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Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 [email protected] (with Barbara Wiens-Tuers, Associate Professor of Economics, Penn State University, Altoona College) Acknowledgements: Alfred P. Sloan Foundation, Workplace, Workforce and Working Families Program Grant #B-2004-32, Bill Stull and David Pate on previous drafts. Overtime Labor: Overtime Labor: Consequences for Worker Well Consequences for Worker Well Being and Determinants at Work Being and Determinants at Work

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Page 1: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Lonnie Golden

Associate Professor of Economics and Labor Studies

Penn State University, Abington College

1600 Woodland Rd.

Abington, PA 19001

[email protected]

(with Barbara Wiens-Tuers, Associate Professor of Economics, Penn State University, Altoona College)

Acknowledgements:

Alfred P. Sloan Foundation, Workplace, Workforce and Working Families Program Grant #B-2004-32, Bill Stull and David Pate on previous drafts.

Overtime Labor: Overtime Labor: Consequences for Worker Well Being Consequences for Worker Well Being

and Determinants at Workand Determinants at Work

Page 2: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

OUTLINEI. Motivations:

Theoretical: economic models of labor supply to consider case of mandatory overtime (OT) work as subset of “overemployment”;

Empirical: Use unique survey questions from a recent General Social Survey (GSS) for a rare peer inside the black box of “welfare”—specific well-being effects associated with extra hours of labor supply, in particular when such work is required by an employer rather than strictly voluntary;

II. Document Net Consequences of OT work, with Multinomial Logistic Estimations contrasting effects of:Required/Mandatory OT (MOT) vs. Not Required OT;OT vs. No OT work,on various Outcomes: Stress/Fatigue, Work-Family Conflict, Mental Health

III. Identify Workplace and Labor Market characteristics associated with MOT.

IV. Conclusions & Implications for Research and Policy

Page 3: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Literatures Integrated Constrained Labor Supply

Determination of Work Hours via interaction of demand-side constraints and incentives with individual and household optimizing choices;

Occupational Health and Safety Psychological and physical consequences of choices and constraints;

Economics of Happiness and Well Being Complex relationship between income, work hours, working conditions

and satisfaction levels;

Work-Life-Family Integration Balance, Conflict, Interference, Boundaries, etc.

Work Organization High Performance Workplace, Labor Relations

Page 4: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Conventional Labor Supply Model of Suboptimal Utility with Overemployment—Unpreferred oversupply of some hours of labor

Leisure

Income/day

240

• If an individual is free to choose the number of hours of work, s/he chooses point U1, with 17 hours of leisure and 7 hours of work…

H

N

Y

U1

• If the individual is constrained to work a standard workday of 9 hours or none at all, s/he will choose point U2, lower than optimal utility level, overemployed by 2 hours per day.

U2

15 17

Page 5: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Worker Welfare (Utility) Function: Amended to consider the independent impact of flexibility in work hours and scheduling, to the extent it contributes to control over the timing of work hours, a valued tool to ease transitions between

leisure (L), household production (P). U = f (Y; L; P; ). utility is positive in the degree of flexibility in

scheduling () (= negative in the degree of inflexibility) to the extent this would ease transitions and facilitate coordination of work, household (P) and leisure (L) activities. If absence of hours autonomy is unaccompanied by

compensating wage (higher Y) or more non-work time, then utility is reduced.

Page 6: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

A firm providing more flexibility in work timing can induce workers to accept lower compensation, while firms offering inflexible work conditions such as mandatory overtime (MOT) should be offering a compensating differential (higher wage)

Income/day

240

H (hours per day)

N

Y1 (at W1)

U1

15 17

Y2 (at W2)

U2

16

A worker may be no better off at U2, with shorter (e.g.,7) hours and an inflexible schedule, than at point U1, with longer (e.g., 9) although uncompensated hours that comes with a flexible schedule, even if the longer hours are greater than their preferred hours

Page 7: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Previous Survey Findings re: Extent of Mandatory OT: • Work in America Institute, 2003:

• 19% of unionized and 15% of non-union workers “work overtime that cannot be refused without facing penalty.”

