Ì. semih akçomak lex borghans bas ter weel€¦ · sept. 2010 tasks, technology and trade...
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Tasks, technology and trade
Measuring and interpreting trends in the division of labour in the Netherlands
Ì. Semih AkçomakLex BorghansBas ter Weel
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Observations
� Division of labour seems to have changed …
► Blinder: “>25 percent of all jobs offshorable”
► Grossman and Rossi-Hansberg: “trade in tasks”
► Baldwin: “second unbundling”
► Policy makers: “what is the threat of offshoring?”
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Aim
� Measuring and understanding trends in the division of labour
► How does “(un)bundling” work?
► What are the employment effects?
► Who is affected? Is my job safe?
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Approach
� Develop measures to understand changes in division of labour
� Three dimensions and issues
Dimension IssuesOccupation Separate tasks into different jobs
Industry Outsource tasks to other firms
Space Offshore tasks
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Division of labour and tasks
€Y
€Z€X
1-c
1-c1-c
Task 1 Task 2
Task 3
Occupation
€X=€Y=€Z
c≤1
Initial situation
Price (€)Connectivity (c)
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Division of labour and tasks
€Y
€Z€X
1-c
1-c1-c
Task 1 Task 2
Task 3
Occupation
€X=€Y<>€Z0≤c≤1
Price of tasks changes
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Division of labour and tasks
€Y
€Z€X
1-d
1-d1-c
Task 1 Task 2
Task 3
Occupation
€X=€Y=€Z
d<c
Connectedness changes
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Framework
task 1
occupation
Separate? Trade-off Measures
task 2 task 3 tasks…… task n
Production
• task-occupation
connectivity
• task-occupation
wage differential
Coordination
costs vs.
production
costs
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Framework
task 1
occupation
Separate?
firm
Outsource?
Trade-off Measures
• task-industry
connectivity
task 2 task 3 tasks…… task n
task 1 task 2 task 3 tasks…… task n
occupations
Production
• task-occupation
connectivity
• task-occupation
wage differential
Coordination
costs vs.
production
costs
Make vs. buy
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Framework
task 1
occupation
Separate?
firm
Outsource?
country
Offshore?
Trade-off Measures
• task-industry
connectivity
• Occupation-space
connectivity
• Spatial-occupation
concentration
task 2 task 3 tasks…… task n
task 1 task 2 task 3 tasks…… task n
occupations
task 1 task 2 task 3 tasks…… task n
occupations
Production
• task-occupation
connectivity
• task-occupation
wage differential
Coordination
costs vs.
production
costs
Make vs. buy
Proximity vs.
cost advantages
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Data
� Goal► Data set 1996-2005 with education, wages, task
measures, specialisation and offshoring
� Input► Dutch labour force survey 1996-2005
► Tasks from UK (BSS)
► IO industry classification
► Spatial employment information
� Result► occupation-task-year
► industry-task-year
► occupation-space-year
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Task-occupation connectivity
Individial level task dataimportance importance importance importance
person task 1 task 2 …………….. task n
1 0 3 …………….. 4
2 1 1 …………….. 4
3 3 4 …………….. 3
4 4 4 …………….. 2
5 4 2 …………….. 1
6 4 2 …………….. 2
7 3 1 …………….. 1
8 3 3 …………….. 2
9 2 3 …………….. 3
10 2 4 …………….. 4
.
.
.
.n
Obtain correlation
matrix of tasks (n*n
matrix) c
t1 t2 t3 . . tn
t1
t2
t3
.
.
