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Choice of representation system for economic analysis

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  • Hang Keun Ryu

Abstract

Many well-known economic assumptions and desired restrictions can be readily established with the proper choice of a coordinate representation system. For example, the homotheticity assumption can be readily established with the polar coordinate system, the concavity restriction with the Muntz-Sartz series, the convexity restriction with the polynomial series, the orthogonality of regression functions with the orthonormal bases expansion, and the covariance stationary process with the Fourier series expansion. To describe a backward-bending curve, the radial regression can be defined and utilized. Thus, many economic assumptions and desired properties have their own corresponding coordinate representation systems.

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  • Hang Keun Ryu, 2003. "Choice of representation system for economic analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 863-866.
    • Handle: RePEc:taf:apeclt:v:10:y:2003:i:13:p:863-866
    DOI: 10.1080/1350485032000160417
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    References listed on IDEAS

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    1. Ryu, Hang K. & Slottje, Daniel J., 1996. "Two flexible functional form approaches for approximating the Lorenz curve," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 251-274.
    2. William A. Barnett & Michael Wolfe, 2004. "Semi-nonparametric Bayesian Estimation of the Asymptotically Ideal Production Model1," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 303-349, Emerald Group Publishing Limited.
    3. Geweke, John, 1986. "Exact Inference in the Inequality Constrained Normal Linear Regression Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 127-141, April.
    4. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521424318.
    5. Arnold Zellner & Hang Ryu, 1998. "Alternative functional forms for production, cost and returns to scale functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-127.
    6. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521370905.
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