Evidence map›Paper›PMID 32864327›Full record

ArticleJournal of the economics of ageing2020

Leaving Money on the Table? Suboptimal Enrollment in the New Social Pension Program in China.

Xi Chen, Lipeng Hu, Jody Sindelar

Open access · greenAbstract read
In one paragraph

Article in Journal of the economics of ageing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Xi ChenDepartment of Health Policy and Management, Yale School of Public Health.
Lipeng HuNational School of Development, Peking University.
Jody SindelarDepartment of Health Policy and Management, Yale School of Public Health.
Yale University · USPeking University · CN

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Social Pension, Health, and Healthy AgingK01AG053408 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2018 to 2021
$514k
Old-Age Pension, Household Behavior Change and the Well-being of the EderlyR03AG048920 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2014 to 2015
$328k
NIA NIH HHS K01 AG053408NIA NIH HHS P30 AG021342NIA NIH HHS R03 AG048920
6 · The paper itself

Abstract

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 evidence that families do not 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, 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. Our finding of suboptimal enrollment is important as it highlights the need for policies to improve enrollment. This paper provides needed information on the extent of the factors relating to suboptimal enrollment.

Indexed as

default optionFamily Binding Policyintergenerational arrangementsintra-family decisionsJ14J18R23R28social pensionsuboptimal choices

Identifiers

PMID32864327
PMCPMC7453761
OpenAlexW2775092863

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.