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Integrated Modelling of the Impact of Direct and Indirect Taxes Using Complementary Datasets


 
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1. Title Title of document Integrated Modelling of the Impact of Direct and Indirect Taxes Using Complementary Datasets
 
2. Creator Author's name, affiliation, country Michael Savage; Economic and Social Research Institute, Dublin; Ireland
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) taxation; modelling; Ireland
 
4. Description Abstract Comprehensive modelling of the impact of taxes and tax policy options requires data on the impact at micro-level of both direct and indirect taxes. With some exceptions, most national expenditure surveys are not suitable for use in detailed modelling of the direct tax and welfare system. This makes approaches that impute expenditure data into detailed income surveys of considerable interest. Using a commonly applied method of imputing expenditure data into an income survey, this paper examines the degree of sensitivity in the distribution of household expenditure, and following that the distributional impact of indirect taxes, as the analysis moves from being based on actual expenditure data as recorded in the Irish Household Budget Survey (HBS), to being based on expenditure data imputed to the Irish Survey on Income and Living Conditions (SILC). Most sensitivity is found in the estimation and imputation of expenditure data for the bottom income decile. Nonetheless, the imputation process is shown to produce highly comparable distributional results when compared with actual expenditure data. An application of an indirect tax microsimulation model integrated with SWITCH, the ESRI tax-benefit microsimulation model, examines the distributional effects of simultaneous reforms of the direct tax, indirect tax, and social welfare systems, illustrating the analytical capability of the approach tested here.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2017-06-30
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://www.esr.ie/article/view/732
 
11. Source Title; vol., no. (year) The Economic and Social Review; Vol 48, No 2, Summer (2017)
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2017 The Economic and Social Review