Replication data for: Generalized Social Marginal Welfare Weights for Optimal Tax Theory

Principal Investigator(s): View help for Principal Investigator(s) Emmanuel Saez; Stefanie Stantcheva

Name	File Type	Size	Last Modified
Replication data for: Generalized Social Marginal Welfare Weights for Optimal Tax Theory		0

Project Citation:

Saez, Emmanuel, and Stantcheva, Stefanie. Replication data for: Generalized Social Marginal Welfare Weights for Optimal Tax Theory. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113013V1

Project Description

Summary: This paper proposes to evaluate tax reforms by aggregating money metric losses and gains of different individuals using "generalized social marginal welfare weights." Optimum tax formulas take the same form as standard welfarist tax formulas by simply substituting standard marginal social welfare weights with those generalized weights. Weights directly capture society's concerns for fairness without being necessarily tied to individual utilities. Suitable weights can help reconcile discrepancies between the welfarist approach and actual tax practice, as well as unify in an operational way the most prominent alternatives to utilitarianism such as Libertarianism, equality of opportunity, or poverty alleviation. (JEL D60, D63, H21, H23, I38)

Scope of Project

JEL Classification:
      D60 Welfare Economics: General
      D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
      H21 Taxation and Subsidies: Efficiency; Optimal Taxation
      H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
      I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs

Related Publications

Download this file

Published Versions

V1 [2019-10-12]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.