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Imposing inequality restrictions: efficiency gains from economic theory

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  • Dorfman, Jeffrey H.
  • McIntosh, Christopher S.
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    File URL: http://www.sciencedirect.com/science/article/B6V84-42PBYFK-8/2/0e360d463d97cacc993d81743893d2c7
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    Bibliographic Info

    Article provided by Elsevier in its journal Economics Letters.

    Volume (Year): 71 (2001)
    Issue (Month): 2 (May)
    Pages: 205-209

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    Handle: RePEc:eee:ecolet:v:71:y:2001:i:2:p:205-209

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    Web page: http://www.elsevier.com/locate/ecolet

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    References

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    1. Judge, George G. & Yancey, Thomas A., 1981. "Sampling properties of an inequality restricted estimator," Economics Letters, Elsevier, vol. 7(4), pages 327-333.
    2. 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 127-41, April.
    3. Terrell, Dek, 1996. "Incorporating Monotonicity and Concavity Conditions in Flexible Functional Forms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 179-94, March-Apr.
    4. Geweke, John, 1988. "Antithetic acceleration of Monte Carlo integration in Bayesian inference," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 73-89.
    5. Poirier, Dale J, 1991. "A Bayesian View of Nominal Money and Real Output through a New Classical Macroeconomic Window," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 125-48, April.
    6. Rothenberg, Thomas J. & Stock, James H., 1997. "Inference in a nearly integrated autoregressive model with nonnormal innovations," Journal of Econometrics, Elsevier, vol. 80(2), pages 269-286, October.
    7. Wright, Jonathan H, 2000. "Confidence Intervals for Univariate Impulse Responses with a Near Unit Root," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 368-73, July.
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    Cited by:
    1. Lima Neto, Eufrásio de A. & de Carvalho, Francisco de A.T., 2010. "Constrained linear regression models for symbolic interval-valued variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 333-347, February.

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