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Leaving Money on the Table? Suboptimal Enrollment in the New Social Pension Program in China / Xi Chen, Lipeng Hu, Jody L. Sindelar.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Chen, Xi.
Contributor:
National Bureau of Economic Research.
Hu, Lipeng.
Sindelar, Jody L.
Series:
Working Paper Series (National Bureau of Economic Research) no. w24065.
NBER working paper series no. w24065
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2017.
Summary:
China's recently implemented New Rural Pension Scheme (NRPS), the largest social pension program in the world, was designed to provide financial protection for its rural population and reduce economic inequities. Yet the impact of this program is mitigated if those eligible fail to enroll. This paper examines the extent to which pension-eligible individuals, and their families, make optimal pension decisions. Families are involved in the NRPS decisions because, in most cases, adult children need to enroll as a prerequisite of their parents' receipt of benefits. We examine the decisions of both those eligible for pension benefits (i.e. over 60 years old) and their adult children. We use the rural sample of the 2012 China Family Panel Study to study determinants of the decision to enroll in NRPS, premiums paid, and time taken to enroll. We find evidence of low and suboptimal pension enrollment by eligible individuals and their families. Suboptimal enrollment takes various forms including failure to switch from the dominated default pension program to NRPS and little evidence that families make mutually beneficial intra-family decisions. For the older cohort, few individual and family characteristics are significant in enrollment decisions, but village characteristics play an important role. For the younger cohort, we find that more individual-level characteristics are significant, including own and children's education. Village characteristics are important but not as much as for the older cohort.
Notes:
Print version record
November 2017.

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