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Generalized Method of Moments - University of Southampton

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<strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong><br />

PhD Course at Aarhus School <strong>of</strong> Business, 2005<br />

Jan M. Podivinsky<br />

<strong>University</strong> <strong>of</strong> <strong>Southampton</strong>, United Kingdom<br />

INTRODUCTION<br />

<strong>Generalized</strong> method <strong>of</strong> moments (GMM) estimation has been applied widely<br />

in economics and finance since its introduction by L. P. Hansen in 1982. This<br />

course considers both the theoretical properties <strong>of</strong>, and the practical issues<br />

arising from, GMM estimation and testing, and illustrates these using<br />

examples from both labour economics and finance. The course also<br />

considers alternative related methods <strong>of</strong> estimation that are currently<br />

attracting the interest <strong>of</strong> researchers.<br />

COURSE OVERVIEW<br />

Monday 31 st January 2005<br />

9:00-12:00 Overview and review <strong>of</strong> population moment conditions and<br />

GMM estimation. GMM estimation and hypothesis testing in<br />

both correctly specified and misspecified models.<br />

13:30-15:30 Applications <strong>of</strong> GMM in labour economics and finance.<br />

Tuesday 1 st February 2005<br />

9:00-12:00 Practical issues: moment selection, covariance matrix<br />

estimation and finite-sample performance. GMM in multipleequation<br />

models and panel data models.<br />

13:30-15:30 Further applications <strong>of</strong> GMM, including panel data models.<br />

Wednesday 2 nd February 2005<br />

9:00-12:00 GMM with dynamic panel data. Related methods <strong>of</strong><br />

estimation: simulated method <strong>of</strong> moments and indirect<br />

inference.<br />

13:30-15:30 Related methods <strong>of</strong> estimation: empirical likelihood and<br />

generalized empirical likelihood (GEL) methods.


REFERENCES<br />

[Note: Additional references will be given during the course.]<br />

F. Bravo (2004), “Empirical Likelihood Inference with Application to Some<br />

Econometric Models”, Econometric Theory, 20, 231-264.<br />

A. R. Hall (1993), “Some Aspects <strong>of</strong> <strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong><br />

Estimation”, Ch. 15 <strong>of</strong> G. S. Maddala, C. R. Rao and H. D. Vinod<br />

(eds.), Handbook <strong>of</strong> Statistics, Vol. 11, Amsterdam: North Holland.<br />

A. R. Hall (2005), <strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong>, Oxford: Oxford<br />

<strong>University</strong> Press.<br />

F. Hayashi (2000), Econometrics, Princeton: Princeton <strong>University</strong> Press<br />

[Chs. 3 & 4: “Single-Equation GMM” and “Multiple-Equation GMM”].<br />

J. D. Hamilton (1994), “<strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong>”, Ch. 14 <strong>of</strong> J. D.<br />

Hamilton, Time Series Analysis, Princeton: Princeton <strong>University</strong> Press.<br />

L. P. Hansen (1982), “Large Sample Properties <strong>of</strong> <strong>Generalized</strong> <strong>Method</strong> <strong>of</strong><br />

<strong>Moments</strong> Estimation”, Econometrica, 50, 1029-1054.<br />

L. Mátyás (ed.) (1999), <strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong> Estimation,<br />

Cambridge: Cambridge <strong>University</strong> Press.<br />

M. Ogaki (1993), “<strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong>: Econometric<br />

Applications”, Ch. 17 <strong>of</strong> G. S. Maddala, C. R. Rao and H. D. Vinod<br />

(eds.), Handbook <strong>of</strong> Statistics, Vol. 11, Amsterdam: North Holland.<br />

P. A. Ruud (2000), An Introduction to Classical Econometric Theory, Oxford:<br />

Oxford <strong>University</strong> Press [Chs. 21 & 22: “The <strong>Generalized</strong> <strong>Method</strong> <strong>of</strong><br />

<strong>Moments</strong>” and “<strong>Generalized</strong> <strong>Method</strong> <strong>of</strong> <strong>Moments</strong> Hypothesis Tests”].<br />

R. J. Smith (2004), “GEL Criteria for Moment Condition Models”, cemmap<br />

Working Paper CWP19/04, UCL.

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