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Microeconometric Models of Consumer and Producer Demand with Limited Dependent Variables

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  • Lee, Lung-Fei
  • Pitt, Mark M.

Abstract

The specification and estimation of models of consumer and producer demand with kink points are considered. The presence of kink points divides the demand or production schedule into different regimes. Our approach utilizes the concept of virtual prices. The virtual prices transform binding quantities into nonbinding ones and provide a rigorous justification for structural change in the observed demand functions across regimes. The comparison of virtual prices with market prices determines regime occurences. An application to energy demand in Indonesian manufacturing firms based on the translog cost function is provided.

Suggested Citation

  • Lee, Lung-Fei & Pitt, Mark M., 1984. "Microeconometric Models of Consumer and Producer Demand with Limited Dependent Variables," Bulletins 7495, University of Minnesota, Economic Development Center.
    • Handle: RePEc:ags:umedbu:7495
    DOI: 10.22004/ag.econ.7495
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    Cited by:

    1. Carlos Arias & Thomas Cox, 2001. "Estimation of a US dairy sector model by maximum simulated likelihood," Applied Economics, Taylor & Francis Journals, vol. 33(9), pages 1201-1211.
    2. Arias, Carlos & Cox, Thomas L., 1998. "Estimation Of A U.S. Dairy Sector Model By Maximum Simulated Likelihood," Staff Papers 12617, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    3. Arias, Carlos & Perali, Carlo Federico, 1999. "Exploring Alternatives For Estimating Systems Of Equations With Multiple Censored Variables: Farm Output Supply And Input Demand," 1999 Annual meeting, August 8-11, Nashville, TN 21591, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Stephen Pudney, 1988. "Estimating engel curves : a generalisation of the P-Tobit model," Finnish Economic Papers, Finnish Economic Association, vol. 1(2), pages 129-147, Autumn.

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    Keywords

    Demand and Price Analysis;

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