Bootstrapping the Malmquist Productivity Index: A Simulation Study
AbstractThis paper presents a Monte Carlo simulation study of the bootstrap algorithm proposed by Löthgren and Tambour (1997) for calculation of bootstrap confidence intervals for the firm-specific Data Envelopment Analysis (DEA) Malmquist productivity index. The simulation results indicate that the coverage accuracy of bootstrap confidence intervals are near the nominal confidence level for small to moderate sized samples. For larger sample sizes, a clear converges of empirical to nominal levels are found.
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Bibliographic InfoPaper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 204.
Length: 10 pages
Date of creation: 04 Nov 1997
Date of revision: 08 Nov 1997
Publication status: Published in Applied Economics Letters, 1999, pages 707-710.
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Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
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More information through EDIRC
Bootstrap; Confidence Intervals; Data Envelopment Analysis; Malmquist Productivity Index; Monte Carlo Simulation;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
This paper has been announced in the following NEP Reports:
- NEP-ALL-1998-11-05 (All new papers)
- NEP-CMP-1998-11-11 (Computational Economics)
- NEP-EFF-1998-11-05 (Efficiency & Productivity)
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