Cornell University Institute for Workplace Studies, 1999: 18% of workers in sample worked overtime due to supervisory

pressure (#3 reason for OT work after financial strain and job insecurity).

Appelbaum and Berg, 1999: Among production workers, 2.34 on a scale of 1-4 were

“required to work overtime when you don’t want to.” Idson & Robbins, 1991:

16% of workers had both a penalty suffered if they refused OT work and hours of work determined primarily by their employer.

Despite this prevalence—little info re: the workplace or labor market conditions that produce it and its observable

consequences on indicators of worker well being—happiness, satisfaction, health, etc.

Page 8: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

GSS’s key, unique question: Workers who responded “one or more days” to the

question, “How many days in a month during the last year did you work beyond your usual schedule?” were then asked,

“When you work overtime, is it mandatory (required by your employer)?”

Those who affirmed that they worked extra hours and answered yes to the question that overtime is mandatory, are then separated from workers with extra hours where the overtime is not mandatory, and from workers with no extra hours at all.

Page 9: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 1: General Social Survey 2002, Quality of Work Module, Basic Descriptive InformationNumber Mandatory

OvertimePercent Facing

Mandatory OvertimeMandatory

Overtime and Worked Extra

Hours

Percent MandatoryOvertime andExtra Hours

Full Sample 2765 461 17.7% 342 -

Labor Force 1917 461 24.1 342 17.8

Employed 1796 461 25.7 342 19.419.4

Full-time 1744 396 27.7 301 21.121.1

Part-time 312 50 16.0 41 9.1

Number of hours worked last week (mean)

Mandatory Overtime(n=461)

No Mandatory Overtime(n=1293)

All Employed Workers(n=1796)

Full-time 47.6 45.3 45.9

Part-time 23.3 22.7 22.6

Worked beyond usual schedule over the last year

75.4% ** 57.0% 66.3%

Number of days per month (mean)

7.1 4.9 5.5

**Difference between mandatory overtime and no mandatory overtime is significant at ρ < 0.05

Page 10: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Hypotheses: Distribution of Mandatory and non-mandatory OT work

varies by: Employees’ demographic characteristics; Employees’ job characteristics. Individuals’ capacity to absorb OT and unanticipated

work Effects of OT and MOT Work on workers involves tradeoffs:

more income (current or expected future) for less non-work (leisure and household production and reproduction) time and/or less control over timing of work and non-work hours. Incentives and rewards may offset risks to welfare.

Hours of both OT and MOT work, and lack of control over work hours, have separate, and thus additive or opposing effects on well being, relative to no OT work.

Page 11: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 2: Selected Demographics by Type of Overtime, 2002 GSS  Extra

Hours: MOT

Extra Hours: Not MOT

Extra Hours: All

No Extra Hours

All Employed

  n=342 n=733 n=1075 n=677 n=1787

         

Age in years (mean)          

  40.6 40 40.2 42.8 41.2

Distribution by gender (%)          

Male 57.0† 51 52.9** 42.4 48.6

Female 43 49 47.1 57.2 51.4

Distribution by race (%)          

White (may or may not be Hispanic) 77.5† 81 79.9* 76.2 78.3

Black 14 12.9 13.3* 16.4 14.6

Hispanic 8.5 6.7 8.1 9.4 8.1

Distribution by education (%)          

Less than high school 9.4† 7.2 7.9** 12.6 9.8

High school graduate 53.2 49.7 50.8** 58.9 53.7

Associates 9.7 8.9 9.1 8.3 8.9

Bachelor 18.7 22.2 21.2** 14.2 18.4

Graduate degree 9.1† 12 11.1** 6.1 9.2

* Difference between All Extra Hours and No Extra Hours is significant at ρ < 0.10** Difference between All Extra Hours and No Extra Hours is significant at ρ < 0.05† Difference between Extra Hours: MOT and Extra Hours: Not MOT is significant at ρ < 0.10†† Difference between Extra Hours: MOT and Extra Hours: Not MOT is significant at ρ < 0.05

Page 12: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Key Work/Home Life Outcomes “How often do the demands of your job interfere with your family life?” the order of the responses is (1) often,

(2) sometimes, (3) rarely, and (4) never. How hard it is to “take time off to take

care of personal or family matters.” responses are (1) very hard, (2)

somewhat hard, (3) not too hard.

