 Testing for Linearity in Regressions with I(1) processesNo CIRJE-F-303, CIRJE F-Series from CIRJE, Faculty of Economics, University of Tokyo Abstract: In this paper we propose a generalized version of the RESET test for linearity in regressions with I(1) processes against various nonlinear alternatives and no cointegration. The proposed test statistic for linearity is given by the Wald statistic and its limiting distribution under the null hypothesis of linearity is shown to be a x2 distribution when a "leads and lags" estimation technique is employed to construct the test statistic. We show that the test is consistent against a class of nonlinear alternatives and no cointegration. This class includes polynomial functions of finite order, the logarithmic function, and the distribution function of any random variable and its scalar multiple. Finite?sample simulations show that the empirical size of the test is close to the nominal one and the test succeeds in detecting both nonlinearity in the class and no cointegration. We apply the test to see if relationships between exchange rates and fundamentals are linear and find significant evidence against linearity for all countries considered. New Economics Papers: this item is included in nep-ecm and nep-ets Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: http://EconPapers.repec.org/RePEc:tky:fseres:2004cf303 Access Statistics for this paper More papers in CIRJE F-Series from CIRJE, Faculty of Economics, University of Tokyo |
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