Constructing structural VAR models with conditional independence graphs
AbstractIn this paper graphical modelling is used to select a sparse structure for a multivariate time series model of New Zealand interest rates. In particular, we consider a recursive structural vector autoregressions that can subsequently be described parsimoniously by a directed acyclic graph, which could be given a causal interpretation. A comparison between competing models is then made by considering likelihood and economic theory.
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Bibliographic InfoArticle provided by Elsevier in its journal Mathematics and Computers in Simulation (MATCOM).
Volume (Year): 79 (2009)
Issue (Month): 9 ()
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Web page: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/
Graphical models; Directed acyclic graphs; Term structure; Causality;
Other versions of this item:
- Les Oxley & Marco Reale & Granville Tunnicliffe Wilson, 2008. "Constructing Structural VAR Models with Conditional Independence Graphs," Working Papers in Economics 08/19, University of Canterbury, Department of Economics and Finance.
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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