Demographics, Old-Age Transfers and the Current Account /

Building on the evolving literature on the topic, this paper reviews the relationship between demographics and long-run capital flows in both theory and in the data. For this purpose, we develop a two region overlapping generations model where countries differ in their population growth and mortalit...

Ամբողջական նկարագրություն

Մատենագիտական մանրամասներ
Հիմնական հեղինակ: Dao, Mai Chi
Այլ հեղինակներ: Jones, Callum
Ձևաչափ: Ամսագիր
Լեզու:English
Հրապարակվել է: Washington, D.C. : International Monetary Fund, 2018.
Շարք:IMF Working Papers; Working Paper ; No. 2018/264
Առցանց հասանելիություն:Full text available on IMF
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245 1 0 |a Demographics, Old-Age Transfers and the Current Account /  |c Mai Chi Dao, Callum Jones. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 2018. 
300 |a 1 online resource (35 pages) 
490 1 |a IMF Working Papers 
500 |a <strong>Off-Campus Access:</strong> No User ID or Password Required 
500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a Building on the evolving literature on the topic, this paper reviews the relationship between demographics and long-run capital flows in both theory and in the data. For this purpose, we develop a two region overlapping generations model where countries differ in their population growth and mortality risk. Besides exploring the implications of demographics for saving and the current account over the long-run, we also study how these might be affected by differences in the coverage and sustainability of old-age transfer schemes. The model predicts that population structure and life expectancy (which affects the need to save to meet old age consumption) affect current account levels, and that while countries with more generous unfunded transfer schemes tend to have lower saving and more capital inflows over the long-run, this effect may be dampened by natural limits (on taxation) of these schemes. The key predictions of the model are generally supported by a rich panel dataset. 
538 |a Mode of access: Internet 
700 1 |a Jones, Callum. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2018/264 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2018/264/001.2018.issue-264-en.xml  |z IMF e-Library