The Empirical Relevance of the Lucas Critique
AbstractThis paper re-considers the empirical relevance of the Lucas critique using a sticky price model in which a weak central bank response to inflation generates equilibrium indeterminacy. The model is calibrated on the magnitude of the historical shift in the Fed's policy rule and is capable of reproducing the decline in the volatility of postwar U.S. inflation and real activity. Using montecarlo simulations and a backward-looking model of aggregate supply and aggregate demand we find strong and robust evidence of heteroskedasticity, which is shown to introduce a severe downward bias in the statistics of popular parameter stability tests. When the instability of the reduced-form error variances across policy regimes is accounted for the Lucas critique is found to be empirically relevant on artificial data as well as on actual data
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 187.
Date of creation: 04 Jul 2006
Date of revision:
lucas critique; indeterminacy; parameter (in)stability; innovation variance instability;
Find related papers by JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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