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The Determinants of VAT Introduction: A Spatial Duration Analysis

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  • Cizek, P.
  • Lei, J.
  • Ligthart, J.E.

    (Tilburg University, Center for Economic Research)

Abstract

Abstract: The spatial survival models typically impose frailties, which characterize unobserved heterogeneity, to be spatially correlated. This specification relies highly on a pre-determinate covariance structure of the errors. However, the spatial effect may not only exist in the unobserved errors, but it can also be present in the baseline hazards and the dependent variables. A new spatial survival model with these three possible spatial correlation structures is explored and used to investigate the determinants of value-added tax implementation in 92 countries over the period 1970–2008 using the proposed model. The estimation results suggest the presence of a significant copycat effect among neighboring countries for both contiguity and distance weight matrices.

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2012-071.

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Date of creation: 2012
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Handle: RePEc:dgr:kubcen:2012071

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  1. Egger, Peter & Larch, Mario, 2008. "Interdependent preferential trade agreement memberships: An empirical analysis," Journal of International Economics, Elsevier, vol. 76(2), pages 384-399, December.
  2. Keen, Michael & Lockwood, Ben, 2010. "The value added tax: Its causes and consequences," Journal of Development Economics, Elsevier, vol. 92(2), pages 138-151, July.
  3. K. Hemming & J. E. H. Shaw, 2002. "A parametric dynamic survival model applied to breast cancer survival times," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(4), pages 421-435.
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