Evidence map›Paper›PMID 36072046›Full record

ArticleFrontiers in psychology2022

The effect of subjective life expectancy on the participation in commercial pension insurance of Chinese elderly.

Mei Zhou, Yingyi Wang, Yunjia Liang, Ruonan Shi, Shaoyang Zhao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Mei ZhouSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, China.
Yingyi WangSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, China.
Yunjia LiangSchool of Economics, Sichuan University, Chengdu, China.
Ruonan ShiSchool of Economics, Sichuan University, Chengdu, China.
Shaoyang ZhaoSchool of Economics, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This paper studies the impact of the subjective life expectancy of the elderly on their commercial pension insurance participation at micro perspective, providing new evidence to explain the motivation of commercial pension insurance participation in China. Methods: Using 4 waves of data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, a multiple linear regression model is constructed to investigate the effect of subjective life expectancy on commercial pension insurance participation among the Chinese elderly, and IV model estimation shows that the results are robust. Meanwhile, the heterogeneity of the effect of elderly life expectancy on commercial pension insurance participation behavior among different characteristic groups is also studied. Results: A one standard deviation improvement in our measure of subjective life expectancy predicts a 0.9% point higher participation rate in commercial pension insurance. We also find that there is significant heterogeneity in the effects of subjective life expectancy on the participation of elderly people in commercial pension insurance with respect to gender, education, hukou, and wealth. Conclusion: This paper provides a new perspective to explain the factors influencing commercial pension insurance participation in China. We suggest that improving residents' awareness of life expectancy is beneficial to their reasonable retirement planning, in the background of stepping into an aging society in China.

Indexed as

commercial pension insuranceelderlyheterogeneityIV methodsubjective life expectancy

Identifiers

PMID36072046
PMCPMC9444002

What OpenQuestion holds

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Registered trials

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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.