The Determinants of VAT Introduction: A Spatial Duration Analysis
AbstractAbstract: 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 InfoPaper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2012-071.
Date of creation: 2012
Date of revision:
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Web page: http://center.uvt.nl
Spatial duration; MCMC; Metropolis-Hastings algorithm; Value-added tax;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
- H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
This paper has been announced in the following NEP Reports:
- NEP-ACC-2012-09-16 (Accounting & Auditing)
- NEP-ALL-2012-09-16 (All new papers)
- NEP-ECM-2012-09-16 (Econometrics)
- NEP-GEO-2012-09-16 (Economic Geography)
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