Projection Minimum Distance: An Estimator for Dynamic Macroeconomic Models
Oscar Jorda and
Sharon Kozicki
No 154, Working Papers from University of California, Davis, Department of Economics
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.
Pages: 58
Date: 2006-08-21
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://repec.dss.ucdavis.edu/files/mBuEs74jbv9z8Zank6dRrYA8/06-23.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cda:wpaper:154
Access Statistics for this paper
More papers in Working Papers from University of California, Davis, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Letters and Science IT Services Unit ().