Page 13: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Key Stress/Fatigue Outcomes STRESS: How often do you find your work

stressful? USEDUP: How often during the past month have

you felt used up at the end of the day? TIREDHME: How often in the last three months

have you come home from work too tired to do the chores that need to be done?

HRSRELAX: After an average work day, about how many hours do you have to relax or pursue activities that you enjoy

Range of responses: Always/Very often; Often; Several times a month/week; Rarely; Never;

Page 14: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Extra Hours: MOTn=342

Extra Hours: Not MOT

n=733

Extra Hours: Alln=1075

No Extra Hoursn=677

All Employedn=1787

How often do demands of job interfere with family life? (%)

Often 23.4†† 12.1 15.7** 8.0 12.9

Sometimes 31.6 31.1 31.3** 19.2 26.3

Rarely/Never 45.0†† 56.8 53.0** 72.8 59.9

How hard is it to take time off during your work to take care of personal or family

matters?

Not at all hard 33.3†† 49.4 44.3** 50.9 46.5

Not too hard 27.5 27.3 27.4 26.6 26.8

Somewhat hard 21.9†† 13.9 16.5 13.6 15.1

Very hard 17.3†† 9.4 11.9* 8.3 10.5

How often during past 30 days felt used up at end of day?

Very often/often 47.1 45.3 45.9** 36.4 41.8

Sometimes 35.1 34.7 34.8 32.1 33.4

Rarely/never 17.8 19.7 19.2** 31.1 23.7

Table 4: Descriptive Comparison of Home/Family Related and Stress/Fatigue Outcomes by Type of Overtime Work

Page 15: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Continued…How often is work stressful?

Always/often 38.6† 34.5 35.8** 22.8 30.7Sometimes 42.4 45.6 44.8** 39.7 42.Hardly ever/never 18.7 19.7 19.5** 37.4 26.1

Come home from work too tired to do chores to be done (%)

Several times a week 28.6 30.9 30.1* 24.4 28.Several times a month 30.5†† 21.7 24.7 23.7 24.4Once or twice/never 39.6† 46.4 44.1 48.8 45.4

On an average work day, how many hours do you have to relax or pursue activities you enjoy?

• Mean number of hours (SD) 3.5 (2.5) 3.6 (2.4) 3.5 (2.6) 4.2 (3.5) 3.8 (2.9)

During the past 30 days, for how many days did your poor physical or mental health keep you from doing you usual activities such as work, self-care or recreation?

• Mean number of days (SD) 1.7 (5.2) 1.3 (4.0) 1.6 (5.1) 1.4 (4.4) 1.5 (4.7)• Zero days (%) 75.4 77.2 76.6 80.9 78.3

Fatigue effects apparent, but not Healthiness

Page 16: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 5: Descriptive Analysis: Economic Satisfaction OutcomesExtra Hours:

MOTn=342

Extra Hours: Not MOT

n=733

Extra Hours: Alln=1075

No Extra Hoursn=677

All Employedn=1787

Satisfaction with present financial situation (%)

(n=169) (n=376) (n=545) (n=335) (n=897)

Pretty well satisfied 30.2 31.1 30.8 30.5 30.6

More of less satisfied 42.6 46.0 45.0 42.7 43.9

Not satisfied at all 27.2† 22.9 24.2* 26.6 25.4

During past few years, has financial situation changed? (%)

(n=169) (n=376) (n=545) (n=335) (n=897)

Getting better 56.2 56.4 56.3** 45.4 52.2

Getting worse 18.9† 14.1 15.6 17.9 16.7

Stayed the same 24.9 29.5 28.1** 36.7 31.1

How does your income compare to other American families? (%)

