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Modelling the Impact of Direct and Indirect Taxes Using Complementary Datasets. ESRI WP496. February 2015

Savage, Michael and Callan, Tim (2015) Modelling the Impact of Direct and Indirect Taxes Using Complementary Datasets. ESRI WP496. February 2015. [Working Paper]

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    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. There are, however, limits on the amount of data that can be gathered by any one survey. With some exceptions, most notably the Living Costs and Food Survey (LCF) in the UK, most national expenditure surveys are not suitable for use in detailed modelling of the direct tax and welfare system. This makes approaches which impute expenditure data into detailed income surveys of considerable interest. In this paper, we assess the sensitivity of the distributional effects of indirect taxes to the choice between actual, estimated and imputed expenditure data. By doing so, the analysis here serves as an updated picture of the distributional effects of the indirect tax system in Ireland, as well as a base for future microsimulation analysis of simultaneous direct tax, indirect tax and welfare reform.

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    Item Type: Working Paper
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > tax policy
    Countries > Ireland
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > Economic and Social Research Institute (ESRI), Dublin > ESRI Working Papers
    Depositing User: Alyssa McDonald
    Official EU Document: No
    Language: English
    Date Deposited: 12 Mar 2018 14:53
    Number of Pages: 32
    Last Modified: 12 Mar 2018 14:53
    URI: http://aei.pitt.edu/id/eprint/88107

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