Does Output Gap, Labor's Share or Unemployment Rate Drive Inflation?
AbstractWe propose a new methodology for ranking in probability the commonly proposed drivers of inflation in the New Keynesian model. The approach is based on Bayesian model selection among restricted VAR models, each of which embodies only one or none of the candidate variables as the driver. Simulation experiments suggest that our procedure is superior to the previously used conventional pairwise Granger causality tests in detecting the true driver. Empirical results lend little support to labor share, output gap or unemployment rate as the driver of U.S. inflation.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 41820.
Date of creation: 2012
Date of revision:
Inflation; New Keynesian Phillips curve; Bayesian variable selection;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-10-20 (All new papers)
- NEP-ECM-2012-10-20 (Econometrics)
- NEP-MAC-2012-10-20 (Macroeconomics)
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