(n=169) (n=376) (n=545) (n=335) (n=897)

Far below/ below average 26.7† 20.8 22.6** 34.1 26.8

Average 50.3 52.4 51.7* 46.9 49.7

Above/far above average 23.1 26.8 25.8** 18.8 23.2

Fringe benefits okay? (%)

Very/somewhat true 73.7† 77.6 76.4** 61.5 69.9

Not too/not true at all 26.0† 22.2 23.4** 38.0 28.8

If your job goes well are you likely to get a bonus or extra pay? (%)

Yes 23.1† 27.6 26.1** 21.7 24.1

Maybe 10.8†† 15.6 14.1 14.3 13.9

No 65.5†† 55.9 59.9** 63.5 60.3

Page 17: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Estimation Models: Multinomial logistic regression models are applied

here. The model estimating the true frequency of an outcome is given by:

Oj= β1overtimej + β2X2j + uj

The dependent variable Oj is one of the selected outcomes reported as ordered categories.

The independent variables are the type of overtime and a vector of control variables (X) including male, married, age and age squared, and whether or not the job is a ‘standard’ employment arrangement

N = 1,769 total employed

Page 18: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Conclusions: Required OT work exists for a non-negligible %, 1 in 4 of

the employed, lengthening by 2 hours their average hours. Extra work hours is associated with greater (in

order): Interference of job demands with family life; Stressfulness of work; Difficulty in taking time off during your work to take care of

personal or family matters; Feeling used up at end of day; too tired to do chores that need to be done. OT work does not statistically significantly reduce hours of

leisure (relaxing) or health (subjective self report).

Page 19: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Mandatory Overtime work has additive, adverse welfare effects (in order of strength): Interference of job with family life;

Difficulty taking off time for personal/family matters; Too tired to do chores; Stress from work.

No add-on effects on feeling used up, relaxation time or reported health.

Page 20: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

OT work and economic satisfaction OT work is rewarded, with greater extra pay or $bonuses (more for non-mandatory than mandatory OT, however).

This leads to greater satisfaction among non-mandatory OT workers, but not among mandatory OT workers.

Thus, mandatory nature of some OT does not appear to be “compensated” with either time or money.

Page 21: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Employment, Job and Workplace Characteristics: Hypotheses:

Incidence of Mandatory OT work depends on: Employees’ demographic characteristics; Employees’ job characteristics. Industrial relations and work organization context

such as flexibility of the workplace; Incentives and rewards to offset welfare risk.

Page 22: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 3: Incidence and Distribution of Industry Classifications by Type of Overtime

  Incidence   Distribution    

Industry Extra Hours: MOT (%)

Extra Hours: MOT

Extra Hours: Not MOT

No extra hours

All Employed

Agriculture, forestry, fisheries 32 2.3 0.7 1.6 1.4

Mining 60 0.9 0.14 0.2 0.3

Construction 21.1 7 7.4 5.2 6.4

Manufacturing-nondurables 24.8 9.1 6.1 6.9 7

Manufacturing-durables 16.2 5 6.6 5.5 5.9

Transportation, communications, public utilities

23.1 9.9 8.1 7.8 8.2

Wholesale trade 21 3.8 3.6 3.3 3.5

Retail trade 16.7 12.6 13.6 16.4 14.4

FIRE 13.3 4.1 6.8 5.6 5.9

Business and repair services 19.4 7 6.7 6.8 6.9

Personal services 11.3 2.3 3.4 5.6 3.9

Entertainment, recreation services

14.6 1.8 2.3 2.5 2.3

Professional services 17.3 24.3 29.5 25.3 26.9

Public Administration 27 9.9 5.2 7.4 7.1

Page 23: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 4: Distribution and Incidence of Occupations by Type of Overtime   Incidence   Distribution    

  Extra Hours: MOT(%)

