Which Matters Most to the Estimation of Efficiency and Productivity Growth in State Manufacturing: Method or Measurement?
The measurement of efficiency and productivity growth at the regional level requires the researcher to select among several choices for capital estimation and methodology. We look at two capital estimation techniques, by Munnell and by Garofalo and Yamarik, and two methodologies, data envelopment analysis and stochastic frontier estimation. The measurement of efficiency does not appear to be very sensitive to the choice of capital or technique. However, the measurement of productivity is sensitive to the choice of an estimation technique for a given measure of capital.
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- Gasper A. Garofalo & Steven Yamarik, 2002. "Regional Convergence: Evidence From A New State-By-State Capital Stock Series," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 316-323, May.
- Holtz-Eakin, Douglas, 1994. "Public-Sector Capital and the Productivity Puzzle," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 12-21, February.
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- Alicia H. Munnell, 1990.
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- Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-48, September.
- Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
- Weber, William L. & Domazlicky, Bruce R., 1999. "Total factor productivity growth in manufacturing: a regional approach using linear programming," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 105-122, January.
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