Skip to main content
Have a personal or library account? Click to login
Effects of a national work hours restriction in a high hours country Cover

Effects of a national work hours restriction in a high hours country

By:   
Open Access
|Sep 2022

Figures & Tables

Figure 1

Distribution of hours worked before the policy change.

Notes: (A) Male workers between the ages of 25 and 55, who worked more than 34 h in the reference week, in all industries and establishment sizes subject to the new restriction. (B) Male workers between the ages of 25 and 55, who usually worked more than 34 h/week in all industries and establishment sizes subject to the new restriction.

Table 1

Summary statistics

BeforeAfter
MeanSDMeanSD
A. Outcome variables for full-time workers
Actual hours worked46.9718.13445.1887.056
Usual hours worked*43.4506.40143.2465.857
Monthly earnings (10,000 Won)*329.171153.306353.503169.142
Hourly wages (10,000 Won)*1.7830.9061.9090.981
B. Outcome variables for workers working >52 h/week
Actual hours worked60.3456.61259.8146.284
Usual hours worked*59.8945.62759.4365.453
Monthly earnings (10,000 Won)*272.004111.977307.123128.292
Hourly wages (10,000 Won)*1.0500.4461.1860.499
C. Demographic characteristics
Age40.0508.35840.1498.393
Marital status
  Single0.2830.4500.3130.464
  Married0.6830.4650.6550.476
  Widowed0.0040.0620.0040.059
  Divorced0.0300.1710.0290.167
D. Job characteristics
Fixed-term contract0.1000.3000.1070.310
Status in employment
  Regular workers0.8440.3630.8590.348
  Temporary workers0.0890.2840.0790.269
  Daily hired workers0.0380.1940.0340.180
  Self-employed with employees0.0290.1690.0280.166
  Self-employed without employees0.0000.0040.0000.002
  Unpaid family workers0.0000.0150.0000.020
Establishment size
  5–9 employees0.1870.3900.1830.386
  10–29 employees0.2460.4300.2490.433
  30–99 employees0.2210.4150.2160.411
  100–299 employees0.1370.3430.1370.344
  300+ employees0.2110.4080.2150.411
E. Additional job characteristics*
Special type of employment0.0120.1070.0100.097
Flexible work hours0.0640.2450.1520.359
Employer-sponsored pension0.8970.3040.9130.282
Employer-sponsored health care0.9000.3000.9140.280
Employment insurance0.7940.4040.8420.365
Severance pay0.8900.3130.9060.292
Bonus0.8730.3320.8590.348
Overtime pay0.6700.4700.6690.471
Paid vacation0.8100.3930.8270.378
Training0.6810.4660.6750.468
Salary form
  Monthly0.5930.4910.5800.494
  Annually0.3030.4590.3200.467
  Others0.1040.3050.1000.300
Union
  No union0.6560.4750.6600.474
  Not eligible for union0.0760.2650.0770.266
  Eligible but did not join union0.0780.2680.0820.275
Union member0.1900.3920.1810.385
Observations for all male full-time workers174,870113,651
Observations for male workers working >52 h/week34,32214,212
Observations for all male full-time workers*20,69913,103
Observations for male workers working >52 h/week*1,914901

Notes:

* These variables are drawn from the August surveys.

Sources: The EAP Survey.

EAP, economically active population.

Figure 2

Trends in actual hours worked.

Notes: The new work hour restriction was passed on February 28, 2018 and first implemented on July 1, 2018. (A) Male workers between the ages of 25 and 55, who worked more than 34 h in the reference week in industries where the new restriction was enforced in all subsectors in July 2018. (B) Male workers between the ages of 25 and 55, who worked more than 34 h in the reference week in industries either where the new work hour restriction was enforced in July 2019 or where it was enforced in some subsectors in July 2018 and in the other subsectors in July 2019. (C) Male workers between the ages of 25 and 55, who worked more than 34 h in the reference week in industries where the new restriction was enforced in some subsectors in July 2019 but it would not be compulsory in the other subsectors due to the legal position of special case.

Table 2

Summary statistics for policy intensity

Min1st Quartile2nd Quartile3rd QuartileMaxMeanSD
0.0090.1350.1920.2410.8620.2000.099
Proportion of workers working >52 h19.63%
Observations174,870

[i] Sources: The EAP Survey.

[ii] EAP, economically active population.

Table 3

Individual-level estimation results

(1)(2)(3)(4)(5)(6)(7)
Actual hoursUsual hoursLog monthly earningsLog hourly wagesUsual hoursLog monthly earningsLog hourly wages
Treatment effect−4.242*** (1.233)−4.334*** (0.987)0.068 (0.054)0.142** (0.061)−4.566*** (0.973)0.085* (0.050)0.169*** (0.054)
Basic controlsXXXXXXX
Additional controlsXXX
Observations288,52133,80233,80233,80233,02433,02433,024
R-squared0.1150.1470.4950.5000.1600.5250.541

Notes: Standard errors in parentheses are clustered at the industry-occupation-education group level. Estimation for actual hours uses monthly data while estimation for the other outcome variables uses annual data. Basic controls include age, age squared and dummy variables for marital status, fixed-term contract, status in employment, and establishment size. Additional controls include dummy variables for all the additional job characteristics described in Table 1.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 4

