A Parametric Distance Function Approach for Malmquist Productivity Index Estimation
By Hugo J. Fuentes, E. Grifell-Tatjé, Sergio Perelman. 2001
164 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6a35811acbaa0be386e2289aba783b8e52273bdc
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Citations in the corpus
- Frontier Efficiency Methodologies to Measure Performance in the Insurance Industry: Overview, Systematization, and Recent Developments (2010, background): “Overall, the total factor productivity growth is relatively lower in the insurance indus- try, especially compared to manufacturing industries (Bernstein, 1999; Fuentes et al., 2001; Luhnen, 2008).”
- A Bayesian Approach to Imposing Curvature on Distance Functions (2005, methodology): “They have also been used to measure and decompose productivity growth through time – see the analysis of Spanish insurance companies by Fuentes, Grifell-Tatje and Perelman (2001) , the analysis of Spanish savings banks by Orea (2002), and the study by Brummer, Glauben and Thijssen (2002) which meas”
- The Hicks-Moorsteen productivity index satisfies the determinateness axiom (2011, unknown): “1While most studies use non-parametric technologies, this same index can be computed using distance function estimates based on parametric technology specifications (e.g. Fuentes et al., 2001).”
- Efficiency and productivity (2008, unknown): “Fuentes et al. (2001) and Atkinson et al. (2003) illustrate alternative specifications and provide applications to Spanish insurance companies and US railroads, respectively.”
- Market structure and the efficiency of European insurance companies: A stochastic frontier analysis (2008, methodology): “Fuentes et al. (2001), in contrast, report very low rates of productivity growth and technical change despite the deregulation process and expansion of activity for Spanish insurance firms for a relatively earlier period of 1987-1994 by employing Malmquist productivity indexes within the determinist”
- Technical efficiency and productivity differentials of dairy farms in three EU countries: the role of CAP subsidies (2012, background): “…the statistical ‘noise’ and using );,(ln 0 β t i t i t it yxDu −= , we obtain the normalized output distance function 6 (see Coelli and Perelman, 1999, Fuentes et al., 2001): itit t mi t i t i tt mi vuyyxDy ++=− );/,(lnln 0 β (1) where β is a vector of parameter to be estimated, itu is a…”