On Edgeworth Expansion and Moving Block Bootstrap for StudentizedM-Estimators in Multiple Linear Regression Models
AbstractThis paper considers the multiple linear regression modelYi=xi'[beta]+[var epsilon]i,i=i,Â ...,Â n, wherexi's are knownp-1 vectors,[beta]is ap-1 vector of parameters, and[var epsilon]1,[var epsilon]2, ... are stationary, strongly mixing random variables. Let[beta]ndenote anM-estimator of[beta]corresponding to some score function[psi]. Under some conditions on[psi],xi's and[var epsilon]i's, a two-term Edgeworth expansion for Studentized multivariateM-estimator is proved. Furthermore, it is shown that the moving block bootstrap is second-order correct for some suitable bootstrap analog of Studentized[beta]n.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Multivariate Analysis.
Volume (Year): 56 (1996)
Issue (Month): 1 (January)
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- Ching-Chuan Tsong, 2009. "Assessing the Accuracy of Event Forecasts," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 219-240, July.
- Atsushi Inoue & Mototsugu Shintani, 2001.
"Bootstrapping GMM Estimators for Time Series,"
Vanderbilt University Department of Economics Working Papers
0129, Vanderbilt University Department of Economics, revised Aug 2003.
- Härdle, Wolfgang & Horowitz, Joel L. & Kreiss, Jens-Peter, 2001. "Bootstrap methods for time series," SFB 373 Discussion Papers 2001,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Sílvia Gonçalves & Halbert White, 2002.
"Maximum Likelihood and the Bootstrap for Nonlinear Dynamic Models,"
CIRANO Working Papers
- Goncalves, Silvia & White, Halbert, 2004. "Maximum likelihood and the bootstrap for nonlinear dynamic models," Journal of Econometrics, Elsevier, vol. 119(1), pages 199-219, March.
- Goncalves, Silvia & White, Halbert, 2002. "Maximum Likelihood and the Bootstrap for Nonlinear Dynamic Models," University of California at San Diego, Economics Working Paper Series qt8hx21540, Department of Economics, UC San Diego.
- Goncalves, Silvia & White, Halbert, 2000. "Maximum Likelihood and the Bootstrap for Nonlinear Dynamic Models," University of California at San Diego, Economics Working Paper Series qt1bj657ff, Department of Economics, UC San Diego.
- Janis J. Zvingelis, 2000. "On Bootstrap Coverage Probability with Dependent Data," Econometric Society World Congress 2000 Contributed Papers 1231, Econometric Society.
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