Files in this item
Revisiting the optimal linear income tax with categorical transfers
Item metadata
dc.contributor.author | Slack, Sean Edward | |
dc.date.accessioned | 2016-12-27T00:32:13Z | |
dc.date.available | 2016-12-27T00:32:13Z | |
dc.date.issued | 2015-09 | |
dc.identifier | 199670029 | |
dc.identifier | b1804512-2978-4eba-adb7-ba5d0bbf46fd | |
dc.identifier | 84934311959 | |
dc.identifier | 000361257400019 | |
dc.identifier.citation | Slack , S E 2015 , ' Revisiting the optimal linear income tax with categorical transfers ' , Economics Letters , vol. 134 , pp. 73-77 . https://doi.org/10.1016/j.econlet.2015.06.015 | en |
dc.identifier.issn | 0165-1765 | |
dc.identifier.uri | https://hdl.handle.net/10023/10018 | |
dc.description | This work was supported by AXA Research Fund. | en |
dc.description.abstract | When individuals differ in both productivity and some categorical attribute, optimal linear/piecewise-linear tax expressions are written to capture cases where it is suboptimal to eliminate inequality in the average social marginal value of income between categorical groups. Simulations provide examples. | |
dc.format.extent | 247446 | |
dc.language.iso | eng | |
dc.relation.ispartof | Economics Letters | en |
dc.subject | Between-group inequality | en |
dc.subject | Categorical benefit | en |
dc.subject | Linear income | en |
dc.subject | Tax | en |
dc.subject | Social marginal value of income | en |
dc.subject | HB Economic Theory | en |
dc.subject | SDG 10 - Reduced Inequalities | en |
dc.subject.lcc | HB | en |
dc.title | Revisiting the optimal linear income tax with categorical transfers | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Economics and Finance | en |
dc.identifier.doi | 10.1016/j.econlet.2015.06.015 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2017-03-01 | |
dc.identifier.url | http://dx.doi.org/10.1016/j.econlet.2015.06.015 | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.