EconBase
← All papers

Testing for Structural Change under Nonstationarity

Christis Katsouris

arXiv 5 Feb 2023 · Econometrics

arXiv:2302.02370 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This Appendix (dated: July 2021) includes supplementary derivations related to the main limit results of the econometric framework for structural break testing in predictive regression models based on the OLS-Wald and IVX-Wald test statistics, developed by Katsouris C (2021). In particular, we derive the asymptotic distributions of the test statistics when the predictive regression model includes either mildly integrated or persistent regressors. Moreover, we consider the case in which a model intercept is included in the model vis-a-vis the case that the predictive regression model has no model intercept. In a subsequent version of this study we reexamine these particular aspects in more depth with respect to the demeaned versions of the variables of the predictive regression.

Citation extraction

0
references
0
in-text mentions
0
distinct cited
0
self-citations
10,629
main-text words

appendix boundary found by appendix_titled_section at “Supplementary Material” · 91% of the source is main text. Read the extracted text to check this.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Break-Point Date Estimation for Nonstationary Autoregressive and Predictive Regression Models0.87452
2BOOTSTRAPPING NONSTATIONARY AUTOREGRESSIVE PROCESSES WITH PREDICTIVE REGRESSION MODELS BY CHRISTIS KATSOURIS University of Southampton and University of Exeter0.40511
3Limit Theory under Network Dependence and Nonstationarity0.40511