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Non-Parametric Estimation of Technical Progress

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  • Kevin Fox

Abstract

The modelling of technical progress in a production economy is a problem of great interest. Non-parametric approximation of technical progress through the use of an adaptively fitted spline function is presented as an attractive solution. An application demonstrates the sensitivity of estimates of technical progress and price elasticities to the specification of the time trend. Copyright Kluwer Academic Publishers 1998

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  • Kevin Fox, 1998. "Non-Parametric Estimation of Technical Progress," Journal of Productivity Analysis, Springer, vol. 10(3), pages 235-250, November.
    • Handle: RePEc:kap:jproda:v:10:y:1998:i:3:p:235-250
    DOI: 10.1023/A:1018671204816
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    References listed on IDEAS

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    1. Diewert, W E & Wales, T J, 1992. "Quadratic Spline Models for Producer's Supply and Demand Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 705-722, August.
    2. Fuller, Wayne A., 1969. "Grafted Polynomials As Approximating Functions," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 13(1), pages 1-12, June.
    3. W. E. Diewert & T. J. Wales, 1993. "Linear and Quadratic Spline Models for Consumer Demand Functions," Canadian Journal of Economics, Canadian Economics Association, vol. 26(1), pages 77-106, February.
    4. Wayne A. Fuller, 1969. "Grafted Polynomials As Approximating Functions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 13(1), pages 35-46, June.
    5. Diewert, W. E. & Wales, T. J., 1995. "Flexible functional forms and tests of homogeneous separability," Journal of Econometrics, Elsevier, vol. 67(2), pages 259-302, June.
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    Cited by:

    1. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    2. Pavlos Almanidis & Giannis Karagiannis & Robin Sickles, 2015. "Semi-nonparametric spline modifications to the Cornwell–Schmidt–Sickles estimator: an analysis of US banking productivity," Empirical Economics, Springer, vol. 48(1), pages 169-191, February.
    3. Kevin J. Fox & Ulrich Kohli & Alice Shiu, 2010. "Trade Agreements and Trade Opportunities: A Flexible Approach for Modeling Australian Export and Import Elasticities," Review of International Economics, Wiley Blackwell, vol. 18(3), pages 513-530, August.
    4. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2018. "Estimation of technical change and price elasticities: a categorical time–varying coefficient approach," Journal of Productivity Analysis, Springer, vol. 50(3), pages 117-138, December.
    5. W. Erwin Diewert, 2022. "Duality in Production," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 3, pages 57-168, Springer.
    6. Lorraine Ivancic & Kevin J. Fox, 2013. "Understanding Price Variation Across Stores and Supermarket Chains: Some Implications for CPI Aggregation Methods," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 629-647, December.

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