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Bootstrap Testing Linear Restrictions on Cointegrating Vectors

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Author Info
Gredenhoff, Mikael
Jacobson, Tor

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Abstract

We consider a computer-intensive method for inference on cointegrating vectors in maximum likelihood cointegration analysis. Simulation studies show that the size distortion for the asymptotic likelihood ratio test can be considerable for small samples. It is demonstrated that a parametric bootstrap frequently results in a nearly exact alpha-level test. Furthermore, response surface regression is used to examine small-sample properties of the asymptotic test. In particular, using an extensive experimental design, in which the data-generating processes are based on empirical models, we describe how the complexity of the model affects the degree of size distortion for given sample size.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 19 (2001)
Issue (Month): 1 (January)
Pages: 63-72
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Handle: RePEc:bes:jnlbes:v:19:y:2001:i:1:p:63-72

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  2. Jesper Lindé, 2001. "Fiscal policy and interest rates in a small open economy," Finnish Economic Papers, Finnish Economic Association, vol. 14(2), pages 65-83, Autumn. [Downloadable!]
  3. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
  4. Katrin Assenmacher-Wesche, 2008. "Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June. [Downloadable!]
  5. ben Kaabia, Monia & Gil, Jose M. & Chebbi, Houssem E., 2005. "Macroeconomics and Agriculture in Tunisia," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24597, European Association of Agricultural Economists. [Downloadable!]
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  6. Omtzigt Pieter & Fachin Stefano, 2002. "Bootstrapping and Bartlett corrections in the cointegrated VAR model," Economics and Quantitative Methods qf0212, Department of Economics, University of Insubria. [Downloadable!]
  7. Villani, Mattias & Warne, Anders, 2003. "Monetary Policy Analysis in a Small Open Economy using Bayesian Cointegrated Structural VARs," Working Paper Series 156, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
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  8. Ida Wolden Bache, 2006. "Assessing the structural VAR approach to exchange rate pass-through," Computing in Economics and Finance 2006 309, Society for Computational Economics. [Downloadable!]
  9. Jacobson, Tor & Jansson, Per & Vredin, Anders & Warne, Anders, 2002. "Identifying the Effects of Monetary Policy Shocks in an Open Economy," Working Paper Series 134, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
  10. R. Brüggemann, . "On the Small Sample Properties of Weak Exogeneity Tests in Cointegrated VAR models," Sonderforschungsbereich 373 2002-2, Humboldt Universitaet Berlin.
  11. Jacobson, Tor & Lyhagen, Johan & Larsson, Rolf & Nessén, Marianne, 2002. "Inflation, Exchange Rates and PPP in a Multivariate Panel Cointegration Model," Working Paper Series 145, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
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  12. Eriksson , Åsa, 2004. "Testing Structural Hypotheses on Cointegration Vectors: A Monte Carlo Study," Working Papers 2004:29, Lund University, Department of Economics. [Downloadable!]
  13. Hjelm, Göran & Johansson, Martin W, 2002. "A Monte Carlo Study on the Pitfalls in Determining Deterministic Components in Cointegrating Models," Working Papers 2002:3, Lund University, Department of Economics.
  14. Heino Nielsen & Christopher Bowdler, 2006. "Inflation adjustment in the open economy: an I(2) analysis of UK prices," Empirical Economics, Springer, vol. 31(3), pages 569-586, September. [Downloadable!] (restricted)
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