t n
Use the importance
level of each task for
each occupation as
weights (m)
Calculate c*m for each occupation-task
combination (multiply rows by task
importance and sum by occ
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Data set
occupation task
task
importance
1997
task
importance
2006
task-occupation connectivity
basic jobs strength 3,53 3,63 0,065114111 analysing 2,04 2,16 0,291316711 planning 1,79 2,06 0,233993411 writing 1,86 1,88 0,2662569… … … … …… … … … …technical (low) 8 3,32 3,54 0,065729826 18 2,57 3,02 0,297003226 22 2,20 2,50 0,233195426 30 2,02 2,20 0,2673084… … … … …… … … … …econ, admin etc. 8 1,94 2,07 0,041292751 18 3,03 3,46 0,312353951 22 2,61 2,85 0,251124351 30 2,53 3,06 0,2917716… … … … …… … … … …managers 8 2,32 2,03 0,041196798 18 3,77 4,14 0,315472398 22 4,11 3,94 0,252825598 30 3,13 3,36 0,2943714… …… …
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Workers
task 1
occupation
Separate? Trade-off Measure
task 2 task 3 tasks…… task n
Production
• task-occupation
connectivity
• task-occupation
wage differential
Coordination
vs. production
Task-occupation connectivityPresence of task X given presence task Y
Task-occupation wage differentialAbsolute difference between occupation and task wage
ij i jtowd w w= −
33
1
j
ij j j i j
j
toc c m=
=
= ∑
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Connectivity and wage differential
detailpeople
teach
cspeech
persuad
selling
caring
strengtstamina
hands
tools
product
special
orgworkfaults
cause
solutn analyse
noerrormistake
planme
planothmytime
ahead
read
short
long
write
writeshwritelg
calca
percent
stats
-3-2
-10
1
task-o
ccupation c
onnectivity
-1 0 1 2 3 4
task-occupation wage differential
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Contestability
76
62
5696
51
93
75
53
33
6544
48
71
69
42
6485
66
91
73
49
4686
55
26
31
57
28
29
78
8998
24
11 37
68
0
% c
ha
ng
e in
em
plo
ym
en
t 1
99
6-2
00
5
-2 -1 0 1 2 3
contestability
bandwidth = .8
sdf Elementary and low-skilled service jobs
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(1) (2) (3) (4)
Dependent variable: Change in
employment, 1996-2005
OLS OLS WLS WLS
task-occupation connectivity 0.075** 0.153*** 0.058** 0.075**
(0.030) (0.048) (0.023) (0.032)
task-occupation wage differential 0.003 0.032 0.067** 0.083***
(0.024) (0.026) (0.026) (0.028)
education 1996 -0.084 -0.011
(0.059) (0.044)
log employment 1996 0.029 0.031
(0.027) (0.022)
Constant 0.012 -0.173 0.053** -0.183
(0.029) (0.189) (0.021) (0.176)
Observations 36 36 36 36
R-squared 0.168 0.273 0.329 0.370
Employment changes
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Employment changes
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
11 26 28 24 29 37 31 44 33 46 48 42 53 51 57 49 55 56 78 68 71 66 64 73 75 69 62 76 98 65 86 91 85 93 96 89
sta
ndard
ized v
alu
es
prediction employment
prediction employment
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Employment changes
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
11 26 28 24 29 37 31 44 33 46 48 42 53 51 57 49 55 56 78 68 71 66 64 73 75 69 62 76 98 65 86 91 85 93 96 89
sta
ndard
ized v
alu
es
prediction employment
prediction employment
Engineers and scientists
Elementary and low-skilled service jobs
Teachers
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Industry
task 1
firm
Outsource? Trade-off Measure
task 2 task 3 tasks…… task n
Production
• task-industry
connectivityMake vs. buy
Task-industry connectivityPresence of task X given presence task Y
33
1
j
jr jj jr
j
tic c m=
=
= ∑
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Connectivity: occ vs. ind
detailpeople
teachcspeech
persuad
selling
caring
strengtstamina
handstools
product
special
orgworkfaults
cause
solutn analyse
noerrormistakeplanme
planothmytime
ahead
read
shortlong
write
writeshwritelg
calca
percentstats
0.1
.2.3
.4.5
task
-occupati
on
con
nect
ivit
y
0 .1 .2 .3 .4 .5
task-industry connectivity
Tasks are more connected to thefirm than to the occupation
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Employment changes
0.2480.2460.2590.208R-squared
36363636Observations
(0.152)(0.026)(0.163)(0.028)
0.0140.031-0.2120.012constant
(0.019)(0.024)
0.0030.034log employment 1996
(0.053)(0.043)
0.011-0.006education 1996
(0.033)(0.021)(0.032)(0.022)
0.074**0.081***0.102***0.084***task-industry connectivity
WLSWLSOLSOLSDependent variable: Change in
employment, 1996-2005
(4)(3)(2)(1)
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Employment changes
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
11 26 28 24 29 37 31 44 33 46 48 42 53 51 57 49 55 56 78 68 71 66 64 73 75 69 62 76 98 65 86 91 85 93 96 89
sta
ndard
ized v
alu
es
prediction employment
prediction employment
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Space
task 1
country
Offshore? Trade-off Measure
task 2 task 3 tasks…… task n
Production
Proximity vs.
