Subsampling confidence intervals for the autoregressive root
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References listed on IDEAS
- Elliott, Graham & Stock, James H., 1994.
"Inference in Time Series Regression When the Order of Integration of a Regressor is Unknown,"
Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 672-700, August.
- Graham Elliott & James H. Stock, 1992. "Inference in Time Series Regression When the Order of Integration of a Regressor is Unknown," NBER Technical Working Papers 0122, National Bureau of Economic Research, Inc.
- Politis, D. N. & Romano, Joseph P. & Wolf, Michael, 1997. "Subsampling for heteroskedastic time series," Journal of Econometrics, Elsevier, vol. 81(2), pages 281-317, December.
- Stock, James H., 1991.
"Confidence intervals for the largest autoregressive root in U.S. macroeconomic time series,"
Journal of Monetary Economics, Elsevier, vol. 28(3), pages 435-459, December.
- James H. Stock, 1991. "Confidence Intervals for the Largest Autoresgressive Root in U.S. Macroeconomic Time Series," NBER Technical Working Papers 0105, National Bureau of Economic Research, Inc.
- Cavanagh, Christopher L. & Elliott, Graham & Stock, James H., 1995. "Inference in Models with Nearly Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 11(5), pages 1131-1147, October.
Citations
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Cited by:
- Bruce E. Hansen, 1999.
"The Grid Bootstrap And The Autoregressive Model,"
The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 594-607, November.
- Hansen,B.E., 1998. "The grid bootstrap and the autoregressive model," Working papers 26, Wisconsin Madison - Social Systems.
- Politis, Dimitris N. & Wolf, Michael & Romano, Joseph P., 1999. "Subsampling, symmetrization, and robust interpolation," DES - Working Papers. Statistics and Econometrics. WS 6343, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Efstathios Paparoditis & Dimitris Politis, 2000. "Large-sample inference in the general AR(1) model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(2), pages 487-509, December.
- Atsushi Inoue & Lutz Kilian, 2002.
"Bootstrapping Autoregressive Processes with Possible Unit Roots,"
Econometrica, Econometric Society, vol. 70(1), pages 377-391, January.
- Atsushi Inoue & Lutz Kilian, 2000. "Bootstrapping Autoregressive Processes with Possible Unit Roots," Econometric Society World Congress 2000 Contributed Papers 0401, Econometric Society.
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