The Difference, System and ‘Double-D’ GMM Panel Estimators in the Presence of Structural Breaks

Rosen Azad Chowdhury and Bill Russell ()

No 2012-48, SIRE Discussion Papers from Scottish Institute for Research in Economics (SIRE)

Abstract: The effects of structural breaks in dynamic panels are more complicated than in time series models as the bias can be either negative or positive. This paper focuses on the effects of mean shifts in otherwise stationary processes within an instrumental variable panel estimation framework. We show the sources of the bias and a Monte Carlo analysis calibrated on United States bank lending data demonstrates the size of the bias for a range of auto-regressive parameters. We also propose additional moment conditions that can be used to reduce the biases caused by shifts in the mean of the data.

Keywords: Dynamic panel estimators; mean shifts/structural breaks; Monte Carlo Simulation (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10943/371
Our link check indicates that this URL is bad, the error code is: 404 Not Found

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:edn:sirdps:371

Access Statistics for this paper

More papers in SIRE Discussion Papers from Scottish Institute for Research in Economics (SIRE) 31 Buccleuch Place, EH8 9JT, Edinburgh. Contact information at EDIRC.
Bibliographic data for series maintained by Research Office ().