Efficient shrinkage in parametric models
Author
Abstract
Suggested Citation
DOI: 10.1016/j.jeconom.2015.09.003
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- 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.
- Liao, Zhipeng, 2013. "Adaptive Gmm Shrinkage Estimation With Consistent Moment Selection," Econometric Theory, Cambridge University Press, vol. 29(5), pages 857-904, October.
- 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.
- 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.
- 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.
- Hansen, Bruce E., 2015. "Shrinkage Efficiency Bounds," Econometric Theory, Cambridge University Press, vol. 31(4), pages 860-879, August.
- 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.
- Bruce E. Hansen, 2007. "Least Squares Model Averaging," Econometrica, Econometric Society, vol. 75(4), pages 1175-1189, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Edvard Bakhitov, 2020. "Frequentist Shrinkage under Inequality Constraints," Papers 2001.10586, arXiv.org.
- Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
- Kitagawa, Toru & Muris, Chris, 2016.
"Model averaging in semiparametric estimation of treatment effects,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 46/15, Institute for Fiscal Studies.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lewbel, Arthur & Choi, Jin Young & Zhou, Zhuzhu, 2023.
"Over-identified Doubly Robust identification and estimation,"
Journal of Econometrics, Elsevier, vol. 235(1), pages 25-42.
- Arthur Lewbel & Jin-Young Choi & Zhuzhu Zhou, 2019. "Over-Identified Doubly Robust Identification and Estimation," Boston College Working Papers in Economics 1003, Boston College Department of Economics, revised 15 Jan 2022.
- Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023.
"Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals,"
Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1637-1664, April.
- Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," Tinbergen Institute Discussion Papers 21-038/III, Tinbergen Institute.
- Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," EIEF Working Papers Series 2108, Einaudi Institute for Economics and Finance (EIEF), revised May 2021.
- Xu Cheng & Zhipeng Liao & Ruoyao Shi, 2013. "Uniform Asymptotic Risk of Averaging GMM Estimator Robust to Misspecification, Second Version," PIER Working Paper Archive 15-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Mar 2015.
- Shou-Yung Yin & Chu-An Liu & Chang-Ching Lin, 2021.
"Focused Information Criterion and Model Averaging for Large Panels With a Multifactor Error Structure,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 54-68, January.
- Shou-Yung Yin & Chu-An Liu & Chang-Ching Lin, 2016. "Focused Information Criterion and Model Averaging for Large Panels with a Multifactor Error Structure," IEAS Working Paper : academic research 16-A016, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Boot, Tom, 2023. "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1542-1563.
- Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
- Timothy B. Armstrong & Michal Kolesár, 2021.
"Sensitivity analysis using approximate moment condition models,"
Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong & Michal Kolesár, 2020. "Sensitivity Analysis using Approximate Moment Condition Models," Working Papers 2020-28, Princeton University. Economics Department..
- Timothy B. Armstrong & Michal Koles'ar, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Papers 1808.07387, arXiv.org, revised Jul 2020.
- Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
- Xun Lu, 2015. "A Covariate Selection Criterion for Estimation of Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 506-522, October.
- Liao, Jun & Zou, Guohua, 2020. "Corrected Mallows criterion for model averaging," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
- Mark F. J. Steel, 2020.
"Model Averaging and Its Use in Economics,"
Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
- Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
- Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
- Christian Brownlees & Vladislav Morozov, 2022. "Unit Averaging for Heterogeneous Panels," Papers 2210.14205, arXiv.org, revised May 2024.
- Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
- Shangwei Zhao & Aman Ullah & Xinyu Zhang, 2018. "A Class of Model Averaging Estimators," Working Paper series 18-11, Rimini Centre for Economic Analysis.
- Chu-An Liu & Biing-Shen Kuo & Wen-Jen Tsay, 2017. "Autoregressive Spectral Averaging Estimator," IEAS Working Paper : academic research 17-A013, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Zhang, Xiaomeng & Zhang, Xinyu, 2023. "Optimal model averaging based on forward-validation," Journal of Econometrics, Elsevier, vol. 237(2).
- Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Sun, Yuying & Zhang, Xinyu & Wan, Alan T.K. & Wang, Shouyang, 2022. "Model averaging for interval-valued data," European Journal of Operational Research, Elsevier, vol. 301(2), pages 772-784.
More about this item
Keywords
James–Stein; Nonlinear; Maximum likelihood; Minimax;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:econom:v:190:y:2016:i:1:p:115-132. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jeconom .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.