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Projection Minimum Distance: An Estimator for Dynamic Macroeconomic Models

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  • Oscar Jorda
  • Sharon Kozicki

    (Department of Economics, University of California Davis)

Abstract

This paper introduces an estimator for dynamic macroeconomic models where possibly the dynamics and the variables described therein are incomplete representations of a larger, unknown macroeconomic system. We call this estimator projection minimum distance (PMD) and show that it is consistent and asymptotically normal. Many times, PMD can provide consistent estimates of structural parameters even when the dynamics of the macroeconomic model are insufficient to account for the serial correlation of the data or correlation with information omitted from the model. PMD provides an overall specification chi-squared test based on the distance between the impulse responses of the model and their semi-parametric estimates from the data. PMD only requires two, simple, least-squares steps and can be generalized to more complex, nonlinear environments.

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Bibliographic Info

Paper provided by University of California, Davis, Department of Economics in its series Working Papers with number 623.

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Length: 58
Date of creation: 22 Aug 2006
Date of revision:
Handle: RePEc:cda:wpaper:06-23

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  1. Lawrence J. Christiano, 1998. "Solving Dynamic Equilibrium Models by a Method of Undetermined Coefficients," NBER Technical Working Papers 0225, National Bureau of Economic Research, Inc.
  2. Lewis, Richard & Reinsel, Gregory C., 1985. "Prediction of multivariate time series by autoregressive model fitting," Journal of Multivariate Analysis, Elsevier, vol. 16(3), pages 393-411, June.
  3. Roger E. A. Farmer, 1999. "Macroeconomics of Self-fulfilling Prophecies, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262062038, December.
  4. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
  5. Jeffrey C. Fuhrer & Giovanni P. Olivei, 2004. "Estimating forward looking Euler equations with GMM estimators: an optimal instruments approach," Working Papers 04-2, Federal Reserve Bank of Boston.
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