ROBUST MONETARY POLICY UNDER MODEL UNCERTAINTY IN A SMALL MODEL OF THE U.S. ECONOMY
By A. Onatski, James H. Stock. Macroeconomic Dynamics, 2002
271 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/d1e1e5b3a3d7d226a8f082541b839e4b27de7bd6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Jean-Paul Renne
- Jean-Stéphane Mésonnier
- Andrew T. Levin
- John C. Williams
- Christopher A. Sims
- Y. Gorodnichenko
- Olivier Coibion
- Frank Schorfheide
Citations in the corpus
- A Time Varying Natural Rate of Interest for the Euro Area (2007, methodology): “…backward-looking models without explicit expectations are still widely used for monetary policy analysis, as in Rudebusch and Svensson (1998, 2002), Onatski and Stock (2002), Smets (1998), Dennis (2001), Laubach and Williams (2003), Fagan, Henry and Mestre (2001) and Fabiani and Mestre (2004).”
- Implications of rational inattention (2003, background): “One branch of such thinking is in the behavioral economics literature (Laibson, 1997; B enabou and Tirole, 2001; Gul and Pesendorfer, 2001, e.g.), another in the learning literature (Sargent, 1993; Evans and Honkapohja, 2001, e.g.), another in the robust control literature (Giannoni, 1999; Hansen an”
- Robust Monetary Policy with Competing Reference Models (2003, methodology): “But, as Staiger, Stock and Watson (1997), Orphanides and van Norden (2002), Laubach and Williams (2001), and others have documented, natural rates tend to be poorly measured, especially in real time.”
- The quest for prosperity without inflation (2003, unknown): “Several recent papers including, Levin, Wieland and Williams (1998), Sack (1998), Onatski and Stock (1999) and Williams (1999), have illustrated aspects of these problems. about inflation and output gives: R t − ˜ R * t = γ(˜ π a t − π * ) + δ ˜ y t (6) where˜R * t ≡ r * + ˜ π a .”
- Pitfalls of a Minimax Approach to Model Uncertainty (2001, background): “Some (Onatski and Stock, 1999, for example) have suggested that minimax robust approaches are appealing because they are more tractable than methods that put an explicit probability distribution on the model uncertainty.”