P
Paul W. Wilson
Researcher at Clemson University
Publications - 155
Citations - 20120
Paul W. Wilson is an academic researcher from Clemson University. The author has contributed to research in topics: Estimator & Data envelopment analysis. The author has an hindex of 53, co-authored 147 publications receiving 18562 citations. Previous affiliations of Paul W. Wilson include University of Georgia & University of Texas at Austin.
Papers
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Estimation and inference in two-stage, semi-parametric models of production processes
Léopold Simar,Paul W. Wilson +1 more
TL;DR: In this paper, a coherent data-generating process (DGP) is described for nonparametric estimates of productive efficiency on environmental variables in two-stage procedures to account for exogenous factors that might affect firms’ performance.
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Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
Léopold Simar,Paul W. Wilson +1 more
TL;DR: In this paper, the authors provide a general methodology of bootstrapping in nonparametric frontier models and some adapted methods are illustrated in analyzing the bootstrap sampling variations of input efficiency measures of electricity plants.
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On Players′ Models of Other Players: Theory and Experimental Evidence
Dale O. Stahl,Paul W. Wilson +1 more
TL;DR: In this paper, a theory of human behavior in 3 × 3 symmetric games was developed and tested, and the experimental evidence rejected the rational expectations type but confirmed the boundedly rational theory.
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Statistical inference in nonparametric frontier models: the state of the art
Léopold Simar,Paul W. Wilson +1 more
TL;DR: In this article, the authors define a statistical model allowing determination of the statistical properties of the nonparametric estimators in the multi-output and multi-input case, and provide the asymptotic sampling distribution of the FDH estimator in a multivariate setting and of the DEA estimator for the bivariate case.
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A general methodology for bootstrapping in non-parametric frontier models
Leâ Opold Simar,Paul W. Wilson +1 more
TL;DR: This paper proposes a general methodology for bootstrapping in frontier models, extending the more restrictive method proposed in Simar & Wilson (1998) by allowing for heterogeneity in the structure of efficiency.