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Appendix: Technical notes
Exhibit A6
In your work life, how
satisfied are you with
1
United States
EU-15
Traditional
by choice
Mean
rating
2
Independent
Difference
from traditional
3
Traditional
by choice
Mean rating
2
Independent
Difference from traditional
3
Free
agents
Casual
earners
Free
agents
Casual
earners
The topics/activities you
are working on
+0.11
-0.03
+0.44
+0.05
Overall work life
+0.25
+0.04
+0.33
-0.01
The number of hours
you work
+0.03
+0.07
+0.40
+0.07
Independence in your
work life
+0.37
+0.14
+0.70
+0.15
The atmosphere at your
workplace
+0.44
+0.14
+0.51
+0.16
Your boss
+0.39
+0.14
+0.63
+0.15
Your level of
empowerment
+0.28
+0.04
+0.67
+0.07
The creativity you can
express at work
+0.29
-0.03
+0.62
+0.05
Your income security
-0.09
-0.03
-0.09
-0.17
Your benefits (e.g.,
health care)
-0.06
-0.03
+0.08
-0.06
Your ability to choose
your working hours
+0.54
+0.23
+0.87
+0.34
Your opportunities to
learn, grow, and develop
+0.28
+0.06
+0.57
+0.15
Flexibility regarding
where you work
+0.50
+0.17
+0.92
+0.26
Recognition
you receive
+0.27
+0.01
+0.60
+0.21
Your level of income
+0.07
-0.00
+0.27
+0.01
4.39
4.30
4.47
4.58
4.53
4.64
4.70
4.70
4.64
4.35
4.38
4.47
4.42
4.05
4.27
4.08
4.37
4.31
4.48
3.95
4.19
4.16
4.27
3.97
4.31
4.19
4.04
4.13
4.38
4.50
Independent workers by choice are more satisfied than traditional workers by choice,
but those who are independent out of necessity are less satisfied on several dimensions
SOURCE: McKinsey Global Institute survey; McKinsey Global Institute analysis
1 Question asked: “How satisfied are you with your current overall work-life? (Select from a 6-point scale.)” “In your work life, how satisfied are you with
[attribute listed]? (Select from a 6-point scale.)”
2 Weighted average of satisfaction scale: 6 = completely satisfied, 5 = mostly satisfied, ..., 1 = completely dissatisfied;
3 Free agents and casual earners are compared to traditional workers by choice, independent by necessity to traditional by necessity.
NOTE: Difference in raw averages is reported even in cases where it is not statistically significant.
Responses from MGI Survey
Satisfaction
Lower
Higher
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McKinsey Global Institute
Appendix: Technical notes
While the average overall satisfaction among free agents is significantly higher than
among workers who are traditional by choice (Exhibit A8, column 1), it is not necessarily
obvious whether this effect should be attributed to independence
or whether it is driven by
other factors. Demographics, in particular, could have an impact on this result given that
the demographic mix differs between traditional and independent workers as we have
described in Chapter 2. In order to verify the positive impact of independence, we tested the
results through a multiple regression
analysis controlling for age, household income, and the
country of the respondent. As column 2 in Exhibit A8 confirms, the findings are robust, and
the high satisfaction observed among free agents is not simply an outcome of, for example,
higher average household income. Moreover, the negative impact
of being an independent
worker out of necessity shrank once we controlled for the variables listed above. This
suggests that some of the lower satisfaction observed among the reluctant and financially
strapped independent workers can be attributed, for instance, to the fact that they skew
toward lower-income households. Notably, this is not the case among workers who are
traditional out of necessity. In their case, the regression coefficient
stays the same whether
we include the control variables or not. Overall, the regression results support the finding
that independence itself is an important factor impacting a given worker’s satisfaction with
their work life.
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McKinsey Global Institute
Independent work: Choice, necessity, and the gig economy
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