See the published version of this preprint at International Journal for Equity in Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research
Wenbin Zang
Southwestern University of Finance and Economics
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background Analyses using classical regression models show that health has significant impact on income. However, in the case of widening income gap, estimating the average effect of health on income would aggregate the inequality of health-income effect for poor workers.
Methods Data came from four waves of China Family Panel Survey data from 2012 to 2018. We generalized a balance panel data including worker characteristics, job information and health status. The final sample of our study includes 19,540 person-year observations aged between 18 to 70 years. Panel Quantile Regression method was used to analyse the effect of health on income for workers under different income distribution.
Results The regression estimates show that the effects of health on income are larger at 25th and 50th quantile of distributions, 21% and 16.9% respectively. We test the robustness by the heterogeneity of workers’ gender and register living regions, find that health is more important for female workers and rural workers. Last, we find that workers who participated in manual labour were more dependent on their health than those involved in brain work.
Conclusions Our findings suggest that the inequality of health-income effect would underestimate the importance of health for lower income workers, especially for poor female and rural ones. In addition, we also find that the mechanism of reduced income effect due to the difference of the employment type.
Keywords
Health-Income Effect, Income distribution, Panel Quantile Regression, Inequality
Figure 1
Figure 2
Figure 3
The full text of this article is available to read as a PDF.
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at International Journal for Equity in Health.
No community comments so far
Editorial decision: Accept
On 29 May, 2020
Review #2 received
Received 28 May, 2020
Review #3 received
Received 28 May, 2020
Review #1 received
Received 21 May, 2020
Reviewer #3 agreed
On 08 May, 2020
Reviewer #2 agreed
On 07 May, 2020
Reviewers invited
Invitations sent on 06 May, 2020
Reviewer #1 agreed
On 06 May, 2020
Editor assigned
On 05 May, 2020
Submission checks complete
On 04 May, 2020
Editor invited
On 04 May, 2020
Version 1
Posted 24 Feb, 2020
No comments provided
Review #3 received
Received 19 Mar, 2020
Editorial decision: Major Revision
On 19 Mar, 2020
Review #2 received
Received 16 Mar, 2020
Review #1 received
Received 15 Mar, 2020
Reviewer #3 agreed
On 28 Feb, 2020
Reviewer #1 agreed
On 25 Feb, 2020
Reviewer #2 agreed
On 25 Feb, 2020
Reviewers invited
Invitations sent on 24 Feb, 2020
Editor assigned
On 21 Feb, 2020
Submission checks complete
On 20 Feb, 2020
Editor invited
On 20 Feb, 2020
First submitted
On 19 Feb, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at International Journal for Equity in Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Wenbin Zang
Southwestern University of Finance and Economics
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at International Journal for Equity in Health.
No community comments so far
Editorial decision: Accept
On 29 May, 2020
Review #2 received
Received 28 May, 2020
Review #3 received
Received 28 May, 2020
Review #1 received
Received 21 May, 2020
Reviewer #3 agreed
On 08 May, 2020
Reviewer #2 agreed
On 07 May, 2020
Reviewers invited
Invitations sent on 06 May, 2020
Reviewer #1 agreed
On 06 May, 2020
Editor assigned
On 05 May, 2020
Submission checks complete
On 04 May, 2020
Editor invited
On 04 May, 2020
Version 1
Posted 24 Feb, 2020
No comments provided
Review #3 received
Received 19 Mar, 2020
Editorial decision: Major Revision
On 19 Mar, 2020
Review #2 received
Received 16 Mar, 2020
Review #1 received
Received 15 Mar, 2020
Reviewer #3 agreed
On 28 Feb, 2020
Reviewer #1 agreed
On 25 Feb, 2020
Reviewer #2 agreed
On 25 Feb, 2020
Reviewers invited
Invitations sent on 24 Feb, 2020
Editor assigned
On 21 Feb, 2020
Submission checks complete
On 20 Feb, 2020
Editor invited
On 20 Feb, 2020
First submitted
On 19 Feb, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at International Journal for Equity in Health.
Background Analyses using classical regression models show that health has significant impact on income. However, in the case of widening income gap, estimating the average effect of health on income would aggregate the inequality of health-income effect for poor workers.
Methods Data came from four waves of China Family Panel Survey data from 2012 to 2018. We generalized a balance panel data including worker characteristics, job information and health status. The final sample of our study includes 19,540 person-year observations aged between 18 to 70 years. Panel Quantile Regression method was used to analyse the effect of health on income for workers under different income distribution.
Results The regression estimates show that the effects of health on income are larger at 25th and 50th quantile of distributions, 21% and 16.9% respectively. We test the robustness by the heterogeneity of workers’ gender and register living regions, find that health is more important for female workers and rural workers. Last, we find that workers who participated in manual labour were more dependent on their health than those involved in brain work.
Conclusions Our findings suggest that the inequality of health-income effect would underestimate the importance of health for lower income workers, especially for poor female and rural ones. In addition, we also find that the mechanism of reduced income effect due to the difference of the employment type.
Figure 1
Figure 2
Figure 3
The full text of this article is available to read as a PDF.
Loading...