Extra Hours: MOT

Extra Hours: Not MOT

NO extra hours

All Employed

OCCUPATION

Executive, administrative, managerial 20.6 17 17.7 12.6 15.7

Professional specialty 16.8 15.5 21.2 14.6 17.6

Technicians and related support 21.1 4.7 5.6 2.7 4.3

Sales 12.2 7 12.4 11.1 11

Administrative support 16.4 10.8 10 16.7 12.7

Service 20 15.8 12.8 17.3 15.1

Farming, fishing, forestry 31 2.6 1 1.9 1.6

Mechanics and repairers 25 4.1 4 1.9 3.1

Construction trades 20.3 4.1 4.2 3.6 3.9

Precision production 27.1 3.8 2.5 2.4 2.7

Machine operators, assemblers, inspectors

22.5 5.3 3.7 5 4.5

Transportation 21.3 4.7 2.5 5.9 4.2

Laborers 24.2 4.7 2.6 4.4 3.7

Page 24: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 5: Employment Characteristics by Type of Overtime  Extra

Hours: MOTn=342

Extra Hours:

Not MOTn=733

Extra Hours:

Alln=1075

No Extra Hoursn=677

All Employed

n=1787

Flexible daily schedules          

Often/sometimes 46.5†† 61.4 56.7** 50.4 53.8

Say about what happens on my job          

Strongly agree/agree 70.2†† 80.6 77.3** 64.7 71.9

Normally works as part of a team 60.5 58.4 59.1** 54.2 56.6

Take part in decisions that affect me          

Often/sometimes 81.0† 84.3 83.3** 70.8 77.6

Participate with others to set way job done          

Often/sometimes 84.5 86.6 86.0** 72.8 80.2

Relationship with management          

Very good/quite good 64.4†† 73.4 70.6 70 69.3

Eligible for performance based pay 38.3 39.6   24.8 33.2

Own stock in company (n=248) (n=557) (n=805) (n=537) (n=1369)

Yes 29.4 28.2 28.6 15.3 22.9

Chances for promotion good          

Very true/somewhat true 57.3 59.2 58.6** 47.7 54

Job security good          

Very true/somewhat true 82.2† 87.6 85.9** 82.1 83.6

Threatened or harassed at work in any other way (other than sex, race, gender, age) (%)          

Yes 16.4†† 10.8 9.3* 12.6 11.2

Conditions on job allow me to be as productive as I could be          

Page 25: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Table 6: Incidence of Selected Job Characteristics by Type of Overtime  Extra Hours:

MOTExtra Hours:

Not MOTExtra Hours:

AllNo Extra Hours All Employed

Characteristics of Job n=342 n=733 n=1075 n=677 n=1787

Belong to labor union (n=250) (n=495) (n=745) (n=435) (n=1202)

Yes 13.6 13.3 13.4* 10.8 12.3

Tenure more than 1 year 82.8† 78.4 79.9** 71.8 76.1

Not easy to find job with same pay/benefits 44.7†† 36.6 39.2 40.5 39.2

RESPECT

Strongly Disagree 2.9†† 0.8 1.5 2.2 1.7

Day shift 67.3† 73.5 71.5 69.7 70

Way paid          

Salaried 38.6 41.9 40.8** 23.6 33.8

Hourly 49.1 47.9 48.3** 63.1 53.3

Other 12.3 10.2 10.9 13.2 11.9

Respondent’s income category $25,000-29,000 $25,000-29,000 $25,000-29,000 $20,000-22,000 $22,500-24,999

How satisfied with job          

Very-Somewhat 86.8†† 92 90.3** 86.9 88.2

Not too/not at all 13.2†† 7.9 9.6** 12.9 10.8

Source: 2002 General Social Survey* Difference between All Extra Hours and No Extra Hours is significant at ρ < 0.10** Difference between All Extra Hours and No Extra Hours is significant at ρ < 0.05† Difference between Extra Hours: MOT and Extra Hours: Not MOT is significant at ρ < 0.10†† Difference between Extra Hours: MOT and Extra Hours: Not MOT is significant at ρ < 0.05

Page 26: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Whether an individual in the sample reports working: mandatory overtime (beyond normal hours at least once last month), overtime but not mandatory, or no overtime,

+Y X + = noOTnonMOTMOT iii ,,

Logistic Regressions

is presumed to be dependent on three sets of observable factors. The likelihood of each depends on an individual (i) worker’s:

Personal characteristics () such as age, gender, race, marital and parental status or foreign born.

