Productivity and Technical Change in a Public Service Enterprise

  • Michael D. Bradley
  • Jeffrey Colvin
Part of the Topics in Regulatory Economics and Policy Series book series (TREP, volume 31)

Abstract

Advances in the econometric measurement of productivity and technical change have taken place in recent years. These advances include use of generalized functional forms, quadratic time trends, interactive time trends, and the application of such techniques to panel data. These methods allow not only econometric estimation of productivity change, but also its decomposition into scale effects and neutral and non-neutral technological change.

Keywords

Productivity Growth Serial Correlation Technical Change Accounting Period Single Input Multiple Output 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baltagi, Badi H. 1996. “Testing for Individual and Time Effects Using a Gauss-Newton Regression.” Economics Letters 50 (No. 2, February): 189–192.CrossRefGoogle Scholar
  2. Baltagi, Badi H., and J.M. Griffin. 1988. “A General Index of Technical Change.” Journal of Political Economy 96 (No. 1., February): 20–41.CrossRefGoogle Scholar
  3. Baltagi, Badi H., and Q. Li. 1991. “A Transformation that will Circumvent the Problem of Autocorrelation in the Error Components Model.” Journal of Econometrics 48: 385–393.CrossRefGoogle Scholar
  4. Bhargava, A., L. Franzini, and W. Narendranathan. 1982. “Serial Correlation and the Fixed Effects Model.” Review of Economic Studies XLIX: 533–549.Google Scholar
  5. Bradley, Michael D., and Donald M. Baron. 1993. “Measuring Performance in a Multiproduct Firm: An Application to the U.S. Postal Service.” Operations Research 41 (No. 3, June): 450–458.CrossRefGoogle Scholar
  6. Kumbhakar, Subal C., and Lennart Hjalmarson. 1995. “Decomposing Technical Change with Panel Data: An Application to the Public Sector.” Scandinavian Journal of Economics 97 (2): 309–323.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Michael D. Bradley
  • Jeffrey Colvin

There are no affiliations available

Personalised recommendations