Endogenous fertility, externality and phase out of pensions

Amol, Monisankar Bishnu, Harsh Kumar and Tridip Ray

CAMA Working Papers from Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University

Abstract: This paper exploits a well accepted inefficiency that arises out of Pay-As-You-Go (PAYG) pensions itself to phase it out in a Pareto way. The positive externality of having children in a PAYG pension system is carefully utilized to phase the pensions out. In a model with endogenous fertility the paper first confirms the sub-optimality of parent’s choices and recommends an intergenerationally balanced childcare subsidy to correct for the externalities in a PAYG system. However, if PAYG pension program needs to be dismantled for various reasons, it can be phased out from there infinite time and, more importantly, just by exploiting the above mentioned externalities keeping the Pareto conditions intact. This phase out plan under Pareto satisfies all the standard efficiency criteria suggested in the literature when fertility is endogenous.

Keywords: Endogenous fertility; Fertility externality under PAYG pensions; Phase out of PAYG pensions; Pareto efficiency (search for similar items in EconPapers)
Pages: 49 pages
Date: 2020-11
New Economics Papers: this item is included in nep-age and nep-dge
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://cama.crawford.anu.edu.au/sites/default/fil ... bishnu_kumar_ray.pdf (application/pdf)

Related works:
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:een:camaaa:2020-96

Access Statistics for this paper

More papers in CAMA Working Papers from Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University Contact information at EDIRC.
Bibliographic data for series maintained by Cama Admin ().