Showing 1 - 10 of 25
Persistent link: https://www.econbiz.de/10010752170
Elliott and Müller (2006) considered the problem of testing for general types of parameter variations, including infrequent breaks. They developed a framework that yields optimal tests, in the sense that they nearly attain some local Gaussian power envelop. The main ingredient in their setup is...
Persistent link: https://www.econbiz.de/10011144003
We consider the problem of estimating and testing for multiple breaks in a single‐equation framework with regressors that are endogenous, i.e. correlated with the errors. We show that even in the presence of endogenous regressors it is still preferable, in most cases, to simply estimate the...
Persistent link: https://www.econbiz.de/10011144495
We provide methods for estimating and testing multiple structural changes occurring at unknown dates in linear models using band spectral regressions. We consider changes over time within some frequency bands, permitting the coefficients to be different across frequency bands. Using standard...
Persistent link: https://www.econbiz.de/10010614076
Persistent link: https://www.econbiz.de/10010826395
This paper considers methods for estimating and testing multiple structural changes occuring at unknown dates in linear models using band spectral regressions. We con- sider changes over time within some frequency bands, permitting the coefficients to be di¤erent across frequency bands. Using...
Persistent link: https://www.econbiz.de/10010779523
We consider the problem of estimating and testing for multiple breaks in a single equation framework with regressors that are endogenous, i.e., correlated with the errors. We show that even in the presence of endogenous regressors, it is still preferable to simply estimate the break dates and...
Persistent link: https://www.econbiz.de/10010779525
This note provides a simple proof for the problem of estimating and testing for multiple breaks in a single equation framework with regressors that are endogenous, i.e., correlated with the errors. We show based on standard assumptions about the regressors, instruments and errors that the second...
Persistent link: https://www.econbiz.de/10010779526
Persistent link: https://www.econbiz.de/10012636179
We provide a comprehensive treatment for the problem of testing jointly for structural changes in both the regression coefficients and the variance of the errors in a single equation system involving stationary regressors. Our framework is quite general in that we allow for general mixing‐type...
Persistent link: https://www.econbiz.de/10012637246