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On the single and multiple time trends representation of technical change

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  • Almas Heshmati

Abstract

This paper is concerned with the estimation of production functions and measurement of the rate of technical change. Multiple time trends are introduced as an alternative to the single time trend representation of technical change. The underlying technology is represented by Cobb-Douglas and translog functional forms. Random effects models with homoscedastic variances is assumed. The models are estimated using the generalized least squares method. The data used are a large rotating panel data set from Swedish crop producer farms over the period 1976-1988. The empirical results show that a single or multiple time trends representation yield different time behaviour of technical change. The latter is found to perform much better.

Suggested Citation

  • Almas Heshmati, 1996. "On the single and multiple time trends representation of technical change," Applied Economics Letters, Taylor & Francis Journals, vol. 3(8), pages 495-499.
    • Handle: RePEc:taf:apeclt:v:3:y:1996:i:8:p:495-499
    DOI: 10.1080/135048596356104
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    1. Nijman, Theo & Verbeek, Marno & van Soest, Arthur, 1991. "The efficiency of rotating-panel designs in an analysis-of-variance model," Journal of Econometrics, Elsevier, vol. 49(3), pages 373-399, September.
    2. Baltagi, Badi H & Raj, Baldev, 1992. "A Survey of Recent Theoretical Developments in the Econometrics of Panel Data," Empirical Economics, Springer, vol. 17(1), pages 85-109.
    3. Baltagi, Badi H & Griffin, James M, 1988. "A General Index of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 20-41, February.
    4. Baltagi, Badi H & Griffin, James M, 1988. "A Generalized Error Component Model with Heteroscedastic Disturbances," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(4), pages 745-753, November.
    5. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
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    1. 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), pages 1-16, January.
    2. 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.
    3. Kim, Nam-Seok & Heshmati, Almas, 2017. "The Relationship between Economic Growth and Democracy: Alternative Representations of Technological Change," GLO Discussion Paper Series 85, Global Labor Organization (GLO).
    4. Julio de Brun & Nestor Gandelman & Eduardo Barbieri, 2001. "Investment equations and financial restrictions at firm level: the case of Uruguay," Documentos de Investigación 11, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    5. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen & Thia Hennessy, 2018. "The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 669-687, September.
    6. Bory Seng, 2010. "The Driving Forces Underlying the Growth of Total Factor Productivity in Cambodia," TEMEP Discussion Papers 201068, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    7. Suzanne O’Neill & Alan Matthews, 2001. "Technical Change and Efficiency in Irish Agriculture," The Economic and Social Review, Economic and Social Studies, vol. 32(3), pages 263-284.
    8. Heshmati, Almas, 2002. "Productivity measurement in Swedish departments of gynecology and obstetrics," Structural Change and Economic Dynamics, Elsevier, vol. 13(3), pages 315-336, September.

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