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Improved HAR Inference Author info | Abstract | Publisher info | Download info | Related research | Statistics Peter C.B. Phillips () (Cowles Foundation, Yale University )
Yixiao Sun (Dept. Economics, UCLA, San Diego)
Sainan Jin (Guanghua School of Management, Peking University)
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registered author(s):
Employing power kernels suggested in earlier work by the authors (2003), this paper shows how to re.ne methods of robust inference on the mean in a time series that rely on families of untruncated kernel estimates of the long-run parameters. The new methods improve the size properties of heteroskedastic and autocorrelation robust (HAR) tests in comparison with conventional methods that employ consistent HAC estimates, and they raise test power in comparison with other tests that are based on untruncated kernel estimates. Large power parameter (rho) asymptotic expansions of the nonstandard limit theory are developed in terms of the usual limiting chi-squared distribution, and corresponding large sample size and large rho asymptotic expansions of the finite sample distribution of Wald tests are developed to justify the new approach. Exact finite sample distributions are given using operational techniques. The paper further shows that the optimal rho that minimizes a weighted sum of type I and II errors has an expansion rate of at most O(T^{1/2}) and can even be O(1) for certain loss functions, and is therefore slower than the O(T^{2/3}) rate which minimizes the asymptotic mean squared error of the corresponding long run variance estimator. A new plug-in procedure for implementing the optimal rho is suggested. Simulations show that the new plug-in procedure works well in finite samples.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
1513.
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Length: 51 pages
Date of creation: Jun 2005Date of revision:
Handle: RePEc:cwl:cwldpp:1513Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
For technical questions regarding this item, or to correct its listing, contact: (Glena Ames).
Keywords: Asymptotic expansion ; consistent HAC estimation ; data-determined kernel estimation ; exact distribution ; HAR inference ; large rho asymptotics ; long run variance ; loss function ; power parameter ; sharp origin kernel ; Other versions of this item:
Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Michael Jansson, 2004.
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Other versions: Donggyu Sul & Peter C.B. Phillips & Choi, Chi-Young, 2003.
"Prewhitening Bias in HAC Estimation ,"
Cowles Foundation Discussion Papers
1436, Cowles Foundation, Yale University.
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Peter C.B. Phillips & Chi-Young Choi & Donggyu Sul, 2004.
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Yale School of Management Working Papers
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Other versions: Jansson, Michael, 2002.
"Consistent Covariance Matrix Estimation For Linear Processes ,"
Econometric Theory ,
Cambridge University Press, vol. 18(06), pages 1449-1459, December.
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Peter C. B. Phillips & Yixiao Sun & Sainan Jin, 2003.
"Consistent HAC Estimation and Robust Regression Testing Using Sharp Origin Kernels with No Truncation ,"
University of California at San Diego, Economics Working Paper Series
2003-05, Department of Economics, UC San Diego.
[Downloadable!]
Other versions:
Sainan Jin & Peter Phillips & Yixiao Sun, 2004.
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Econometric Society 2004 North American Winter Meetings
299, Econometric Society.
[Downloadable!] Peter C.B. Phillips & Yixiao Sun & Sainan Jin, 2003.
"Consistent HAC Estimation and Robust Regression Testing Using Sharp Origin Kernels with No Truncation ,"
Cowles Foundation Discussion Papers
1407, Cowles Foundation, Yale University.
[Downloadable!] Peter C.B. Phillips & Sainan Jin & Yixiao Sun, 2004.
"Consistent HAC Estimation and Robust Regression Testing Using Sharp Origin Kernels with No Truncation ,"
Yale School of Management Working Papers
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"A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix ,"
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0055, National Bureau of Economic Research, Inc.
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Other versions:
Newey, Whitney K & West, Kenneth D, 1987.
"A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix ,"
Econometrica ,
Econometric Society, vol. 55(3), pages 703-08, May.
[Downloadable!] (restricted) Robert M. De Jong & James Davidson, 2000.
"Consistency of Kernel Estimators of Heteroscedastic and Autocorrelated Covariance Matrices ,"
Econometrica ,
Econometric Society, vol. 68(2), pages 407-424, March.
Other versions: Velasco, Carlos & Robinson, Peter M., 2001.
"Edgeworth Expansions For Spectral Density Estimates And Studentized Sample Mean ,"
Econometric Theory ,
Cambridge University Press, vol. 17(03), pages 497-539, June.
[Downloadable!]
Yixiao Sun, 2003.
"Estimation of the Long-run Average Relationship in Nonstationary Panel Time Series ,"
University of California at San Diego, Economics Working Paper Series
2003-06, Department of Economics, UC San Diego.
[Downloadable!]
Hansen, Bruce E, 1992.
"Consistent Covariance Matrix Estimation for Dependent Heterogeneous Processes ,"
Econometrica ,
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Peter C.B. Phillips, 1990.
"Operational Algebra and Regression t-Tests ,"
Cowles Foundation Discussion Papers
948, Cowles Foundation, Yale University.
[Downloadable!]
Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Peter Phillips & Yixiao Sun & Sainan Jin, 2004.
"Spectral Density Estimation and Robust Hypothesis Testing Using Steep Origin Kernels Without Truncation ,"
University of California at San Diego, Economics Working Paper Series
2004-15, Department of Economics, UC San Diego.
[Downloadable!]
Other versions: Barbier de la Serre, A. & Frappa, S. & Montornès, J. & Murez, M., 2008.
"La transmission des taux de marché aux taux bancaires : une estimation sur données individuelles françaises ,"
Documents de Travail
194, Banque de France.
[Downloadable!]
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