cost advantages
• Occupation-space
connectivity
• Spatial occupation
concentration
Occupation-space connectivityPresence of occ X given presence occ Y
Spatial occupation concentrationTradability of jobs: difference between the
occupation and population share
36
1
i
i ii i
i
osc c m=
=
=∑
17
1
v
v v v
v
soc occ ps=
=
= −∑
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Concentration and connectivity
11
24
26
2829
31
3337 42
44
46
48
49
51
53
55
56
57
62 64
65
66
68
69
71
73
75
76
78
82
85
86
89
9193
96
98
.05
.1.1
5.2
.25
.3
job c
onnectivity
.2 .3 .4 .5 .6 .7job concentration
Engineers and scientists
LS service and teachers
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Contestability
76
93
91
71
89
75
28
26
46
31
5162
86
98
49
96
78
11
4424
55
57
29
69
37
53
56
64
6633
48
42
7368
6585
0
% c
han
ge
in e
mp
loy
men
t 1
99
6-2
005
-2 -1 0 1 2
spatial contestability
bandwidth = .8
sdf
Engineers and scientists
Teachers
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(1) (2) (3) (4)
Dependent variable:
Changes in employment,
1996-2005
OLS WLS OLS WLS
job concentration -0.142** -0.135**
(0.069) (0.058)
job connectivity 0.039 0.029
(0.034) (0.029)
education 1996 0.102*** 0.133*** 0.118*** 0.154***
(0.037) (0.031) (0.034) (0.034)
log employment 1996 -0.049 -0.017 0.020 0.025
(0.043) (0.027) (0.025) (0.019)
log wage 1996 -0.326*** -0.285*** -0.326*** -0.333***
(0.113) (0.091) (0.102) (0.093)
constant 3.078*** 2.276*** 2.373** 2.390***
(0.966) (0.720) (0.880) (0.717)
Observations 36 36 36 36
R-squared 0.364 0.472 0.270 0.411
Employment changes
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Employment changes
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
11 26 28 24 29 37 31 44 33 46 48 42 53 51 57 49 55 56 78 68 71 66 64 73 75 69 62 76 98 65 86 91 85 93 96 89sta
ndard
ized v
alu
es
prediction employment
prediction employment
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Offshoring
� Relative amount of all imported intermediate output
70
1
j
i j j i
j
offshoring imp c=
=
= ∑
cji is an element of the Leontieff inverse matrix (I-A)-1
A is a 70×70 matrix with input-output information about
Intermediate purchases
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Offshoring and employment
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
3
62 29 56 53 69 49 93 73 57 89 96 42 37 33 76 98 31 91 28 78 55 51 64 71 11 75 85 24 65 48 44 66 86 68 26 46
sta
nd
ard
ize
d v
alu
es
total hours worked employment
total work hour employment
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Offshoring and employment
0.3170.0760.089R-squared
363636Observations
(0.013)
-0.021occupation-space connectivity
(0.023)
0.060**spatial occupation concentration
(0.014)
0.018task-industry connectivity
(0.012)
0.016task-occupation connectivity
(0.001)
0.001task-occupation wage differential
OLSOLSOLSDependent variable: Changes in
offshoring, 1996-2005
(3)(2)(1)
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Will my job be offshored?
� It depends …
► How well connected are the tasks within your job?
► How large is the price differential in your job?
► When tasks are separated from your job, to what extent will they be outsourced by the firm?
► How well connected is your job to other jobs?
► How concentrated is your job in space?
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Will my job be offshored?
� High school teacher – no► Worker – no
► Firm – no
► Space – no
� Low-skilled (service) jobs – yes, but no► Worker – yes
► Firm – yes
► Space – no
� High skilled technical jobs – yes ► Worker – yes
► Firm – ?
► Space – yes
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Conclusion
� Framework
� Empirical measures for division of labour
� Data
� Policy