Does long-term care insurance affect labor supply? Empirical evidence from China.

Hongwang Guo, Xinrui Wu, Ziming Liu

Abstract read

In one paragraph

Article in International journal of health economics and management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hongwang GuoSchool of Public Administration and Policy, Renmin University of China, Beijing, 100872, China.

Xinrui WuSchool of Public Affairs, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China.

Ziming LiuSchool of Public Affairs, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China. z.liu@zju.edu.cn.ORCID http://orcid.org/0000-0002-8867-2682

Funding

National Social Science Foundation of China 22BGL309

6 · The paper itself

Abstract

This paper investigates the effects of exposure to the long-term care insurance (LTCI) on labor supply of the middle-aged and older adult in China, using data from the China Health and Retirement Longitudinal Study from 2011 to 2018. We address the potential endogeneity of LTCI exposure with the difference-in-differences estimator. The results indicate that LTCI exposure has negative impacts on labor supply. Respondents in the pilot cities with LTCI reduce approximately 1.984 working hours per week. They also tend to have a 3.9% lower probability of working. In particular, the proportion of respondents in pilot cities engage in informal work increased by 1.6%. The impacts of LTCI exposure on labor supply are particularly pronounced for caregivers and respondents with functional limitations. The expected income effect seems to be the suggestive mechanism through which LTCI exposure affects labor supply. Our results highlight the spillover effects of LTCI in aging societies.

Indexed as

EmploymentInsurance, Long-Term CareAgedChinaFemaleHumansIncomeLongitudinal StudiesMaleMiddle AgedChinaIncome effectsLabor supplyLong-term care insuranceWorking hours

Identifiers

PMID42640386

DOI10.1007/s00148-021-00860-3

What OpenQuestion holds

Textmetadata

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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.