This volume celebrates the work of Michael Woodford and his many contributions to economics.
One of Mike's most influential papers is the 1997 paper (co-authored with Julio Rotemberg) “An optimization-based econometric framework for the evaluation of monetary policy.” This paper constituted the first attempt at estimation of a small scale dynamic stochastic general equilibrium model (DSGE) in which prices are set by monopolistically competitive firms, and prices cannot be instantaneously and costlessly adjusted. Since the work of Rotemberg and Woodford, these models have become more complex and increasingly large [see Christiano, Eichenbaum and Evans (2005), Smets and Wouters (2003), and, more recently, Christoffel, Coenen and Warne (2008) and Adolfson, Laséen, Lindé and Svensson (2008)]. By explicitly taking into account forwardlooking behavior on the part of the agents, DSGEs provide a useful framework to analyze the effects of alternative policies. These models are now routinely used in many central banks, including the European Central Bank, and knowledge has been built up on their reliability, their forecasting performance and on what are the reasonable values for calibrated parameters and the setting of the priors.
Keywords
- Monetary Policy
- Total Factor Productivity
- Euro Area
- Capacity Utilization
- Total Factor Productivity Growth
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
The authors are grateful to Gunter Coenen, Chris Sims, Argia Sbordone and all the seminar participants at the Federal Reserve Bank of NY (March 2008), the Working Group on Forecasting of the European System of Central Banks Meeting (2008), the EABCN conference on ”Using Euro Area Data: Issues and Consequences for Economic Analysis” (March 2008), the Bank of Italy conference on ”DSGE in the policy environment” (June 2008), the Bank of England (September 2008) and EUROSTAT (September 2008) for useful comments and suggestions.
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Giannone, D., Monti, F., Reichlin, L. (2010). Incorporating Conjunctural Analysis in Structural Models. In: Wieland, V. (eds) The Science and Practice of Monetary Policy Today. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02953-0_4
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