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Estimation Of A Direct Utility Function For Food Expenditures

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  • Young, Nathan
  • Senauer, Benjamin

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Suggested Citation

  • Young, Nathan & Senauer, Benjamin, 1988. "Estimation Of A Direct Utility Function For Food Expenditures," Staff Papers 13737, University of Minnesota, Department of Applied Economics.
    • Handle: RePEc:ags:umaesp:13737
    DOI: 10.22004/ag.econ.13737
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    File URL: https://ageconsearch.umn.edu/record/13737/files/p88-45.pdf
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    References listed on IDEAS

    as
    1. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    2. Amemiya, Takeshi, 1982. "Two Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 50(3), pages 689-711, May.
    3. Dale W. Jorgenson & Jean-Jacques Laffont, 1974. "Efficient Estimation of Nonlinear Simultaneous Equations with Additive Disturbances," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 615-640, National Bureau of Economic Research, Inc.
    4. Gallant, A. Ronald & Jorgenson, Dale W., 1979. "Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 275-302.
    5. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    6. BARTEN, Anton P., 1977. "The systems of consumer demand functions approach: A review," LIDAM Reprints CORE 284, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. repec:cor:louvrp:-284 is not listed on IDEAS
    8. Barten, Anton P, 1977. "The Systems of Consumer Demand Functions Approach: A Review," Econometrica, Econometric Society, vol. 45(1), pages 23-51, January.
    9. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
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