Author
Abstract
Automation and globalisation imply deep changes in the labour market. An important policy issue is whether and how the tax-transfer rules should be reformed to help coping with those changes. While the prevailing response has consisted of more sophisticated designs of mean-testing and targeting, we also witness an increasing interest in policies inspired by simplicity. Using a combination of behavioural microsimulation and numerical optimization, we look for a (social welfare) optimal tax-transfer rule within a flexible class where total household disposable income is a 4th-degree polynomial in total household taxable income plus a constant. We use a model of household labour supply that makes it possible to account for equilibrium constraints and evaluate the effects of changes of the labour demand scenario. Beside the (observed) Status quo scenario, we consider two alternative stylized cases: the “Jobless” scenario and the “Polarised” scenario. We simulate and compare the social welfare attained by the current tax-transfer rules under the three scenarios and the social welfare attained by the different polynomial optimal tax-transfer rules identified in each scenario. We present results using the 2015 EU-SILC data sets for France, Germany, Italy and Luxembourg. The polynomial optimal rules are social welfare superior to the current ones in all the countries and under all the scenarios and—with the exception of Luxembourg—are close to a Universal Basic Income (or a Negative Income Tax) plus a not-too progressive tax rule (close to a Flat Tax).
Suggested Citation
Ugo Colombino & Nizamul Islam, 2025.
"Lost jobs, new jobs and optimal tax-transfer reforms,"
Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 64(4), pages 765-818, June.
Handle:
RePEc:spr:sochwe:v:64:y:2025:i:4:d:10.1007_s00355-024-01545-y
DOI: 10.1007/s00355-024-01545-y
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sochwe:v:64:y:2025:i:4:d:10.1007_s00355-024-01545-y. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.