Testing and Inference in Nonlinear Cointegrating Vector Error Correction Models

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Dennis Kristensen, Anders Rahbek

We analyze estimators and tests for a general class of vector error correction models that allows for asymmetric and nonlinear error correction. For a given number of cointegration relationships, general hypothesis testing is considered, where testing for linearity is of particular interest. Under the null of linearity, parameters of nonlinear components vanish, leading to a nonstandard testing problem. We apply so-called sup-tests to resolve this issue, which requires development of new(uniform) functional central limit theory and results for convergence of stochastic integrals. We provide a full asymptotic theory for estimators and test statistics. The derived asymptotic results prove to be nonstandard compared to results found elsewhere in the literature due to the impact of the estimated cointegration relations. This complicates implementation of tests motivating the introduction of bootstrap versions that are simple to compute. A simulation study shows that the finite-sample properties of the bootstrapped tests are satisfactory with good size and power properties for reasonable sample sizes.
OriginalsprogEngelsk
TidsskriftEconometric Theory
Vol/bind29
Udgave nummer6
Sider (fra-til)1238-1288
ISSN0266-4666
DOI
StatusUdgivet - 2013

ID: 43956591