Generalized Method of Moments - University of Southampton
Generalized Method of Moments - University of Southampton
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.