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Top incomes in Ireland: Reconciling evidence from tax Records and household survey data. ESRI Discussion Paper August 2020.

Callan, Tim and Doorley, Karina and McTague, Alyvia (2020) Top incomes in Ireland: Reconciling evidence from tax Records and household survey data. ESRI Discussion Paper August 2020. [Discussion Paper]

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    Abstract

    There are two main sources of data on income distribution. Household based surveys report mainly on inequality in equivalised household level disposable income. Top income shares, on the other hand, focus on the tax unit as the unit of analysis, because administrative records are obtained from such units. Tax return data is typically analysed in terms of unequvalised fiscal income and obtains better coverage of those at the very top of the income distribution. In this paper, we find that differences in concepts and measures play a very substantial role in accounting for the divergence in the pictures of inequality arising from household and tax return data. Estimates of the share of the top 10% of tax units in fiscal income from the two sources are quite close. Average incomes for the top 1% of the population appear to be substantially higher in tax return data than in SILC - a pattern that has often been observed internationally. We conclude that there is a strong case for examining potential adjustments to survey data to ensure better representation of income levels at the very top of the income distribution.

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    Item Type: Discussion Paper
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > tax policy
    Countries > Ireland
    EU policies and themes > Policies & related activities > economic and financial affairs > housing
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > Economic and Social Research Institute (ESRI), Dublin > ESRI Discussion Paper
    Depositing User: Daniel Pennell
    Official EU Document: No
    Language: English
    Date Deposited: 10 Sep 2021 09:36
    Number of Pages: 20
    Last Modified: 10 Sep 2021 09:36
    URI: http://aei.pitt.edu/id/eprint/103562

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