dc.contributor.author |
MacCulloch, Robert |
en |
dc.date.accessioned |
2018-10-08T20:46:51Z |
en |
dc.date.issued |
2016-01 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/39542 |
en |
dc.description.abstract |
Imagine a government confronted with a controversial policy question, like whether it should cut the level of unemployment benefits. Will social welfare rise as a result? Will some groups be winners and other groups be losers? Will the welfare gap between the employed and unemployed increase? “Happiness data” offer a new way to make these kinds of evaluations. These data allow us to track the well-being of the whole population, and also sub-groups like the employed and unemployed people, and correlate the results with relevant policy changes. |
en |
dc.relation.ispartofseries |
IZA World of Labor |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Can “happiness data” help evaluate economic policies? |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.15185/izawol.226 |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.author-url |
https://wol.iza.org/articles/can-happiness-data-help-evaluate-economic-policies/long |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
630182 |
en |
pubs.org-id |
Business and Economics |
en |
pubs.org-id |
Graduate School of Management |
en |
dc.identifier.eissn |
2054-9571 |
en |
pubs.number |
226 |
en |
pubs.record-created-at-source-date |
2017-11-15 |
en |
pubs.online-publication-date |
2015-01 |
en |