Income level, of the respondent or his/her family, education level.

Job and employer/organization characteristics (), such as occupation and industry of employment, union membership, hourly vs. salaried status, job tenure and various features of their compensation package and workplace relations between management and labor.

Page 27: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Relevant Variables and Measures in 2002 GSS OVERTIME WORK

MOREDAYS How many days per month do you work extra hours beyond your usual schedule?MUSTWORK When you work extra hours on your main job, is it mandatory (required by your employer)?WKVSFAM How often do the demands of your job interfere with your family life?USEDUP How often during the past month have you felt used up at the end of the day?FAMWKOFF How hard is it to take time off during your work to take care of personal or family mattersTIREDHME How often in the last three months have you come home from work too tired to do the chores that need to be done?STRESS How often do you find your work stressful?HRSRELAX After an average work day, about how many hours do you have to relax or pursue activities that you enjoy?

DEMOGRAPHIC CHARACTERISTICSage Age in yearsage2 Age in years squaredmale Respondent is malenonwhite Respondent is nonwhitemarried Respondent is marriedhsorless Respondent has a high school degree or lessinsmsa Respondent within an SMSA and a large or medium size central city, a suburb of a large city. homeowner Respondent owns or is buying place of residenceforeign Respondent was born in a foreign countrychilds Number of children

FAMILY INCOMEfaminc9999 Family income less than $10,000faminc19999 Family income between $10,000-19,999faminc39999 Family income between $20,000-39,999faminc49999 Family income between $40,000-49,999faminc59999 Family income between $50,000-59,999faminc74999 Family income between $60,000-74,999faminc89999 Family income between $75,000-89,999faminc109999 Family income between $90,000-109,999faminc110000 Family income equal to or greater than $110,000.

Page 28: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

General Social Survey, QWL, 2002Key Empirical Findings

Factors positively associated with working mandatory OT Demographic factors:

Male, but due to occupation and industry Foreign-Born, but due to job factors

Job factors: Job tenure greater than one year More frequent overtime work Not easy to find another job Certain occupations—transportation, precision production (non-

construction), managerial. Certain industries—mining, non-durables manufacturing, public

admin., transportation-utilities-communications, and non-profits. Union, although due to occupation and industry. Involvement in Decision-making

Page 29: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Factors associated with reduced likelihood of working mandatory OT Flexible daily scheduling

Employed in professional services, finance-insurance-real estate industries and in professional specialty, sales and administrative support type jobs

Part-time and shorter standard work hours Good labor-management relations, much say

in job content.

Page 30: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Conclusions: Tradeoffs from working mandatory OT

Mandatory OT work is associated with lack of control over job content and scheduling and poor labor-management environment.

However, working mandatory OT is rewarded, with greater $bonuses, participation in decision-making and increases satisfaction with life through work.

Page 31: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Future Research?

Splits by: Gender, Salaried vs. Hourly Employees Income Level re: well being effects

Disentangle effects: daily schedule flexibility from MOT Incentives vs. coercion Workplace structures vs. job market state

Page 32: Lonnie Golden Associate Professor of Economics and Labor Studies Penn State University, Abington College 1600 Woodland Rd. Abington, PA 19001 lmg5@psu.edu

Potential Policies that would improve living standards by addressing OT work and Mandatory nature of some OT work

Legislation: Right to Refuse Minimum Advance Notification Limiting length and incidence of MOT work, by:

State (Mainly Nurses and Health Care Workers) Federal Legislation (amending Fair Labor Standards Act

Overtime Law and Regulations) Global: Extending the ILO convention principle of prohibiting forced

or compulsory labor, to grant all workers a right to refuse overtime work without suffering the severest penalty in market economies--job loss.