Hualde, Javier and Robinson, Peter M. (2006) Semiparametric Estimation of Fractional Cointegration. . Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.
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Abstract
A semiparametric bivariate fractionally cointegrated system is considered, integration orders possibly being unknown and I (0) unobservable inputs having nonparametric spectral density. Two kinds of estimate of the cointegrating parameter ν are considered, one involving inverse spectral weighting and the other, unweighted statistics with a spectral estimate at frequency zero. We establish under quite general conditions the asymptotic distributional properties of the estimates of ν, both in case of “strong cointegration” (when the difference between integration orders of observables and cointegrating errors exceeds 1/2) and in case of “weak cointegration” (when that difference is less than 1/2), which includes the case of (asymptotically) stationary observables. Across both cases, the same Wald test statistic has the same standard null χ2 limit distribution, irrespective of whether integration orders are known or estimated. The regularity conditions include unprimitive ones on the integration orders and spectral density estimates, but we check these under more primitive conditions on particular estimates. Finite-sample properties are examined in a Monte Carlo study.
Item Type: | Monograph (Discussion Paper) |
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Official URL: | http://sticerd.lse.ac.uk |
Additional Information: | © 2006 the author |
Divisions: | Economics STICERD |
Subjects: | H Social Sciences > HB Economic Theory |
JEL classification: | C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C32 - Time-Series Models |
Date Deposited: | 28 Apr 2008 15:21 |
Last Modified: | 13 Sep 2024 20:01 |
URI: | http://eprints.lse.ac.uk/id/eprint/4537 |
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