Arbeitspapier

Welfare analysis and redistributive policies

Applied welfare analyses of redistributive systems nowadays benefit from powerful tax benefit microsimulation programs combined with administrative data. Arguably, most of the distributional studies of that kind focus on social welfare defined as a function - typically inequality or poverty indices - of household equivalized income. In parallel, economic research has made considerable progress in the measurement of welfare along several dimensions. Distinct but related branches of the literature have attempted (i) to model different behaviour (in a way that matter for incidence and redistribution of tax benefit policies), (ii) to go beyond income, (iii) to better define and estimate equivalence scales, (iv) to open the household black box and measure welfare at the individual level. I suggest a general framework to critically review these streams of literatures and to discuss whether recent advances in each of these fields have been or could be readily operationalized in welfare analyses and policy simulations.

Language
Englisch

Bibliographic citation
Series: EUROMOD Working Paper ; No. EM16/17

Classification
Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Personal Income, Wealth, and Their Distributions
Taxation and Subsidies: Efficiency; Optimal Taxation
Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
Fiscal Policies and Behavior of Economic Agents: Household
Subject
welfare analysis
redistributive systems
microsimulation
equivalence scales
collective models

Event
Geistige Schöpfung
(who)
Bargain, Olivier
Event
Veröffentlichung
(who)
University of Essex, Institute for Social and Economic Research (ISER)
(where)
Colchester
(when)
2017

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bargain, Olivier
  • University of Essex, Institute for Social and Economic Research (ISER)

Time of origin

  • 2017

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