Health status and migration: a propensity score matching with difference-in-difference regression approach

This longitudinal study attempted to identify changes in employment status and overall health status. The participants were workers who had experienced work-related injuries in the past. In this study, we used the Panel Study of Workers’ Compensation Insurance from 2013 to 2017. This study utilized propensity score matching for a quasi-experimental design study of the first year to exclude the effects of the confounding variables and exclude the effect of employment status, which is the main independent variable. After applying propensity score matching the research subjects totaled 1070. Changes in employment status were found to have a negative effect on overall health status. This raises new implications for existing industrial accident-related support policies. Thus, it is considered that the scope should be expanded from policies related to re-employment of workers after an industrial accident to improving quality of life through maintaining employment from a long-term perspective. The notable point of this study was to apply the PSM methods. By applying PSM, we clearly identified the effect of changes in employment status on health status.

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Analysis of the Effectiveness of Government－sponsored Management Consulting Projects Using Propensity Score Matching(PSM) and Difference in Difference(DID)

Review of Accounting and Policy Studies ◽

10.21737/raps.2021.05.26.2.237 ◽

2021 ◽

Vol 26 (2) ◽

pp. 237-260

Author(s):

Hai－Il Jung ◽

Sang－Ryul Lee

Keyword(s):

Propensity Score ◽

Propensity Score Matching ◽

Management Consulting ◽

Difference In Difference

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Do Community-based Livelihood Interventions Affect Sexual and Reproductive Health and Rights of Young People in Slum Areas of Uganda: a Difference-in-difference with Kernel Propensity Score Matching Analysis

Journal of Urban Health ◽

10.1007/s11524-021-00596-1 ◽

2022 ◽

Author(s):

Andre M. N. Renzaho ◽

Joseph K. Kamara ◽

Daniel Doh ◽

Paul Bukuluki ◽

Rashidul A. Mahumud ◽

...

Keyword(s):

Young People ◽

Reproductive Health ◽

Propensity Score ◽

Propensity Score Matching ◽

Sexual And Reproductive Health ◽

Difference In Difference ◽

Community Based ◽

Propensity Score Matching Analysis ◽

Slum Areas

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USING PROPENSITY SCORE MATCHING METHOD TO ESTIMATE THE IMPACT OF VIETGAP PROGRAM ON THE HEALTH OF FARMERS IN THUA THIEN HUE PROVINCE, VIETNAM

HUE UNIVERSITY JOURNAL OF SCIENCE ECONOMICS AND DEVELOPMENT ◽

10.26459/jed.v126i5b.4109 ◽

2017 ◽

Vol 126 (5B) ◽

pp. 17

Author(s):

Trần Huỳnh Bảo Châu

Keyword(s):

Health Status ◽

Propensity Score ◽

Propensity Score Matching ◽

Pesticide Exposure ◽

Agricultural Practices ◽

Health Problems ◽

Vegetable Production ◽

Matching Method ◽

Environment Friendly ◽

The Impact

Abstract:This study estimates the impact value of the VietGAP program when applied to vegetable production on the health of farmers in Thua Thien Hue province. By employing the propensity score matching (PSM) method, our findings show that the VietGAP program has a significant impact on farmers’ health. In particular, the program reduces farmers’ health problems due to pesticide exposure by 15.6 %, 22.9 %, 25.5 %, and 23.6 %, respectively, from four types of matching. This study provides evidence of the positive impacts of the VietGAP program on the health status of farmers in Thua Thien Hue province. It is therefore hoped that the production, consumption, and management solutions provided by the VietGAP program can encourage farmers to use environment-friendly agricultural practices.Keywords: propensity score matching (PSM) method, VietGAP program, farmers’ health

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The SOE Channel of Monetary Policy Transmission: Evidence from China's Economic Stimulus Package

Asian Economic Papers ◽

10.1162/asep_a_00836 ◽

2021 ◽

pp. 1-21

Author(s):

Wenbin Chen ◽

Shi-Zhuan Han ◽

Jie Li ◽

Tianhang Zhou

Keyword(s):

Monetary Policy ◽

Propensity Score ◽

Propensity Score Matching ◽

Bank Loans ◽

Monetary Policy Transmission ◽

Difference In Difference ◽

Policy Transmission ◽

High Level ◽

Stimulus Package

Abstract We examine the state-owned enterprises (SOEs) channel in monetary policy transmission in the context of China's 2008 stimulus package. Using a difference-in-difference approach, we show that the higher SOE share in the cities after the stimulus package, the more bank loans issued in the cities. Furthermore, we find that the role of SOEs in monetary policy transmission is more significant in underdeveloped cities and cities with a high level of government intervention. We adopt propensity score matching difference-in-difference to deal with potential endogeneity problem. The baseline results also survive a series of robustness tests.

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