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Shrinkage estimation in nonlinear regression The Box-Cox transformation

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  • Kim, Minbo
  • CarterHill, R.

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  • Kim, Minbo & CarterHill, R., 1995. "Shrinkage estimation in nonlinear regression The Box-Cox transformation," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 1-33.
    • Handle: RePEc:eee:econom:v:66:y:1995:i:1-2:p:1-33
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    References listed on IDEAS

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    1. Adkins, Lee C. & Hill, R. Carter, 1989. "Risk characteristics of a stein-like estimator for the probit regression model," Economics Letters, Elsevier, vol. 30(1), pages 19-26.
    2. Amemiya, Takeshi & Powell, James L., 1981. "A comparison of the Box-Cox maximum likelihood estimator and the non-linear two-stage least squares estimator," Journal of Econometrics, Elsevier, vol. 17(3), pages 351-381, December.
    3. Maasoumi, Esfandiar, 1978. "A Modified Stein-like Estimator for the Reduced Form Coefficients of Simultaneous Equations," Econometrica, Econometric Society, vol. 46(3), pages 695-703, May.
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    Cited by:

    1. S. K. Sapra, 2003. "Pre-test estimation in Poisson regression model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(9), pages 541-543.
    2. R. Carter Hill & Tong Zeng, 2014. "Shrinkage Estimation in the Random Parameters Logit Model," Departmental Working Papers 2014-11, Department of Economics, Louisiana State University.
    3. McMillen, Daniel & O’Sullivan, Arthur, 2013. "Option value and the price of teardown properties," Journal of Urban Economics, Elsevier, vol. 74(C), pages 71-82.
    4. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    5. Čížek, Pavel, 2004. "(Non) Linear Regression Modeling," Papers 2004,11, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    6. S. Hossain & S. Ejaz Ahmed & Grace Y. Yi & B. Chen, 2016. "Shrinkage and pretest estimators for longitudinal data analysis under partially linear models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(3), pages 531-549, September.

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