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AN INTERVIEW WITH CHRISTOPHER A. SIMS

Published online by Cambridge University Press:  06 April 2004

LARS PETER HANSEN
LARS PETER HANSEN
Affiliation:
University of Chicago November 5, 2003
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Abstract

Christopher Sims is a well-known intellectual leader in time-series econometrics and applied macroeconomics. Among his many honors and distinctions, he has been the President of the Econometric Society and he is a member of the National Academy of Sciences. He has made fundamental contributions to both statistical theory of time series and empirical macroeconomics. Sims' work is influential precisely because it was motivated by important problems in macroeconomics. Not only did Sims study questions of statistical approximation in abstract environments, he showed how to apply the resulting apparatus to a variety of specific problems confronting applied researchers. The applications include seasonality in economic time series, aggregation over time, and approximation in formulating statistical models with economic underpinnings. Moreover, Sims' contributions to causality in time series and to the development of vector autoregressive methods were complemented by an important body of empirical research. Sims has served as an effective advocate and critic of the extensively used vector autoregressive statistical methods. Motivated by his own and related empirical research, Sims is one of the leaders in rethinking how monetary policy should be modeled and reconsidering the channels by which monetary policy influences economic aggregates. This interview with Chris Sims gives an opportunity to explore further the context of many of these contributions. Sims typically has a unique perspective on many economic problems, a perspective that is articulated in his answers to a variety of questions.

Keywords

CausalityVector AutoregressionFiscal Theory of the Price LevelBayesian Econometrics
Type
MD INTERVIEW
Information
Macroeconomic Dynamics , Volume 8 , Issue 2 , April 2004 , pp. 273 - 294
Copyright
© 2004 Cambridge University Press

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References

Bassetto M. 2002 A game-theoretic view of the fiscal theory of the price level Econometrica 70, 2167– 2195.Google Scholar
Buiter W.H. 2002 The fiscal theory of the price level: A critique Economic Journal 112, 459– 480.Google Scholar
Cochrane J.H. 2003 Money as Stock. Discussion paper, University of Chicago, GSB, http:/gsbwww. uchicago.edu/fac/john.cochrane/.
Faust J. 1998 The robustness of identified VAR conclusions about money Journal of Monetary Economics 49, 207– 244.Google Scholar
Leeper E.M. 1991 Equilibria under active and passive monetary and fiscal policies Journal of Monetary Economics 27, 129– 147.Google Scholar
Leeper E.M. & C.A. Sims 1994 Toward a modern macroeconomic model usable for policy analysis. NBER Macroeconomics Annual 81– 117.Google Scholar
McCallum B.T. 2001 Indeterminacy, bubbles, and the fiscal theory of price level determination Journal of Monetary Economics 47, 19– 30.Google Scholar
Mehra Y.P. 1978 Is money exogenous in money-demand equations Journal of Political Economy 86 (2, p. 1), 211– 228.Google Scholar
Sims C.A. 1967 Evaluating short-term macroeconomic forecasts: The Dutch performance Review of Economics and Statistics 49, 225– 236.Google Scholar
Sims C.A. 1969 A theoretical basis for double-deflation of value added Review of Economics and Statistics 51, 470– 471.Google Scholar
Sims C.A. 1971a Discrete approximation to continuous time distributed lags in econometrics Econometrica 39, 545– 563.Google Scholar
Sims C.A. 1971b Distributed lag estimation when the parameter-space is explicitly infinite-dimensional Annals of Mathematical Statistics 42, 1622– 1636.Google Scholar
Sims C.A. 1972a Money, income, and causality American Economic Review 62, 540– 552.Google Scholar
Sims C.A. 1972b The role of approximate prior restrictions in distributed lag estimation Journal of the American Statistical Association 67 (337), 169– 175.Google Scholar
Sims C.A. 1974 Seasonality in regression Journal of the American Statistical Association 69 (347), 618– 626.Google Scholar
Sims C.A. 1977 Exogeneity and causal orderings in macroeconomic models. In C.A. Sims (ed.), New Methods in Business Cycle Research, pp. 23– 43. Federal Reserve Bank of Minneapolis.
Sims C.A. 1980a Comparison of interwar and postwar business cycles: Monetarism reconsidered American Economic Review 70, 250– 257.Google Scholar
Sims C.A. 1980b Macroeconomics and reality Econometrica 48, 1– 48.Google Scholar
Sims C.A. 1998 Stickiness Carnegie-Rochester Conference Series on Public Policy 49, 317– 356.Google Scholar
Sims C.A. 2000 Fiscal Aspects of Central Bank Independence. Technical report, Princeton University.
Sims C.A. 2002 The role of models and probabilities in the monetary policy process Brookings Papers on Economic Activity 2002 (2), 1– 62.Google Scholar
Sims C.A. 2003 Implications of rational inattention Journal of Monetary Economics 50, 665– 690.Google Scholar
Sims C.A. & H.D. Uhlig 1991 Understanding unit rooters: A helicopter tour Econometrica 59, 1591– 1599.Google Scholar
Smets F. & R. Wouters 2002 An Estimated Stochastic Dynamic General Equilibrium Model of the Euro Area. Working paper, European Central Bank and National Bank of Belgium.
Smets F. & R. Wouters 2003 Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. Discussion paper, European Central Bank and National Bank of Belgium.
Uhlig H. 2001 What Are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure. Discussion paper, Humboldt University, Berlin.
Woodford M. 2001 Imperfect Common Knowledge and the Effects of Monetary Policy. Discussion paper, Princeton University