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The panel conditionally homogenous vectorautoregressive model

  • Georgiadis, Georgios

In the panel conditionally homogenous vectorautoregressive model, the cross-sectional units' dynamics are generally heterogenous, but homogenous if units share the same structural characteristics. The panel conditionally homogenous vectorautoregressive model thus allows (i) to account for heterogeneity in dynamic panel data sets, (ii) to nevertheless exploit the panel nature of the data, and (iii) to analyze the relationship between the units' observed heterogeneities and structural characteristics. I show how standard least squares estimation can be applied, how impulse responses can be computed, how multivariate conditioning is implemented, and how polynomial order restrictions can be incorporated. Finally, I present an easy-to-use Matlab routine which can be used to estimate the panel conditionally homogenous vectorautoregressive model and produce impulse responses as well as forecast error variance decompositions.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 37755.

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Date of creation: 2012
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Handle: RePEc:pra:mprapa:37755
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  1. Loayza, Norman V. & Raddatz, Claudio, 2006. "The structural determinants of external vulnerability," Policy Research Working Paper Series 4089, The World Bank.
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  9. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  10. Filipa Sá & Pascal Towbin & Tomasz Wieladek, 2011. "Low interest rates and housing booms: the role of capital inflows, monetary policy and financial innovation," Globalization and Monetary Policy Institute Working Paper 79, Federal Reserve Bank of Dallas.
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