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

Bayesian FAVARs with Agnostic Identification 67
[40] Kose, Ayhan, Christopher Otrok and Charles H. Whiteman (2003) ”Understanding
the Evolution of World Business Cycles”; Unpublished paper
[41] Krause, Andreas (1994), ”Computerinsive Statistische Methoden: Gibbs Sampling in
Regressionsmodellen.”; Gustav Fischer Verlag
[42] Leeper, Eric, Christopher Sims, and Tao Zha, (1996) ”What does Monetary Policy
Do?”; Brookings Papers on Economic Activity 2, 1-63
[43] Lütkepohl, Helmut (1993), ”Introduction to Multiple Time Series Analysis”; Springer
Verlag
[44] Mountford, Andrew and Harald Uhlig (2005), ”What are the effects of fiscal policy
shocks?”; draft, Humboldt University
[45] Maćkowiak, Bartosz (2004), ”Notes on Gibbs sampling and dynamic factor models”;
Humboldt University Berlin
[46] Quah, D. and T. J. Sargent (1993), ( ”A Dynamic Index Model for Large Cross
Sections”); in J. H. Stock and M. W. Watson, eds., Business Cycles, Indicators, and
Forecasting (University of Chicago Press for the NBER, Chicago) CH.7
[47] Sims, Christopher (1980), ”Macroeconomics and Reality”, Econometrica, vol. 48, pp.
1-48
[48] Sims, Christopher (1986), ”Are Forecasting Models Usable for Policy Analysis”, Min-
neapolis Federal Reserve Bank Quarterly Review, Winter 1986, pp. 2-16
[49] Sims, Christopher (1992), ”Interpreting the Macroeconomic Time Series Facts: The
Effects of Monetary Policy”, European Economic Review, vol. 36, pp. 975-1011
[50] Sims, Christopher and Uhlig Harald (1991) ”Understanding unit rooters: a helicopter
tour”, Econometrica, vol. 59, pp. 1591-1600