneth P. Mdadila & Longinus K. Rutasitara, 2019. "The Determinant of Bilateral Trade in the East African Community: Application of the Gravity Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(4), pages 1-15, April.
    69. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.
    70. Yamagata, Takashi, 2008. "A joint serial correlation test for linear panel data models," Journal of Econometrics, Elsevier, vol. 146(1), pages 135-145, September.
    71. Robertson, Donald & Sarafidis, Vasilis & Symons, James, 2010. "IV Estimation of Panels with Factor Residuals," MPRA Paper 26166, University Library of Munich, Germany.
    72. Li, Kunpeng & Cui, Guowei & Lu, Lina, 2020. "Efficient estimation of heterogeneous coefficients in panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 216(2), pages 327-353.
    73. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
    74. G. Forchini & Bin Jiang & Bin Peng, 2015. "Common Shocks in panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 8/15, Monash University, Department of Econometrics and Business Statistics.
    75. Bai, Jushan, 2013. "Likelihood approach to dynamic panel models with interactive effects," MPRA Paper 50267, University Library of Munich, Germany.
    76. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    77. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    78. Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.
    79. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 49/13, Institute for Fiscal Studies.
    80. Sam Schulhofer-Wohl, 2011. "Heterogeneity and tests of risk sharing," Staff Report 462, Federal Reserve Bank of Minneapolis.
    81. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    82. Gao, Z. & Pesaran, M. H., 2022. "Identification and Estimation of Categorical Random Coeficient Models," Cambridge Working Papers in Economics 2228, Faculty of Economics, University of Cambridge.
    83. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
    84. Bai, Jushan & Li, Kunpeng, 2010. "Theory and methods of panel data models with interactive effects," MPRA Paper 43441, University Library of Munich, Germany, revised Dec 2012.
    85. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    86. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    87. Philippe de Vreyer & Javier Herrera & Sandrine Mesplé-Somps, 2009. "Consumption Growth and Spatial Poverty Traps: An Analysis of the Effect of Social Services and Community Infrastructures on Living Standards in Rural Peru," Post-Print hal-01377603, HAL.
    88. Laura Serlenga & Yongcheol Shin, 2004. "Gravity Models of the Intra-EU Trade: Application of the Hausman-Taylor Estimation in Heterogeneous Panels with Common Time-specific Factors," Edinburgh School of Economics Discussion Paper Series 105, Edinburgh School of Economics, University of Edinburgh.
    89. Jianqing Fan & Yuan Ke & Yuan Liao, 2016. "Augmented Factor Models with Applications to Validating Market Risk Factors and Forecasting Bond Risk Premia," Papers 1603.07041, arXiv.org, revised Sep 2018.
    90. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
    91. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    92. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 08/12, Institute for Fiscal Studies.
    93. Luigi Infante & Stefano Piermattei & Raffaele Santioni & Bianca Sorvillo, 2018. "Why do banks use derivatives? An analysis of the Italian banking system," Questioni di Economia e Finanza (Occasional Papers) 441, Bank of Italy, Economic Research and International Relations Area.
    94. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    95. Moukpè Gniniguè & Essossinam Ali, 2022. "Migrant Remittances and Economic Growth in ECOWAS Countries: Does Digitalization Matter?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2517-2542, October.
    96. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    97. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," The Warwick Economics Research Paper Series (TWERPS) 1120, University of Warwick, Department of Economics.
    98. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
    99. Feng, Qu & Horrace, William C., 2007. "Fixed-effect estimation of technical efficiency with time-invariant dummies," Economics Letters, Elsevier, vol. 95(2), pages 247-252, May.
    100. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    101. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.
    102. Jie Wei & Yonghui Zhang, 2022. "Panel Probit Models with Time‐Varying Individual Effects: Reestimating the Effects of Fertility on Female Labour Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 799-829, August.
    103. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
    104. Vuslat Us, 2015. "The Turkish Banking Sector Before and After the Global Crisis:An Ownership Breakdown," CBT Research Notes in Economics 1502, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    105. Giovanni Forchini & Bin Peng, 2016. "A Conditional Approach to Panel Data Models with Common Shocks," Econometrics, MDPI, vol. 4(1), pages 1-12, January.
    106. Marco Barassi & Yiannis Karavias & Chongxian Zhu, 2023. "Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2308.04057, arXiv.org.
    107. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    108. Shobande, Olatunji A. & Ogbeifun, Lawrence, 2023. "Pooling cross-sectional and time series data for estimating causality between technological innovation, affluence and carbon dynamics: A comparative evidence from developed and developing countries," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
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    113. Ali M. Kutan & Nahla Samargandi & Kazi Sohag, 2017. "Does Institutional Quality Matter for Financial Development and Growth? Further Evidence from MENA Countries," Australian Economic Papers, Wiley Blackwell, vol. 56(3), pages 228-248, September.
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    Cited by:

    1. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    2. Dipa Mukherjee & Rajarshi Majumder, 2007. "Efficiency, technological progress and regional comparative advantage: a study of the organized manufacturing sector in India," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 14(2), pages 23-54, December.
    3. Elias Sanidas & Hyeri Park, 2011. "Korean Augmented Production Function: The Role Of Services And Other Factors In Korea¡¯S Economic Growth Of Industries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(1), pages 59-85, March.
    4. Becerril-Torres, Osvaldo U. & Álvarez-Ayuso, Inmaculada C. & Del moral-Barrera, Laura E., 2010. "Do infrastructures influence the convergence of efficiency in Mexico?," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 120-137, January.

