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Alternative Semi‐parametric Likelihood Approaches to Generalised Method of Moments Estimation

Bibliographic Data

ID9717564
AuthorsRichard J Smith (0000-0002-6340-0656, University of Bristol, corresponding author)
Year1997
Volume107
Issue441
Pages503-519
Publication date1997-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.0013-0133.1997.174.x
OpenAlexW1969201566
LanguageEN
Citations received11
References cited3

Since Hansen's (1982) seminal paper, the generalised method of moments (GMM) has become an increasingly important method for estimation and inference in econometrics. This paper examines alternative semi‐parametric quasi‐likelihood approaches. Essentially, these methods embed sample versions of the moment conditions used in GMM in a non‐parametric quasi‐likelihood function by use of additional parameters associated with these moment conditions. Specification and misspecification tests may be defined which are similar in nature to the classical tests and are first‐order equivalent to the corresponding GMM statistics. The structure of the semi‐parametric quasi‐maximum likelihood estimator is explored for models estimated by instrumental variables

Econometrics · Empirical likelihood · Estimator · Generalized method of moments · Inference · Instrumental variable · Likelihood function · Maximum likelihood · Method of moments (probability theory · Moment (physics · Parametric model · Parametric statistics · Restricted maximum likelihood · Statistics · Applied Mathematics · Artificial Intelligence · Computer Science · Financial Risk and Volatility Modeling · Mathematics · Monetary Policy and Economic Impact · Statistical Methods and Inference

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Unique citing works11
Citations per year0,46
Citation span2002 - 2026 (25)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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