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The Use of Hypothetical Household Data for Policy Learning: Comparative Tax-Benefit Indicators Using EUROMOD HHoT

[journal article]

Gasior, Katrin
Recchia, Pasquale

Abstract

Tax-benefit microsimulation models are typically used to quantify the effect of specific policy changes on the income distribution based on representative microdata. Such analysis evaluates policies by considering how different tax-benefit elements interact given personal, household and labour marke... view more

Tax-benefit microsimulation models are typically used to quantify the effect of specific policy changes on the income distribution based on representative microdata. Such analysis evaluates policies by considering how different tax-benefit elements interact given personal, household and labour market characteristics. Using hypothetical household data instead helps address broader questions of policy design and systemic (cross-national) differences. This article introduces the Hypothetical Household Tool (HHoT) in combination with the microsimulation model EUROMOD to analyse European tax-benefit policies from a comparative perspective. It presents a series of applications from social welfare analysis illustrating how hypothetical data can benefit comparative academic and policy research.... view less

Keywords
social policy; redistribution; tax policy; cash benefit; social insurance; EU; simulation; indicator; data capture

Classification
Basic Research, General Concepts and History of Social Policy

Free Keywords
hypothetical households; comparative indicators; microsimulation

Document language
English

Publication Year
2020

Page/Pages
p. 170-189

Journal
Journal of Comparative Policy Analysis: Research and Practice, 22 (2020) 2

Issue topic
Comparing the Development of Social Impact Bonds across Different Countries and Policy Sectors

DOI
https://doi.org/10.1080/13876988.2019.1609784

ISSN
1572-5448

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.