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Working Hours and Life Satisfaction: A Cross-Cultural Comparison of Latin America and the United States

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Abstract

This paper compares the life satisfaction and working hours of Latin Americans and U.S. Americans using the AmericasBarometer and General Social Survey. While there are many common determinants of happiness, hours worked is not among them. Differences in cultural values, especially the distinction between collectivism (familism) and individualism that has long been a foundation of social development theory, may be why married Latin American males are less happy than married U.S. American males when working longer hours. The distinction is not apparent among females or the unmarried.

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Notes

  1. Most studies use the term “happiness” interchangeably with the term “subjective well-being.” For a detailed review of these definitions see Easterlin (2003).

  2. Research was initiated in economics in the mid-1970’s by Easterlin, c.f. Easterlin (1974, 1995, 2003).

  3. Appendix 1 contains the Hofstede individualism ratings for the United States, Australia, United Kingdom, and Latin American countries.

  4. For a detailed study of culture and well-being see the collected works of Diener (2009, (2012)

  5. Working hours is a choice variable. Thus, it is important to acknowledge that it might be affected by unobservable factors such as personality traits that also are important determinants of subjective well-being.

  6. For a detailed overview of the ordinal regression model using a latent variable see Long and Freese (2006). OLS results are included in Appendix 4 for comparison, as several recent studies have shown ordered logit and OLS to be comparable (Ferrer-i Carbonell and Frijters 2004; Van Praag and Ferrer-i Carbonell 2004).

  7. For a list of Latin American countries and U.S. regions refer to Appendices 2 and 3.

  8. The LAPOP Survey for the United States lacked the working hours question, thus the use of the GSS instead. Also, these years were selected so that Latin Americans and U.S. Americans were surveyed at approximately the same time.

  9. Due to inherent limitations of the survey wording, we also use life satisfaction and happiness interchangeably as they are highly correlated.

  10. Marriage and religious affiliation are important sources of social capital. Social capital refers to the social networks within a community, including bonding among individuals through social ties and relationships. It provides individuals with a “sense of belonging.” C.f. Fukuyama (1999), Putnam (2001).

  11. Myers (2000) also argues that four inner traits mark happy people: high self-esteem, a sense of personal control, optimism, and extroversion. These trait-happiness correlations are not yet fully understood and findings inherently suffer from causality problems. Some traits may predispose to happiness, while happiness might also be a contributing cause, but they point to a rationale for culture-specific sources of happiness. Each is greatest when achievements are consistent with the social paradigm.

  12. Some studies also include friendship given that close relationships with friends contribute to life satisfaction, providing people with a supportive network (Myers 2000). Unfortunately, the LAPOP dataset did not contain questions on friendship.

  13. Marriage seems to provide protection against depression and mental ill-health which can impact life satisfaction (Cochrane 1996).

  14. An interesting question is whether the determinants of happiness in Latin America will change as Catholicism weakens its influence (Paulson 2014).

  15. One study, examining Weber’s theory of Protestantism and capitalism, suggests that Protestantism was associated with economic affluence not because of any difference in work ethic, but rather because it furthered the creation of social capital by ensuing literacy (Becker and Woessmann 2007). Rather than relying on injunctions set by the Catholic Church, Luther favored universal schooling and believed people needed to be literate to be able to read the Bible for themselves, in their own language. Thus, Protestants acquired more schooling than Catholics and as a side effect schooling transformed into economic prosperity.

  16. Given that the dataset is a cross-sectional survey based on subjective assessments, selection bias and unobserved variable bias can be potential limitations to the analysis. Different controls were used in separate models and the relationship is robust: in all models Latin Americans are less happy than U.S. Americans when working longer hours.

  17. Research involving Latin American countries is scarce and still a fairly new endeavor. Graham and Pettinato (2001) were the first to analyze happiness in that region. None of the few other Latin American studies considers the working hours-happiness relationship (Ateca-Amestoy et al. 2014; Graham and Felton 2006; Lora 2008; Rojas 2006)

  18. The relationship is not necessarily causal for two main reasons: data is cross-sectional, and it is not entirely clear what the direction of causality is. In this case, however, it seems more reasonable to conclude that working less makes Latin Americans happier than U.S. Americans, as opposed to the alternative explanation that happier Latin Americans work less than U.S. Americans.

  19. When taking into account several dimensions of happiness combined, typically studies have found that Scandinavian countries are the happiest (Helliwell et al. 2012)

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Acknowledgments

We would like to thank the Latin American Public Opinion Project (LAPOP) and its major supporters (the United States Agency for International Development, the United Nations Development Program, the Inter-American Development Bank, and Vanderbilt University) for making the data available. We would also like to thank the anonymous reviewers for their valuable insights and comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rubia R. Valente.

Appendices

Appendix 1: Sample Details

See Tables 7, 8, 9, 10, 11 and 12 and Fig. 5.

Table 7 Data sets
Table 8 Descriptive statistics—U.S. and Latin American combined
Table 9 Descriptive statistics—U.S. Americans
Table 10 Descriptive statistics—Latin Americans
Table 11 Scores on Hofstede’s individualism dimension
Table 12 Working hours categories
Fig. 5
figure 5

Working hours in the United States and Latin America. a U.S. Americans, b Latin Americans

Appendix 2: Latin American Countries

Country

Freq.

