Decomposing Technical Change with Panel Data: An Application to the Public Sector
AbstractThe estimation of technical change in panel data models is considered using two competing models: the time trend model and the general index model. The authors' measure of technical change in both models is based on the input requirement function. Technical change is further decomposed into pure and nonneutral components. Empirically, focus is on measuring technical change in 366 Swedish Social Insurance Offices during the time period 1974-87 on the basis of a translog input (labor) requirement function with four outputs (services). Copyright 1995 by The editors of the Scandinavian Journal of Economics.
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Scandinavian Journal of Economics.
Volume (Year): 97 (1995)
Issue (Month): 2 (June)
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Web page: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-9442
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- Karagiannis, Giannis & Midmore, Peter & Tzouvelekas, Vangelis, 1999.
"Separating Technical Change From Time-Varying Technical Inefficiency In The Absence Of Distributional Assumptions,"
11842, Agecon Search.
- G. Karagiannis & P. Midmore & V. Tzouvelekas, 2002. "Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 23-38, July.
- Tzouvelekas, Evaggelos, 2000. "Approximation Properties and Estimation of the Translog Production Function with Panel Data," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 1(1), January.
- Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, . "Parametric Decomposition Of Output Growth," Working Papers 0204, University of Crete, Department of Economics.
- Karagiannis, Giannis & Midmore, Peter & Tzouvelekas, Vangelis, 2002. "Parametric Decomposition of Output Growth: An Input-Distance Function Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24972, European Association of Agricultural Economists.
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