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Comparison of Misspecified Calibrated Models: The Minimum Distance Approach

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Author Info
Hnatkovska, Viktoria
Marmer, Vadim
Tang, Yao

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Abstract

This paper presents testing procedures for comparison of misspecified calibrated models. The proposed tests are of the Vuong-type (Vuong, 1989; Rivers and Vuong, 2002). In our framework, an econometrician selects values for the parameters in order to match some characteristics of the data with those implied by the competing theoretical models. We assume that all competing models are misspecified, and suggest a test for the null hypothesis that all considered models provide equivalent fit to the data characteristics, against the alternative that one of the models is a better approximation. We consider both nested and non-nested cases. Our discussion includes the case when parameters are estimated to match one set of moments and the models are evaluated by their ability to match another. We also relax the dependence of models' ranking on the choice of weight matrix by suggesting averaged and sup procedures, as well as constructing confidence sets for weight matrices favorable for one of the models. The proposed method is illustrated by comparing standard cash-in-advance and portfolio adjustment cost models. Our comparison is based on the ability of the two models to match the impulse responses of output and inflation to money growth shocks. We find that both models provide equally poor fit to the data and therefore conclude that the frictions underlying persistent liquidity effect of the PAC model do not help explain the impulse response dynamics of output and inflation observed in the data.

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Paper provided by Microeconomics.ca Website in its series Micro Theory Working Papers with number vadim_marmer-2008-14.

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Length: 47 pages
Date of creation: 16 Oct 2008
Date of revision: 02 Nov 2009
Handle: RePEc:ubc:pmicro:vadim_marmer-2008-14

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Keywords: misspecified models; calibration; matching; minimum distance estimation;

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  5. Watson, Mark W, 1993. "Measures of Fit for Calibrated Models," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1011-41, December. [Downloadable!] (restricted)
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  19. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
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  21. Alastair R. Hall & Atsushi Inoue, 2005. "The Large Sample Behaviour of the Generalized Method of Moments Estimator in Misspecified Models," Econometrics 0505002, EconWPA. [Downloadable!]
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  22. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.
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  23. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670. [Downloadable!]
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  28. Esfandier Maasoumi & Peter C.B. Phillips, 1980. "On the Behavior of Inconsistent Instrumental Variable Estimators," Cowles Foundation Discussion Papers 568, Cowles Foundation, Yale University. [Downloadable!]
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Vadim Marmer & Taisuke Otsu, 2009. "Optimal Comparison of Misspecified Moment Restriction Models," Cowles Foundation Discussion Papers 1724, Cowles Foundation, Yale University. [Downloadable!]
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