Chapters

  1. Hayley Jang & Young Hoon Lee, 2015. "Outcome Uncertainty, Governance Structure, and Attendance: A Study of the Korean Professional Football League," Sports Economics, Management, and Policy, in: Young Hoon Lee & Rodney Fort (ed.), The Sports Business in The Pacific Rim, edition 127, pages 59-81, Springer.
    See citations under working paper version above.
  2. Rodney Fort & Joon-Ho Kang & Young Hoon Lee, 2015. "KBO and International Sports League Comparisons," Sports Economics, Management, and Policy, in: Young Hoon Lee & Rodney Fort (ed.), The Sports Business in The Pacific Rim, edition 127, pages 175-193, Springer.

    Cited by:

    1. Sang Hun Sung & Doo-Seung Hong & Soo Young Sul, 2020. "How We Can Enhance Spectator Attendance for the Sustainable Development of Sport in the Era of Uncertainty: A Re-Examination of Competitive Balance," Sustainability, MDPI, vol. 12(17), pages 1-15, August.

  3. Young Hoon Lee, 2013. "Estimation of temporal variations in fan loyalty: application of multi-factor models," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 8, pages 135-153, Edward Elgar Publishing.
    See citations under working paper version above.

Books

  1. Young Hoon Lee & Rodney Fort (ed.), 2015. "The Sports Business in The Pacific Rim," Sports Economics, Management and Policy, Springer, edition 127, number 978-3-319-10037-1, February.

    Cited by:

    1. Sang Hun Sung & Doo-Seung Hong & Soo Young Sul, 2020. "How We Can Enhance Spectator Attendance for the Sustainable Development of Sport in the Era of Uncertainty: A Re-Examination of Competitive Balance," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    2. Luc Arrondel & Richard Duhautois, 2019. "Are French Football Fans Sensitive to Outcome Uncertainty?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 513, pages 5-26.
    3. Pamela Wicker & John C. Whitehead & Bruce K. Johnson & Daniel S. Mason, 2017. "The effect of sporting success and management failure on attendance demand in the Bundesliga: a revealed and stated preference travel cost approach," Applied Economics, Taylor & Francis Journals, vol. 49(52), pages 5287-5295, November.
    4. David J. Berri & Richard C. K. Burdekin & Christian Deutscher, 2022. "Nationality Effects on the Allocation of Playing Time in the Chinese Basketball Association: Xenophilia or Xenophobia?," Journal of Sports Economics, , vol. 23(2), pages 156-174, February.
    5. Christina Philippou, 2019. "Towards a unified framework for anti-bribery in sport governance," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(2), pages 83-99, July.
    6. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.
    7. Shang-Chun Ma & Kyriaki Kaplanidou, 2021. "Social Capital and Running: A Network Social Capital Perspective," Sustainability, MDPI, vol. 13(22), pages 1-14, November.

  2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.

    Cited by:

