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A Gaussian IV estimator of cointegrating relations Author info | Abstract | Publisher info | Download info | Related research | Statistics Gunnar Bårdsen
Niels Haldrup () (Department of Economics, University of Aarhus, Denmark)
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In static single equation cointegration regression models the OLS estimator will have a non-standard distribution unless regressors are strictly exogenous. In the literature a number of estimators have been suggested to deal with this problem, especially by the use of semi-nonparametric estimators. Theoretically ideal instruments can be defined to ensure a limiting Gaussian distribution of IV estimators, but unfortunately such instruments are unlikely to be found in real data. In the present paper we suggest an IV estimator where the Hodrick-Prescott filtered trends are used as instruments for the regressors in cointegrating regressions. These instruments are almost ideal and simulations show that the IV estimator using such instruments alleviate the endogeneity problem extremely well in both finite and large samples.
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Paper provided by School of Economics and Management, University of Aarhus in its series Economics Working Papers with number
2006-03.
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Length: 19
Date of creation: 16 Feb 2006Date of revision:
Handle: RePEc:aah:aarhec:2006-03Contact details of provider: Web page: http://www.econ.au.dk/afn/
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Keywords: Cointegration ; Instrumental variables ; Mixed Gaussianity. ; Find related papers by JEL classification: C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
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