Confidence intervals in regressions with estimated factors and idiosyncratic components

Fosten, Jack (2017) Confidence intervals in regressions with estimated factors and idiosyncratic components. Economics Letters, 157. 71–74. ISSN 0165-1765

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Abstract

This paper shows that HAC standard errors must be adjusted when constructing confidence intervals in regressions involving both the factors and idiosyncratic components estimated from a big dataset. This result is in contrast to the seminal result of Bai and Ng (2006) where the assumption that √T/N→0 is sufficient to eliminate the effect of estimation error, where T and N are the time-series and cross-sectional dimensions. Simulations show vast improvements in the coverage rates of the adjusted confidence intervals over the unadjusted ones.

Item Type: Article
Uncontrolled Keywords: factor model,idiosyncratic component,inference,confidence intervals
Faculty \ School: Faculty of Social Sciences > School of Economics
Related URLs:
Depositing User: Pure Connector
Date Deposited: 31 May 2017 08:31
Last Modified: 03 Sep 2020 23:45
URI: https://ueaeprints.uea.ac.uk/id/eprint/63621
DOI: 10.1016/j.econlet.2017.05.034

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