    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    2. Andrea Bonaccorsi & Paola Giuri & Francesca Pierotti, 2001. "Discontinuities, convergence and survival of inefficient trajectories in technical progress," LEM Papers Series 2001/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. D. Fabbri, 1999. "Riforma Sanitaria e produzione ospedaliera," Working Papers 362, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Lita Iulian & Stamule Tănase, 2018. "Using non-parametric technical data envelopment analysis - DEA, for measuring productive technical efficiency," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 533-543, May.
    5. Hailin Liao & Xiaohui Liu, 2009. "Export-total factor productivity growth nexus in East Asian economies," Applied Economics, Taylor & Francis Journals, vol. 41(13), pages 1663-1675.
    6. Maria Rita Pierleoni & Stefano Gori, 2013. "Efficiency analysis postal operators: comparison between the United States and Europe," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Reforming the Postal Sector in the Face of Electronic Competition, chapter 18, pages 261-276, Edward Elgar Publishing.
    7. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(01), pages 1-25, April.
    8. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    9. Lukács, Bence & Antal, Miklós, 2023. "The practical feasibility of working time reduction: Do we have sufficient data?," Ecological Economics, Elsevier, vol. 204(PA).
    10. Vecdi DEMIRCAN & Turan BINICI & Carl R. ZULAUF, 2010. "Assessing pure technical efficiency of dairy farms in Turkey," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(3), pages 141-148.
    11. Léopold Simar, 2007. "How to improve the performances of DEA/FDH estimators in the presence of noise?," Journal of Productivity Analysis, Springer, vol. 28(3), pages 183-201, December.
    12. J. F. Nolan & P. C. Ritchie & J. R. Rowcroft, 2001. "Measuring efficiency in the public sector using nonparametric frontier estimators: a study of transit agencies in the USA," Applied Economics, Taylor & Francis Journals, vol. 33(7), pages 913-922.
    13. Temel, T. & Lucas, A., 2005. "Deepening the Measuring of Technical Inefficiency in Private Farming in Georgia: Locally Parametric Regression," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 115-138.
    14. Walter Briec & Kristiaan Kerstens, 2006. "Input, output and graph technical efficiency measures on non-convex FDH models with various scaling laws: An integrated approach based upon implicit enumeration algorithms," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 135-166, June.
    15. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of Financial Institutions: International Survey and Directions for Future Research," Center for Financial Institutions Working Papers 97-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
    16. Geys, Benny & Heinemann, Friedrich & Kalb, Alexander, 2009. "Voter involvement, fiscal autonomy and public sector efficiency: evidence from German municipalities [Wähler-Beteiligung, Finanzhoheit und Effizienz des öffentlichen Sektors: Aussagen von deutschen," Discussion Papers, Research Unit: Market Processes and Governance SP II 2009-02, WZB Berlin Social Science Center.
    17. Pastor, Jesus T. & Aparicio, Juan & Alcaraz, Javier & Vidal, Fernando & Pastor, Diego, 2015. "An enhanced BAM for unbounded or partially bounded CRS additive models," Omega, Elsevier, vol. 56(C), pages 16-24.
    18. Lang, Gunter & Welzel, Peter, 1996. "Efficiency and technical progress in banking Empirical results for a panel of German cooperative banks," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1003-1023, July.
    19. E. Avisoa, 2016. "European banks’ technical efficiency and performance: do business models matter? The case of European co-operatives banks," Débats économiques et financiers 25, Banque de France.
    20. Paul W. Wilson & Shirong Zhao, 2023. "Investigating the performance of Chinese banks over 2007–2014," Annals of Operations Research, Springer, vol. 321(1), pages 663-692, February.
    21. Mohamed Chaffai & Michel Dietsch & Ana Lozano-Vivas, 2001. "Technological and Environmental Differences in the European Banking Industries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(2), pages 147-162, April.
    22. Sanjukta Sarkar, 2016. "The Dynamics of Revenue Diversification and Efficiency of Banks in India," IIM Kozhikode Society & Management Review, , vol. 5(2), pages 156-172, July.
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    25. Ali Argun Karacabey, 2001. "Testing the Efficiency of Turkish Banks," Working Papers 0121, Economic Research Forum, revised 07 2001.
    26. Ancarani, A. & Di Mauro, C. & Giammanco, M.D., 2009. "The impact of managerial and organizational aspects on hospital wards' efficiency: Evidence from a case study," European Journal of Operational Research, Elsevier, vol. 194(1), pages 280-293, April.
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    30. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    31. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
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    35. Tavana, Madjid & Ebrahimnejad, Ali & Santos-Arteaga, Francisco J. & Mansourzadeh, Seyed Mehdi & Matin, Reza Kazemi, 2018. "A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 70-89.
    36. Young Hoon Lee, 2009. "The Impact of Postseason Restructuring on the Competitive Balance and Fan Demand in Major League Baseball," Working Papers 0901, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    37. Sathye, Milind, 2003. "Efficiency of banks in a developing economy: The case of India," European Journal of Operational Research, Elsevier, vol. 148(3), pages 662-671, August.
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    40. George Emmanuel Halkos & Nickolaos Tzeremes, 2010. "Measuring regional economic efficiency: the case of Greek prefectures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(3), pages 603-632, December.
    41. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
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    43. Liao, Hailin & Mark Holmes & Thomas Weyman-Jones & David Llewellyn, 2003. "Productivity Growth of East Asia Economies' Manufacturing: A Decomposition Analysis," Royal Economic Society Annual Conference 2003 140, Royal Economic Society.
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    46. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
    47. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    48. Bart Los & Bart Verspagen, 2008. "Localized Innovation, Localized Diffusion and the Environment: An Analysis of CO2 Emission Reductions by Passenger Cars, 2000-2007," Working Papers on Innovation Studies 20080527, Centre for Technology, Innovation and Culture, University of Oslo.
    49. Lothgren, Mickael, 1997. "Generalized stochastic frontier production models," Economics Letters, Elsevier, vol. 57(3), pages 255-259, December.
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