Measuring the size and impact of public cash support for children in cross-national perspective
AbstractWe suggest a new comprehensive measure of support given through tax-benefit systems to families with children. Using microsimulation techniques, this accounts for all provisions contingent on the presence of children, while usually only gross child/family benefits are considered. We use EUROMOD, the European Union tax-benefit microsimulation model, to quantify the support for children and analyse its impact on household incomes and child poverty for 19 countries. We find that the conventional approach underestimates on average the total amount of support for children by about one fifth. Furthermore, the differences between the two measures vary considerably across countries and are, therefore, critical for cross-national comparisons.
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Bibliographic InfoPaper provided by "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi in its series Working Papers with number 024.
Length: 19 pages
Date of creation: Dec 2009
Date of revision:
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Web page: http://www.dondena.unibocconi.it/
Other versions of this item:
- Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2009. "Measuring the size and impact of public cash support for children in cross-national perspective," EUROMOD Working Papers EM6/09, EUROMOD at the Institute for Social and Economic Research.
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- GoedemÃƒÂ©, Tim & Van den Bosch, Karel & Salanauskaite, Lina & Verbist, Gerlinde, 2013.
"Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note,"
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