Group-level estimation results

A. All Workers
(1)(2)(3)(4)
Log total work hoursLog total employmentLog total worker payLog total worker pay
Treatment effect−0.143 (0.107)−0.083 (0.110)−0.135 (0.261)−0.137 (0.249)
Basic controlsXXXX
Additional controlsX
R-squared0.1870.0770.2670.320
B. Full-time Workers
(1)(2)(3)(4)
Log total work hoursLog total employmentLog total worker payLog total worker pay
Treatment effect−0.151 (0.111)−0.077 (0.116)−0.203 (0.267)−0.185 (0.279)
Basic controlsXXXX
Additional controlsX
R-squared0.4110.3700.2480.292
Number of groups119119115115
Observations5,2365,236575575

Notes: Standard errors in parentheses are clustered at the industry-occupation-education group level. Estimation for total work hours and total employment uses monthly data while estimation total worker pay uses annual data. Basic controls include the average age, the average age squared and dummy variables for marital status, fixed-term contract, status in employment, and establishment size. Additional controls include dummy variables for all the additional job characteristics described in Table 1.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Figure 3

Individual-level event-study estimates.

Notes: The new work hour restriction was passed on February 28, 2018 and was first implemented on July 1, 2018. (A) Male workers between the ages of 25 and 55, who worked more than 34 h in the reference week, in all industries and establishment sizes subject to the new restriction. (B) Male workers between the ages of 25 and 55, who usually worked more than 34 h/week in all industries and establishment sizes subject to the new restriction. (C) Male workers between the ages of 25 and 55, who usually worked more than 34 h/week as salaried or hourly employees in all industries and establishment sizes subject to the new restriction. (D) Male workers between the ages of 25 and 55, who usually worked more than 34 h/week as salaried or hourly employees in all industries and establishment sizes subject to the new restriction.

Figure 4

Group-level event-study estimates.

Notes: The new work hour restriction was passed on February 28, 2018 and was first implemented on July 1, 2018. (A) Total work hours are the sum of actual hours worked of all male workers between the ages of 25 and 55 who worked at least an hour in the reference week in all industries and establishment sizes subject to the new restriction. (B) Total work hours are the sum of actual hours worked of all male workers between the ages of 25 and 55 who worked more than 34 h in the reference week in all industries and establishment sizes subject to the new restriction. (C) Total employment is the number of all male workers between the ages of 25 and 55 who worked at least an hour in the reference week in all industries and establishment sizes subject to the new restriction. (D) Total employment is the number of all male workers between the ages of 25 and 55 who worked more than 34 h in the reference week in all industries and establishment sizes subject to the new restriction. (E) Total worker pay is the sum of monthly earnings of all male workers between the ages of 25 and 55 who usually worked at least an hour per week in all industries and establishment sizes subject to the new restriction. (F) Total worker pay is the sum of monthly earnings of all male workers between the ages of 25 and 55 who usually worked more than 34 h/week in all industries and establishment sizes subject to the new restriction.

Table 5

Pre-trend tests for individual-level outcomes

(1)(2)(3)(4)(5)(6)(7)
Actual hoursUsual hoursLog monthly earningsLog hourly wagesUsual hoursLog monthly earningsLog hourly wages
Treatment effect−1.092 (0.985)−0.588 (1.742)0.038 (0.484)0.044 (0.061)−0.513 (1.726)0.038 (0.470)0.045 (0.596)
Basic controlsXXXXXXX
Additional controlsXXX
Observations146,58320,69920,69920,69920,69920,69920,699
R-squared0.1050.1590.5060.5120.1740.5420.557

Notes: Standard errors in parentheses are clustered at the industry-occupation-education group level. Estimation for actual hours uses monthly data while estimation for the other outcome variables uses annual data. Pre-trend tests re-estimate Eqs (1) and (2) with the monthly data restricted to January 2016 to February 2017 and the annual data restricted to August 2015 to August 2017. Postmt is defined as 0 from January 2016 to February 2017 (from August 2015 to August 2016), and 1 from July 2017 to February 2018 (August 2017). Basic controls include age, age squared and dummy variables for marital status, fixed-term contract, status in employment, and establishment size. Additional controls include dummy variables for all the additional job characteristics described in Table 1.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 6

Pre-trend tests for group-level outcomes

A. All workers
(1)(2)(3)(4)
Log total work hoursLog total employmentLog total worker payLog total worker pay
Treatment effect0.006 (0.100)0.054 (0.099)−0.026 0.2750.064 (0.231)
Basic controlsXXXX
Additional controlsX
R-squared0.1830.0810.3060.448
B. Full-time workers
(1)(2)(3)(4)
Log total work hoursLog total employmentLog total worker payLog total worker pay
Treatment effect0.032 (0.099)0.060 (0.095)0.001 (0.289)0.074 (0.250)
Basic controlsXXXX
Additional controlsX
R-squared0.4580.4250.2800.438
Number of groups119119115115
Observations2,6182,618345575

Notes: Standard errors in parentheses are clustered at the industry-occupation-education group level. Estimation for total work hours and total employment uses monthly data while estimation total worker pay uses annual data. Pre-trend tests re-estimate the Eq. (3) with the monthly data restricted to January 2016 to February 2017 and the annual data restricted to August 2015 to August 2017. Postmt is defined as 0 from January 2016 to February 2017 (August 2015 to August 2016), and 1 from July 2017 to February 2018 (August 2017). Basic controls include the average age, the average age squared and dummy variables for marital status, fixed-term contract, status in employment, and establishment size. Additional controls include dummy variables for all the additional job characteristics described in Table 1.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Language: English
Accepted on: Jul 7, 2022
Published on: Sep 13, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
JEL:

© 2022 Jieun Lee, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.