Empirical Likelihood: Improved Inference within Dynamic Panel Data Models
Angelica Gonzalez ()
Edinburgh School of Economics Discussion Paper Series from Edinburgh School of Economics, University of Edinburgh
Abstract:
This paper proposes and analyses an hybrid of Owen's (1988, 1990, 1991) Empirical Likelihood (EL) and bootstrap, EL-bootstrap, as an alternative to the General Method of Moments (GMM) within dynamic panel data models. We concentrate on the finite-sample size properties of their overidentification tests. Our results show that EL-bootstrap may be a good alternative to GMM estimation within this setting. The practical usefulness of our findings is illustrated via application on an AR(1) univariate panel data model with individual effects using the cash-flow series of 174 firms in the United States.
Pages: 34
Date: 2007-01
New Economics Papers: this item is included in nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.econ.ed.ac.uk/papers/id154_esedps.pdf
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:esedps:154
Access Statistics for this paper
More papers in Edinburgh School of Economics Discussion Paper Series from Edinburgh School of Economics, University of Edinburgh 31 Buccleuch Place, EH8 9JT, Edinburgh. Contact information at EDIRC.
Bibliographic data for series maintained by Research Office ().