Per.

Val. Per.

Cum. Per.

Mexico

1559

4.21

5.49

5.49

Guatemala

1538

4.16

5.41

10.90

El Salvador

1549

4.19

5.45

16.35

Honduras

1522

4.11

5.36

21.71

Nicaragua

1540

4.16

5.42

27.13

Costa Rica

1500

4.05

5.28

32.40

Panama

1536

4.15

5.41

37.81

Ecuador

3000

8.11

10.56

48.37

Bolivia

2990

8.08

10.52

58.89

Peru

1500

4.05

5.28

64.17

Paraguay

1166

3.15

4.10

68.27

Chile

1527

4.13

5.37

73.65

Uruguay

1500

4.05

5.28

78.92

Brazil

1496

4.04

5.26

84.19

Venezuela

1500

4.05

5.28

89.47

Argentina

1486

4.02

5.23

94.70

Dominic Republic

1507

4.07

5.30

100.00

Total

28,416

76.81

100.00

 

Missing

8577

23.19

  

Total

36,993

100.00

  
  1. Americabarometer: 2008

Appendix 3: American Regions

Region

Freq.

Per.

Val. Per.

Cum. Per.

New England

320

0.86

3.73

3.73

Middle Atlantic

1084

2.93

12.64

16.37

E. Nor. Central

1468

3.97

17.12

33.48

W. Nor. central

513

1.39

5.98

39.47

South Atlantic

1892

5.11

22.06

61.53

E. Sou. Central

482

1.30

5.62

67.14

W. Sou. Central

908

2.45

10.59

77.73

Mountain

662

1.79

7.72

85.45

Pacific

1248

3.37

14.55

100.00

Total

8577

23.19

100.00

 

Missing .

28,416

76.81

  

Total

36,993

100.00

  
  1. GSS: 2006, 2008, 2010

Appendix 4: OLS Regressions of Happiness

Variable

W1

W2

W3

W4

Working hours cat * Latin

−0.024***

   

(0.007)

   

Working hours cat

0.018**

   

(0.006)

   

Latin

0.434***

0.423***

0.370***

0.319***

(0.050)

(0.053)

(0.042)

(0.042)

Income

0.043***

0.043***

0.043***

0.043***

(0.004)

(0.004)

(0.004)

(0.004)

Nonwhite

−0.027*

−0.028*

−0.026*

−0.028*

(0.013)

(0.013)

(0.013)

(0.013)

Married

0.129***

0.128***

0.128***

0.128***

(0.012)

(0.012)

(0.012)

(0.012)

Age

−0.014***

−0.014***

−0.014***

−0.014***

(0.002)

(0.002)

(0.002)

(0.002)

Age2

0.000***

0.000***

0.000***

0.000***

(0.000)

(0.000)

(0.000)

(0.000)

Female

0.001

0.001

0.002

−0.000

(0.011)

(0.011)

(0.011)

(0.011)

Education

0.010***

0.010***

0.010***

0.010***

(0.001)

(0.001)

(0.001)

(0.001)

Attend religious service

0.040***

0.040***

0.040***

0.040***

(0.004)

(0.004)

(0.004)

(0.004)

Working hours * Latin

 

−0.002**

  
 

(0.001)

  

Working hours

 

0.002*

  
 

(0.001)

  

More than 40 h * Latin

  

−0.082***

 
  

(0.024)

 

More than 40 h

  

0.065**

 
  

(0.020)

 

Less than 40 h * Latin

   

0.056*

   

(0.027)

Less than 40 h

   

−0.043

   

(0.023)

_cons

1.813***

1.817***

1.858***

1.896***

(0.062)

(0.064)

(0.059)

(0.060)

N

15,891

15,891

15,891

15,891

R-sq

0.083

0.082

0.083

0.082

  1. * \(p<0.05\); ** \(p<0.01\); *** \(p<0.001\)

Appendix 5: Robustness Tests—Additional OLR of Happiness

See Tables 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 and 26.

Table 13 Ordered logistic regressions of happiness: W1—odds ratio reported
Table 14 Ordered logistic regressions of happiness: W2—odds ratio reported
Table 15 Ordered logistic regressions of happiness: W3—odds ratio reported
Table 16 Ordered logistic regressions of happiness: W4—odds ratio reported
Table 17 Ordered logistic regressions of happiness by survey: odds ratio reported
Table 18 Additional controls of variables not comparable across datasets: survey questions
Table 19 GSS: health
Table 20 GSS: employed
Table 21 LAPOP: employed
Table 22 GSS: occupation
Table 23 LAPOP: occupation
Table 24 Ordered logistic regressions of happiness by survey: health (odds ratio reported)
Table 25 Ordered logistic regressions of happiness by survey: employed (odds ratio reported)
Table 26 Ordered logistic regressions of happiness by survey: occupation (odds ratio reported)

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Valente, R.R., Berry, B.J.L. Working Hours and Life Satisfaction: A Cross-Cultural Comparison of Latin America and the United States. J Happiness Stud 17, 1173–1204 (2016). https://doi.org/10.1007/s10902-015-9637-5

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