Comparing mean efficiency and productivity scores from small samples: A bootstrap methodology-Reference-Cited by-同舟云学术

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Comparing mean efficiency and productivity scores from small samples: A bootstrap methodology

Published:1995-07 Issue:2 Volume:6 Page:137-152
ISSN:0895-562X
Container-title:Journal of Productivity Analysis
language:en
Short-container-title:J Prod Anal

Author:

Atkinson Scott E.,Wilson Paul W.

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Social Sciences (miscellaneous),Business and International Management

Link

http://link.springer.com/content/pdf/10.1007/BF01073408.pdf

Reference25 articles.

1. Atkinson, S.E., and P.W. Wilson. (1992). ?The Bias of Bootstrapped Versus Conventional Standard Errors in the General Linear and SUR Models.?Econometric Theory 8, 258?275.

2. Battese, G.E., and T.J. Coelli. (1988). ?Prediction of Firm-Level Technical Efficiencies with a Generalized Frontier Production Function and Panel Data.?Journal of Econometrics 38, 387?399.

3. Bickel, P.J., and D.A. Freedman. (1981). ?Some Asymptotic Theory for the Bootstrap.?Annals of Statistics 9, 1196?1217.

4. Brown, B.W., and W.K. Newey. (1992). ?Bootstrapping for GMM.? Unpublished working paper, Department of Economics, Rice University.

5. Caves, D.W., L.R. Christensen, and W.E. Diewert. (1982). ?The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity.?Econometrica 50, 1393?1414.

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