Estimating Euler Equations with Noisy Data: Two Exact GMM Estimators

Sule Alan, Orazio Attanasio and Martin Browning

No 2005-10, CAM Working Papers from University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics

Abstract: In this paper we exploit the specific structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The first estimator assumes that the measurement error is lognormally distributed. The second estimator drops the distributional assumption and solves out for the unknown, but constant, conditional mean. Our Monte Carlo results suggest that both proposed estimators perform much better than conventional alternatives based on the exact Euler equation or its log-linear approximation, especially with short panels.

Keywords: nonlinear models; measurement error; Euler equation (search for similar items in EconPapers)
JEL-codes: C13 E21 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2005-05
New Economics Papers: this item is included in nep-dev and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.econ.ku.dk/cam/wp0910/wp0406/2005-10.pdf/ (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.econ.ku.dk/cam/wp0910/wp0406/2005-10.pdf/ [301 Moved Permanently]--> https://www.econ.ku.dk/cam/wp0910/wp0406/2005-10.pdf/)

Related works:
Journal Article: Estimating Euler equations with noisy data: two exact GMM estimators (2009)
Working Paper: Estimating Euler Equations with Noisy Data: Two Exact GMM Estimators (2006)
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:kud:kuieca:2005_10

Access Statistics for this paper

More papers in CAM Working Papers from University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics �ster Farimagsgade 5, Building 26, DK-1353 Copenhagen K., Denmark. Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Hoffmann ().