The causal effects of working time on mental health: The effectiveness of the law reform raising the overtime wage penalty
| Published date | 01 December 2023 |
| Author | Miki Kohara,Taisei Noda |
| Date | 01 December 2023 |
| DOI | http://doi.org/10.1111/1468-0106.12441 |
ORIGINAL ARTICLE
The causal effects of working time on mental
health: The effectiveness of the law reform
raising the overtime wage penalty
Miki Kohara
1
| Taisei Noda
2
1
Osaka School of International Public
Policy, Osaka University, Osaka, Japan
2
Department of Economics, Rice
University, Houston, USA
Correspondence
Miki Kohara, Osaka School of
International Public Policy, Osaka
University; 1-31 Machikaneyama,
Toyonaka, Osaka, 560-0043, Japan.
Email: kohara.miki.osipp@osaka-u.ac.jp
Abstract
The present paper reexamines the causal effect of
working hours on workers’mental health. We utilize
Japan's 2010 reform of the Labor Standards Act as a social
experiment to examine how the increased wage penalty
for long overtime work affects working hours and
workers’mental health. Utilizing a unique panel dataset
containing health behaviours as well as individual, house-
hold and workplace characteristics of male workers, we
find that the wage penalty reform indeed succeeded in
reducing overtime hours and total working hours and
that the reductions contributed to better mental health of
workers. Further empirical investigation suggests that the
reduction effect of the reform on working time is homo-
geneous among age groups; however, the harmful effect
of working time on mental health is large and statistically
significant among young workers. Our results suggest
that setting a high wage penalty for long overtime work
effectively reduces overtime work and improves workers’
health outcomes, particularly for young people.
1|INTRODUCTION
The link between working hours and mental health has attracted both academic and social
attention. It is well known that there is a strong correlation between these two factors.
However, the existence of causal relationships remains ambiguous. This is because a reverse
causality from mental health to working hours can exist. The healthier the individuals become,
the longer they work.
Received: 5 November 2023 Accepted: 5 November 2023
DOI: 10.1111/1468-0106.12441
638 ©2023 John Wiley & Sons Australia, Ltd Pac Econ Rev. 2023;28:638–664.wileyonlinelibrary.com/journal/paer
Is this relationship causal? Even though there is a tremendous amount of research examining
the correlation between the two, few empirical studies dealing with the causal effects of working
hours on workers’mental health have been conducted. Using data from 15 European countries,
Cottini and Lucifora (2013) show a causal relationship between adverse working conditions and
workers’mental health. They show that workers’mental health deteriorated with an increase in
job demands. Their measure of job demands reflects severe working conditions and work envi-
ronments, including long working hours.
Using a regression discontinuity design and difference-in-differences (DID) analysis with
the Swedish registered data, Hofmarcher (2021) shows that an increase in paid vacations in
Sweden does not improve young workers’health. Cygan-Rehm and Wunder (2018) conducted
a fixed-effect-instrumental-variable (FE-IV) estimations using statutory workweek regulations
in the German public sector as an instrument with a panel dataset to report that increased
working hours led to lower subjective and objective health measures.
Berniell and Bietenbeck (2020) examine the effect of French law reform on workers’health
by reducing the standard workweek at constant earnings. They conducted a DID analysis utiliz-
ing the fact that the targeted reform had different deadlines for implementation depending on
firm size. The study reports that the reform-induced reduction in working hours changed
workers’health behaviours (e.g., smoking) and improved body mass index and self-reported
health. A similar implication, but on worker satisfaction, was derived by Lepinteur (2019), who
applied the DID estimation to the reduction in standard working hours in Portugal and France.
For Asian countries, Nie et al. (2015) used the China Health and Nutrition Survey and
found little evidence that long work hours affect either workers’health or their health-related
activities. Taking the endogeneity problem more seriously, Ma (2023) conducted a dynamic
panel estimation with the China Family Panel Studies in the 2010s and showed that long work-
ing hours have positive and significant effects on the risk of mental illness. Ahn (2016), using a
panel dataset on workweek reduction in South Korea, showed that work-hour reduction
encourages workers to engage in more healthy behaviours.
Although health is not a target to be examined, Lee and Lee (2016) focus on the regulations to
reduce standard work hours and the differences among industries and establishment sizes. They
exploit the DID-IV estimation to show that a reduction in weekly working hours significantly
decreases the injury rate in South Korea. Using historical changes in the standard workweek in
Japan and Korea, Hamermesh et al. (2017) show that workers’satisfaction, which is strongly
related to mental and physical health, increases with a reduction in statutory working hours.
Focusing on workers’mental health in Japan, Kuroda and Yamamoto (2016) examine
Japanese employee-level panel data and show that the deterioration of mental health is attrib-
uted to increases in long working hours in Japan, mainly by using panel estimation to remove
unobserved heterogeneity among workers. Using the work records of a Japanese manufacturing
company and the original panel survey of employees in that company from 2015 to 2016, Sato
et al. (2020) also show that long and irregular working hours for Japanese workers deteriorate
their mental health, The results are noteworthy in the sense that they use the company's objec-
tive record of working hours but not a respondent's objective self-reported answer to the length
of work. They also control for individual fixed effects in the estimation.
This study addresses the endogeneity problem by utilizing Japan's 2010 reform of the Labor
Standards Act as a social experiment. The reform targeted workers of large firms in several indus-
tries and raised the wage penalty from 25% to 50% for overtime hours of more than 60 h per month.
The increase in the wage penalty might incentivize employers to reduce overtime by more than
60 h per month, which corresponds to approximately 15 h per week. We use this as a possible
KOHARA and NODA 639
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations