Replication Data for: The Power of Social Pensions: Evidence from China’s New Rural Pension Scheme
Principal Investigator(s): View help for Principal Investigator(s) Wei Huang, National University of Singapore; Chuanchuan Zhang, Central University of Finance and Economics
Version: View help for Version V1
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application/pdf | 313.4 KB | 04/28/2020 05:32:AM |
Project Citation:
Huang, Wei, and Zhang, Chuanchuan. Replication Data for: The Power of Social Pensions: Evidence from China’s New Rural Pension Scheme. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-16. https://doi.org/10.3886/E111943V1
Project Description
Summary:
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This paper utilizes the county-by-county roll-out of China’s New Rural Pension Scheme
(NRPS) and finds that, among age-eligible people, the pension scheme leads to higher household income and food expenditure, less farm work, better health, and lower mortality. In addition, the NRPS shifts age-ineligible adults from farm work to non-farm work but does not significantly affect their income, expenditure, or health. No significant evidence shows that the NRPS affects private transfers or health behaviors. These findings provide relevant evidence of the impacts of social pensions on individual behaviors and welfare for developing countries today and developed countries in the past.
Funding Sources:
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NBER (Grant 2013-10-22));
National Natural Science Foundation of China (71503282);
Startup fund support of the National University of Singapore (WBS: R-297-000-138-133).)
Scope of Project
Subject Terms:
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Pension;
Health;
Elderly
JEL Classification:
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H55 Social Security and Public Pensions
I38 Government Policy • Provision and Effects of Welfare Programs
O20 General
O20
H55 Social Security and Public Pensions
I38 Government Policy • Provision and Effects of Welfare Programs
O20 General
O20
Geographic Coverage:
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China
Time Period(s):
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2009 – 2012
Data Type(s):
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administrative records data;
aggregate data;
survey data
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