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An application of the residual deviance analysis in testing input separability restrictions

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  • Morteza Haghiri
  • Alireza Simchi

Abstract

Using the analysis of residual deviance, the separability of input in the Quebec dairy industry between 1990 and 1998 is examined. A nonparametric production regression function based on the theory of generalized additive models is estimated by using the spline smoothing approach. Results support that all additive inputs are separable.

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  • Morteza Haghiri & Alireza Simchi, 2005. "An application of the residual deviance analysis in testing input separability restrictions," Applied Economics Letters, Taylor & Francis Journals, vol. 12(12), pages 755-758.
    • Handle: RePEc:taf:apeclt:v:12:y:2005:i:12:p:755-758
    DOI: 10.1080/13504850500192424
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    References listed on IDEAS

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    1. Richmond, J, 2000. "Separability and Specification Tests," Economics Discussion Papers 8832, University of Essex, Department of Economics.
    2. Chen, R. & Härdle, Wolfgang & Linton, O. B. & Severance-Lossin, E., 1995. "Nonparametric Estimation of Additive Seperable Regression Models," SFB 373 Discussion Papers 1995,50, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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    Cited by:

    1. Morteza Haghiri, 2013. "Applied Nonparametric Regression Analysis: the Choice of Generalized Additive Models," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 25-34, February.

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