Structural analysis with independent innovations

Helmut Herwartz

No 208, University of Göttingen Working Papers in Economics from University of Goettingen, Department of Economics

Abstract: Structural innovations in multivariate dynamic systems are typically hidden and often identified by means of a-priori economic reasoning. Under multivariate Gaussian model innovations there is no loss measure available to distinguish alternative orderings of variables or, put differently, between particular identifying restrictions and rotations thereof. Based on a non Gaussian framework of independent innovations, a loss statistic is proposed in this paper that allows to discriminate between alternative identifying assumptions on the basis of nonparametric density estimates. The merits of the proposed identification strategy are illustrated by means of a Monte Carlo study. Real data applications cover bivariate systems comprising US stock prices and total factor productivity, and four couples of international breakeven inflation rates to investigate monetary autonomy of the Bank of Canada and the Bank of England.

Keywords: structural innovations; identifying assumptions; SVAR; Cholesky decomposition; news shocks; monetary independence (search for similar items in EconPapers)
JEL-codes: C32 G15 (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-cse and nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/97148/1/786343745.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:zbw:cegedp:208

Access Statistics for this paper

More papers in University of Göttingen Working Papers in Economics from University of Goettingen, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics (econstor@zbw-workspace.eu).