(Consistently) testing strict exogeneity against the alternative of predeterminedness in linear time-series models
Alexander Mayer
Economics Letters, 2020, vol. 193, issue C
Abstract:
A portmanteau and a maximum statistic are proposed to discern strictly exogenous from predetermined regressors. Both test statistics rely on residual cross-correlations, pre-whitened via autoregressive sieves. Limiting normality of the portmanteau statistic and Gumbel-convergence of the maximum statistic are derived.
Keywords: Strict exogeneity; Long autoregressions; Kernel function; Extreme value theory; Many regressors/instruments (search for similar items in EconPapers)
JEL-codes: C12 C14 C2 C22 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176520302184
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:193:y:2020:i:c:s0165176520302184
DOI: 10.1016/j.econlet.2020.109335
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().