Economics at your fingertips  

Immigration policy and demographic dynamics: Welfare analysis of an aging Japan

Akira Okamoto

Journal of the Japanese and International Economies, 2021, vol. 62, issue C

Abstract: This study quantified the effects of immigration policies in an aging and depopulating Japan. Under a constant total number of immigrants, it focused on the optimal period for an immigration policy that maximized per-capita utility. Simulation results, based on an extended lifecycle simulation model with endogenous fertility, showed that a longer period immigration policy increased the future population and enhanced long-run economic growth. Conversely, a shorter period immigration policy enhanced economic growth in earlier years but less so in the long run. This study found that an optimal duration for an immigration policy, under the standard parameter settings for Japan, was nine years; this finding was derived through reconciling the merits and demerits between shorter and longer period immigration policies.

Keywords: Immigration policy; Aging population; Welfare analysis; Dynamic overlapping generations model; Simulation analysis (search for similar items in EconPapers)
JEL-codes: C68 H30 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

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:

DOI: 10.1016/j.jjie.2021.101168

Access Statistics for this article

Journal of the Japanese and International Economies is currently edited by Takeo Hoshi

More articles in Journal of the Japanese and International Economies from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2022-07-09
Handle: RePEc:eee:jjieco:v:62:y:2021:i:c:s0889158321000472