Relevance of Input Data Time Series for Tax Revenue Forecasting

Author:

Bayer Ondřej

Publisher

Elsevier BV

Subject

General Economics, Econometrics and Finance

Reference10 articles.

1. Arlt, J. – Arltová, M. (2009): Ekonomickéčasovéřady. 1. vyd. Praha : Professional Publishing, 2009. 290 s. ISBN 978-80-86946-85-6.

2. Bayer, O. (2014a): International tax revenues - case of Granger causality. In Conference Proceedings XII. International Scientific Conference Economic Policy in Eurepean Union Member Countries. Opava: Slezskáuniverzita v Opavě, 2014, s. 69--78. ISBN 978-80-7510-045-0.

3. Bayer, O. (2014b): The Dependence of Tax Revenues in the Czech Republic and Germany: Case of Elasticity and Granger Causality. In SEDMIHRADSKÁ, L. (ed.). Proceeding of the 19th International Conference Theoretical and Practical Aspests of Public Finance 2014. Praha: Wolters Kluwer, 2014, s. 10--18. ISBN 978-80-7478-534-4.

4. Bayer, O. (2013): The Dependence of Tax Revenues of the Czech Republic in the Development of Czech and German Macroeconomic Indicators. In SEDMIHRADSKÁ, L. (ed.). Proceedings of the 18th International Conference - Theoretical and Practical Aspects of Public Finance 2013.Praha: Wolters Kluwer, 2013, s. 10--18. ISBN 978-80-7478-387-6.

5. Buettner, T. – Kauder, B. (2010): Revenue Forecasting Practices: Differences across Countries and Consequences for Forecasting Performance*. Fiscal Studies, 2010, Vol. 31, n. 3, p. 313-340..

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