Do former athletes make better managers? Evidence from a partially adaptive grouped-data regression model
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DOI: 10.1007/s00181-009-0304-8
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Cited by:
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- Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2017. "The Effect of Physical Activity on Student Performance in College: An Experimental Evaluation," Economics Working Paper Series 1707, University of St. Gallen, School of Economics and Political Science.
- Jerome Segura III & Jonathan Willner, 2019. "Athleticism in NCAA D-III: It Ain’t Only Football That Matters," Journal of Sports Economics, , vol. 20(7), pages 929-958, October.
- Jichao Geng & Na Yang & Wei Zhang & Li Yang, 2023. "Public Willingness to Pay for Green Lifestyle in China: A Contingent Valuation Method Based on Integrated Model," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
- Cook, David & Davíðsdóttir, Brynhildur & Kristófersson, Daði Már, 2016. "Energy projects in Iceland – Advancing the case for the use of economic valuation techniques to evaluate environmental impacts," Energy Policy, Elsevier, vol. 94(C), pages 104-113.
- Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2018.
"The effects of incentives to exercise on student performance in college,"
Economics of Education Review, Elsevier, vol. 66(C), pages 14-39.
- Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2018. "The effects of incentives to exercise on student performance in college," Munich Reprints in Economics 62839, University of Munich, Department of Economics.
- Katherine G. Yewell & Steven B. Caudill & Franklin G. Mixon, Jr., 2014. "Referee Bias and Stoppage Time in Major League Soccer: A Partially Adaptive Approach," Econometrics, MDPI, vol. 2(1), pages 1-19, February.
- Steven B. Caudill & James E. Long & Franklin G. Mixon, 2012. "Female athletic participation and income: evidence from a latent class model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(3), pages 477-488, June.
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Keywords
Partially adaptive estimator; Grouped-data regression; Censored regression model; Athletes; C240; J240;All these keywords.
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