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Constructing Structural VAR Models with Conditional Independence Graphs

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Abstract

In 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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  • 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.
  • Handle: RePEc:cbt:econwp:08/19
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    9. Bruneau, Catherine & Jondeau, Eric, 1999. "Long-Run Causality, with an Application to International Links between Long-Term Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 545-568, November.
    10. David A. Bessler & Seongpyo Lee, 2002. "Money and prices: U.S. Data 1869-1914 (A study with directed graphs)," Empirical Economics, Springer, vol. 27(3), pages 427-446.
    11. Marco Reale, 2002. "The sampling properties of conditional independence graphs for structural vector autoregressions," Biometrika, Biometrika Trust, vol. 89(2), pages 457-461, June.
    12. David Archer & Andy Brookes & Michael Reddell, 1999. "A cash rate system for implementing monetary policy," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 62, March.
    13. Saghaian, Sayed H. & Hasan, Mohamad F. & Reed, Michael R., 2002. "Overshooting Of Agricultural Prices In Four Asian Economies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(1), pages 1-15, April.
    14. Cuthbertson, Keith, 1996. "The Expectations Hypothesis of the Term Structure: The UK Interbank Market," Economic Journal, Royal Economic Society, vol. 106(436), pages 578-592, May.
    15. Drakos, Konstantinos, 2003. "The term structure of deviations from the interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(1), pages 57-67, February.
    16. Bessler, David A. & Fuller, Stephen W., 2000. "Railroad wheat transportation markets in the central plains: modeling with error correction and directed graphs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 21-39, March.
    17. Granville Tunnicliffe Wilson & Marco Reale, 2008. "The sampling properties of conditional independence graphs for I(1) structural VAR models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 802-810, September.
    18. Marco Reale & Granville Tunnicliffe Wilson, 2001. "Identification of vector AR models with recursive structural errors using conditional independence graphs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 49-65, January.
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    Cited by:

    1. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    2. Nikolay Arefiev, 2014. "A Theory Of Data-Oriented Identification With A Svar Application," HSE Working papers WP BRP 79/EC/2014, National Research University Higher School of Economics.
    3. Matteo Fragetta & Giovanni Melina, 2013. "Identification of monetary policy in SVAR models: a data-oriented perspective," Empirical Economics, Springer, vol. 45(2), pages 831-844, October.
    4. Benjamin Poignard & Manabu Asai, 2023. "Estimation of high-dimensional vector autoregression via sparse precision matrix," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 307-326.
    5. Matteo Fragetta & Giovanni Melina, 2010. "The Effects of Fiscal Shocks in SVAR Models: A Graphical Modelling Approach," Birkbeck Working Papers in Economics and Finance 1006, Birkbeck, Department of Economics, Mathematics & Statistics.
    6. Nikolay Arefiev, 2016. "Identification of Monetary Policy Shocks within a Svar Using Restrictions Consistent with a DSGE Model," HSE Working papers WP BRP 125/EC/2016, National Research University Higher School of Economics.
    7. Fragetta, Matteo, 2010. "Monetary Policy and Identification in SVAR Models: A Data Oriented Perspective," MPRA Paper 20616, University Library of Munich, Germany.
    8. Nikolay Arefiev, 2016. "Graphical Interpretations of Rank Conditions For Identification of Linear Gaussian Models," HSE Working papers WP BRP 124/EC/2016, National Research University Higher School of Economics.

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    More about this item

    Keywords

    Graphical models; directed acyclic graphs; term structure; causality.;
    All these keywords.

    JEL classification:

    • 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; State Space Models

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