Intergenerational policy and the measurement of tax incidence

Juan Carlos Conesa and Carlos Garriga ()

European Economic Review, 2016, vol. 83, issue C, 1-18

Abstract: We evaluate the ability of generational accounting to assess the potential welfare implications of policy reforms. In an intergenerational context policy reforms usually have redistributive, efficiency, and general equilibrium implications. Our analysis shows that when the policy reform implies changes in economic efficiency, generational accounts can be misleading not only about the magnitude of welfare changes, but also about the identity of who wins and who losses. In contrast, the generational accounts correctly identify welfare changes when the policy reform has only a pure intergenerational redistribution component. We illustrate and quantify this issue in the context of widely considered policy reforms (substitution of consumption for labor taxation, and the increase of retirement age) and in a more general context of optimal policy.

Keywords: Generational accounts; Optimal reforms; Overlapping generations (search for similar items in EconPapers)
JEL-codes: E62 H21 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0014292115001592
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Intergenerational policy and the measurement of tax incidence (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eecrev:v:83:y:2016:i:c:p:1-18

DOI: 10.1016/j.euroecorev.2015.10.009

Access Statistics for this article

European Economic Review is currently edited by T.S. Eicher, A. Imrohoroglu, E. Leeper, J. Oechssler and M. Pesendorfer

More articles in European Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().