This paper is concerned with the estimation of first-order autoregressive/unit root models with independent identically distributed normal errors. The models considered include those without an intercept, those with an intercept, and those with an intercept and time trend. The autoregressive (AR) parameter alpha is allowed to lie in the interval (-1,1], which includes the case of a unit root. Exactly median-unbiased estimators of the AR parameter alpha are proposed. Exact confidence intervals for this parameter are introduced. Corresponding exactly median-unbiased estimators and exact confidence intervals are also provided for the impulse response function and the cumulative impulse response. An unbiased model selection procedure is discussed. The procedures that are introduced are applied to several data series including real exchange rates, the velocity of money, and industrial production.
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Length: 45 pages Date of creation: Apr 1991 Date of revision: Publication status: Published in Econometrica (January 1993), 61(1): 139-165 Handle: RePEc:cwl:cwldpp:975
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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Evans, G B A & Savin, N E, 1981.
"Testing for Unit Roots: 1,"
Econometrica,
Econometric Society, vol. 49(3), pages 753-79, May.
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