Modelling Aggregate Personal Income Tax Revenue in Multi-Schedular and Multi-Regional Structures
AbstractThis paper derives analytical expressions for aggregate personal income tax revenue obtained from a multi-schedular and multi-regional personal income tax system, with revenue divided among central and regional governments. Aggregate income tax revenue is expressed as a function of characteristics of the distribution of taxable income, making it possible to identify the sources of revenue differences among regions. The approach is applied to the tax structure in Spain, and the effects of income distribution differences among the Spanish regions is examined.
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Bibliographic InfoPaper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 1099.
Length: 23 pages
Date of creation: 2010
Date of revision:
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Postal: Department of Economics, The University of Melbourne, 4th Floor, FBE Building, Level 4, 111 Barry Street. Victoria, 3010, Australia
Phone: +61 3 8344 5355
Fax: +61 3 8344 6899
Web page: http://www.economics.unimelb.edu.au
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Other versions of this item:
- Creedy, John & Sanz-Sanz, José Félix, 2011. "Modelling aggregate personal income tax revenue in multi-schedular and multi-regional structures," Economic Modelling, Elsevier, vol. 28(6), pages 2589-2595.
- H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
- H68 - Public Economics - - National Budget, Deficit, and Debt - - - Forecasts of Budgets, Deficits, and Debt
- H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
- H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
This paper has been announced in the following NEP Reports:
- NEP-ACC-2010-10-23 (Accounting & Auditing)
- NEP-ALL-2010-10-23 (All new papers)
- NEP-MIC-2010-10-23 (Microeconomics)
- NEP-PBE-2010-10-23 (Public Economics)
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