Efficient shrinkage in parametric models
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DOI: 10.1016/j.jeconom.2015.09.003
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References listed on IDEAS
- DiTraglia, Francis J., 2016.
"Using invalid instruments on purpose: Focused moment selection and averaging for GMM,"
Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
- Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM," PIER Working Paper Archive 14-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 04 Aug 2014.
- Liu, Chu-An, 2015.
"Distribution theory of the least squares averaging estimator,"
Journal of Econometrics, Elsevier, vol. 186(1), pages 142-159.
- Liu, Chu-An, 2013. "Distribution Theory of the Least Squares Averaging Estimator," MPRA Paper 54201, University Library of Munich, Germany.
- Hansen, Bruce E., 2015. "Shrinkage Efficiency Bounds," Econometric Theory, Cambridge University Press, vol. 31(4), pages 860-879, August.
- Casella, George & Hwang, Jiunn Tzon, 1987. "Employing vague prior information in the construction of confidence sets," Journal of Multivariate Analysis, Elsevier, vol. 21(1), pages 79-104, February.
- Oman, Samuel D., 1982. "Contracting towards subspaces when estimating the mean of a multivariate normal distribution," Journal of Multivariate Analysis, Elsevier, vol. 12(2), pages 270-290, June.
- Berger, James, 1976. "Minimax estimation of a multivariate normal mean under arbitrary quadratic loss," Journal of Multivariate Analysis, Elsevier, vol. 6(2), pages 256-264, June.
- Liao, Zhipeng, 2013. "Adaptive Gmm Shrinkage Estimation With Consistent Moment Selection," Econometric Theory, Cambridge University Press, vol. 29(5), pages 857-904, October.
- Bruce E. Hansen, 2007. "Least Squares Model Averaging," Econometrica, Econometric Society, vol. 75(4), pages 1175-1189, July.
- Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 14-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2014.
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Keywords
James–Stein; Nonlinear; Maximum likelihood; Minimax;All these keywords.
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