Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models

Marc Hallin, Ramon van den Akker and Bas Werker

Working Papers ECARES from ULB -- Universite Libre de Bruxelles

Abstract: This paper introduces rank-based tests for the cointegrating rank in an Error CorrectionModel with i.i.d. elliptical innovations. The tests are asymptotically distribution-free,and their validity does not depend on the actual distribution of the innovations. Thisresult holds despite the fact that, depending on the alternatives considered, the model exhibitsa non-standard Locally Asymptotically Brownian Functional (LABF) and LocallyAsymptotically Mixed Normal (LAMN) local structure—a structure which we completelycharacterize. Our tests, which have the general form of Lagrange multiplier tests, dependon a reference density that can freely be chosen, and thus is not restricted to be Gaussianas in traditional quasi-likelihood procedures. Moreover, appropriate choices of the referencedensity are achieving the semiparametric efficiency bounds. Simulations show thatour asymptotic analysis provides an accurate approximation to finite-sample behavior.Our results are based on an extension, of independent interest, of two abstract resultson the convergence of statistical experiments and the asymptotic linearity of statistics tothe context of, possibly non-stationary, time series

Keywords: Cointegration model; Cointegration Rank; Elliptical densities; error correction model; Lagrange Multiplier test; local asymptotic Brownian Functional; Local asymptotic Mixed Normality; Local asymptotic Normality; Multivariate Ranks; non-Gaussian Quasi-Likelihood Procedures (search for similar items in EconPapers)
JEL-codes: C14 C32 (search for similar items in EconPapers)
Pages: 76 p.
Date: 2012-11
New Economics Papers: this item is included in nep-ecm and nep-ets
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Related works:
Working Paper: Rank-based Tests of the Cointegrating Rank in Semiparametric Error Correction Models (2012)
Working Paper: Rank-based Tests of the Cointegrating Rank in Semiparametric Error Correction Models (2012)
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