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| Balcombe, Kelvin George; Davidova, Sophia; Latruffe, Laure. |
| The paper assesses the extent to which sampling variation affects findings about Malmquist productivity change derived using Data Envelopment Analysis (DEA), in the first stage calculating productivity indices and in the second stage investigating the farm-specific change in productivity. Confidence intervals for Malmquist indices are constructed using Simar and Wilson's (1999) bootstrapping procedure. The main contribution of the paper is to account in the second stage for the information provided by the bootstrap in the first stage. The DEA standard errors of the Malmquist indices given by bootstrapping are employed in an innovative heteroscedastic panel regression, using a maximum likelihood procedure. The application is to a sample of 250 Polish farms... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Productivity; Malmquist; Bootstrapping; Second-stage regression; Poland; Productivity Analysis. |
| Ano: 2006 |
URL: http://purl.umn.edu/25793 |
