Estimating dynamic panel models: backing out the Nickell Bias
Jerry A. Hausman and
Maxim Pinkovskiy
No 824, Staff Reports from Federal Reserve Bank of New York
Abstract:
We propose a novel estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating the bias in the first-order conditions as a function of the autoregressive parameter and solving the resulting equation. We show that this estimator performs well as compared with approaches in current use. We also propose a general method for including predetermined variables in fixed-effects panel regressions that appears to perform well.
Keywords: dynamic panel data; bias correction; econometrics (search for similar items in EconPapers)
JEL-codes: C2 C23 C26 (search for similar items in EconPapers)
Date: 2017-10-01
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.newyorkfed.org/research/staff_reports/sr824.html Summary (text/html)
https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr824.pdf Full text (application/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:fip:fednsr:824
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Staff Reports from Federal Reserve Bank of New York Contact information at EDIRC.
Bibliographic data for series maintained by Gabriella Bucciarelli ().