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Measuring the Effects of a Shock to Monetary Policy - Humboldt ...

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Bayesian FAVARs with Agnostic Identification 65<br />

[21] Del Negro, Marco and Chris<strong>to</strong>pher Otrok, 2004,Dynamic Fac<strong>to</strong>r Model with Time<br />

Varying Parameters,” Discussion paper, Federal Reserve Bank <strong>of</strong> Atlanta and Uni-<br />

versity <strong>of</strong> Virginia.<br />

[22] Favero, C.A. and M. Marcellino (2005) ” Large dataset, small models and monetary<br />

<strong>Policy</strong> in Europe”; CLM Economia , 249-269<br />

[23] Favero, C.A., M. Marcellinho and F. Neglia (2002), ”Principal Components at Work:<br />

<strong>the</strong> empirical analysis <strong>of</strong> monetary policy with large datasets”; IGIER Working Paper<br />

No. 223 (Bocconi University), forthcoming, Journal <strong>of</strong> Applied Econometrics<br />

[24] Forni, M., M. Hallin, M. Lippi, and L. Reichlin (2000), ”The Generalized Dynamic<br />

Fac<strong>to</strong>r Model: Identification and Estimation”; Review <strong>of</strong> Economics and Statistics<br />

82, pp. 540-54<br />

[25] Forni, M. and L. Reichlin (1998), ”Dynamic Common Fac<strong>to</strong>rs in Large Cross-<br />

Sections”; Empirical Economics 21, pp. 27-42<br />

[26] Forni, M. and L. Reichlin (1998), ”Let’s Get Real: A Dynamic Fac<strong>to</strong>r Analytical<br />

Approach <strong>to</strong> Disaggregated Business Cycles”; Review <strong>of</strong> Economic Studies 65, pp.<br />

453-74<br />

[27] Gamerman, Dani (1997), ”Markov Chain Monte Carlo: S<strong>to</strong>chastic Simulation for<br />

Bayesian Inference”; Chapman and Hall, New York<br />

[28] Gelman, A. and D.B.Rubin, (1992), ”A Single Sequence from <strong>the</strong> Gibbs Sampler<br />

Gives a False Sense <strong>of</strong> Security”; in J.M. Bernardo, J. O. Berger, A. P. Dawid, and<br />

A.F.M. Smith, eds., Bayesian Statistics, Oxford: University Press<br />

[29] Geman, S. and D. Geman, (1984), ”S<strong>to</strong>chastic Relaxation, Gibbs Distribution and<br />

<strong>the</strong> Bayesian Res<strong>to</strong>ration <strong>of</strong> Images”; IEEE Transactions <strong>of</strong> Pattern Analysis and<br />

Machine Intelligence 6, pp. 721-41

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