Authors: Stypka, Oliver
Grabarczyk, Peter
Kawka, Rafael
Wagner, Martin
Title: “Linear” fully modified OLS estimation of cointegrating polynomial regressions
Language (ISO): en
Abstract: A large part of the empirical environmental Kuznets curve literature uses cointegrating regressions involving a unit root process and its powers as regressors. In this literature the unit root process and its powers are, incorrectly, all treated as integrated processes and modified least squares estimation methods for linear cointegrating regressions are routinely employed. We show that this approach to estimation leads for the Fully Modified OLS estimator surprisingly to the same limiting distribution as obtained for the version of the Fully Modified OLS estimator adapted to the cointegrating polynomial regression setting of Wagner and Hong (2016).
Subject Headings: cointegrating polynomial regression
nonlinearity
integrated process
fully modified OLS estimation
cointegration test
environmental Kuznets curve
URI: http://hdl.handle.net/2003/35393
http://dx.doi.org/10.17877/DE290R-17434
Issue Date: 2016
Appears in Collections:Sonderforschungsbereich (SFB) 823

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