A Warp-Speed Method For Conducting Monte Carlo Experiments Involving Bootstrap Estimators
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- Raffaella Giacomini & Dimitris N. Politis & Halbert White, 2012. "A warp-speed method for conducting Monte Carlo experiments involving bootstrap estimators," CeMMAP working papers 11/12, Institute for Fiscal Studies.
- Raffaella Giacomini & Dimitris N. Politis & Halbert White, 2012. "A warp-speed method for conducting Monte Carlo experiments involving bootstrap estimators," CeMMAP working papers CWP11/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
References listed on IDEAS
- Kim, Jae H, 2001. "Bootstrap-after-Bootstrap Prediction Intervals for Autoregressive Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 117-128, January.
- Escanciano, J. Carlos & Velasco, Carlos, 2006.
"Generalized spectral tests for the martingale difference hypothesis,"
Journal of Econometrics, Elsevier, vol. 134(1), pages 151-185, September.
- Escanciano, Juan Carlos & Velasco, Carlos, 2003. "Generalized spectral tests for the martingale difference hypothesis," DES - Working Papers. Statistics and Econometrics. WS ws035312, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Davidson, Russell & MacKinnon, James G., 2007.
"Improving the reliability of bootstrap tests with the fast double bootstrap,"
Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3259-3281, April.
- James G. MacKinnon & Russell Davidson, 2006. "Improving The Reliability Of Bootstrap Tests With The Fast Double Bootstrap," Working Paper 1044, Economics Department, Queen's University.
- Russell Davidson & James Mackinnon, 2006. "Improving the reliability of bootstrap tests with the fast double bootstrap," Working Papers halshs-00439247, HAL.
- Dimitris N. Politis & Joseph P. Romano & Michael Wolf, 2004. "Inference for Autocorrelations in the Possible Presence of a Unit Root," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(2), pages 251-263, March.
- Davidson, Russell & MacKinnon, James G., 2002.
"Bootstrap J tests of nonnested linear regression models,"
Journal of Econometrics, Elsevier, vol. 109(1), pages 167-193, July.
- Davidson, R. & Mackinnon, J. G., 1995. "Bootstrap Tests of Nonnested Linear Regression Models," G.R.E.Q.A.M. 97a25, Universite Aix-Marseille III.
- Davidson, Russell & MacKinnon, James G., 1997. "Bootstrap Tests of Nonnested Linear Regression Models," Queen's Institute for Economic Research Discussion Papers 273388, Queen's University - Department of Economics.
- Davidson, R. & Mackinnon, J.G., 1997. "Bootstrap Tests of Nonnested Linear Regression Models," ASSET - Instituto De Economia Publica 170, ASSET (Association of Southern European Economic Theorists).
- Kilian, Lutz & Chang, Pao-Li, 2000. "How accurate are confidence intervals for impulse responses in large VAR models?," Economics Letters, Elsevier, vol. 69(3), pages 299-307, December.
- Canepa, Alessandra, 2006. "Small sample corrections for linear restrictions on cointegrating vectors: A Monte Carlo comparison," Economics Letters, Elsevier, vol. 91(3), pages 330-336, June.
- Andrew Patton & Dimitris Politis & Halbert White, 2009. "Correction to “Automatic Block-Length Selection for the Dependent Bootstrap” by D. Politis and H. White," Econometric Reviews, Taylor & Francis Journals, vol. 28(4), pages 372-375.
- Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 53-70.
- Russell Davidson & James MacKinnon, 2002. "Fast Double Bootstrap Tests Of Nonnested Linear Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 419-429.
- Li, Fuchun & Tkacz, Greg, 2006. "A consistent bootstrap test for conditional density functions with time-series data," Journal of Econometrics, Elsevier, vol. 133(2), pages 863-886, August.
- James G. MacKinnon & Russell Davidson, 2000. "Improving The Reliability Of Bootstrap Tests," Working Paper 995, Economics Department, Queen's University.
- Chen, Xiaoheng & Conley, Timothy G., 2001. "A new semiparametric spatial model for panel time series," Journal of Econometrics, Elsevier, vol. 105(1), pages 59-83, November.
- Whang, Yoon-Jae, 2000. "Consistent bootstrap tests of parametric regression functions," Journal of Econometrics, Elsevier, vol. 98(1), pages 27-46, September.
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