Identifying the New Keynesian Phillips Curve
By James M. Nason, Gregor W. Smith. 2008
209 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2c9d31fc777f0ab688e816c65c1d506573681ac6
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
- Sophocles Mavroeidis
- Mikkel Plagborg-Møller
- James H. Stock
- F. Kleibergen
- Isaiah Andrews
- Mark W. Watson
- Christian Hansen
- Serena Ng
In Management Science and Operations Research
- Mikkel Plagborg-Møller
- F. Kleibergen
- James H. Stock
- Sophocles Mavroeidis
- Serena Ng
- Jushan Bai
- Mark W. Watson
- Massimiliano Marcellino
Citations in the corpus
- Monetary Policy Rules and Macroeconomic Stability: Some New Evidence (2010, background): “Notable exceptions are papers on the Phillips curve by Dufour, Khalaf, and Kichian (2006), Ma (2002) and Nason and Smith (2005). where r t denotes the target nominal policy rate, t and xt denote in ation and the output gap, respectively, Et denotes expectations conditional on information available…”
- Components (2008, unknown): “' Similarly Nason and Smith (2006) conclude that '..there is littel evidence of forward looking dynamics in U.”
- Optimal Inflation and the Identification of the Phillips Curve (2019, unknown): “…and recently Bullard (2018) highlight the role of monetary policy on inflation dynamics in simple New Keynesian models with Taylor rules, and Nason and Smith (2008); Mavroeidis, Plagborg-Møller, and Stock (2014); and Krogh (2015) explore Phillips curve identification in detail in similar…”
- Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve (2014, methodology): “The instrument set is the same as in Nunes (2010), i.”
- Weak Instrument Robust Tests in GMM and the New Keynesian Phillips Curve (2009, methodology): “Several authors have argued that the above results are unreliable because they are derived using methods that are not robust to identification problems, also known as weak instrument problems; see Canova and Sala (2009), Mavroeidis (2005), and Nason and Smith (2008) .”