inter-industry labor reallocation and task distance · inter-industry labor reallocation and task...

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Inter-industry labor reallocation and task distance Ayako Kondo * [email protected] Saori Naganuma ** [email protected] No.14-E-8 September 2014 Bank of Japan 2-1-1 Nihonbashi-Hongokucho, Chuo-ku, Tokyo 103-0021, Japan * Faculty of International Social Sciences, Yokohama National University ** Research and Statistics Department, Bank of Japan Papers in the Bank of Japan Working Paper Series are circulated in order to stimulate discussion and comments. Views expressed are those of authors and do not necessarily reflect those of the Bank. If you have any comment or question on the working paper series, please contact each author. When making a copy or reproduction of the content for commercial purposes, please contact the Public Relations Department (post.prd8@boj.or.jp) at the Bank in advance to request permission. When making a copy or reproduction, the source, Bank of Japan Working Paper Series, should explicitly be credited. Bank of Japan Working Paper Series

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Page 1: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

Inter-industry labor reallocation and task distance Ayako Kondo* [email protected] Saori Naganuma** [email protected]

No.14-E-8 September 2014

Bank of Japan 2-1-1 Nihonbashi-Hongokucho, Chuo-ku, Tokyo 103-0021, Japan

* Faculty of International Social Sciences, Yokohama National University ** Research and Statistics Department, Bank of Japan

Papers in the Bank of Japan Working Paper Series are circulated in order to stimulate discussion and comments. Views expressed are those of authors and do not necessarily reflect those of the Bank. If you have any comment or question on the working paper series, please contact each author. When making a copy or reproduction of the content for commercial purposes, please contact the Public Relations Department ([email protected]) at the Bank in advance to request permission. When making a copy or reproduction, the source, Bank of Japan Working Paper Series, should explicitly be credited.

Bank of Japan Working Paper Series

Page 2: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 3: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 4: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 5: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 6: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 7: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 8: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 9: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 10: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 11: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 12: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 13: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 14: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 15: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 16: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 17: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 18: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 19: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 20: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 21: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 22: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 23: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 24: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 25: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp
Page 26: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

25

Table 1. Summary statistics of Worker-flow data mean sd p50 p75 p90 N

Worker flow (1000 persons) 0.43 3.55 0.00 0.00 0.69 31,212 Total employment of destination industry

459.2 774.2 179.9 436.4 1128.6 31,212

Total employment of source industry

459.2 774.2 179.9 436.4 1128.6 31,212

Task distance 2.13 1.02 2.25 2.85 3.38 31,212 Transaction index 3.8% 10.2% 1.0% 2.9% 8.8% 31,212 TFP growth rate of destination industry

0.43% 3.47% 0.35% 1.86% 4.63% 28,764

TFP growth rate of source industry

0.43% 3.47% 0.35% 1.86% 4.63% 28,764

ROA of destination industry 4.30 2.74 3.98 5.59 6.79 27,930 ROA of source industry 4.30 2.74 3.98 5.59 6.79 27,930 log average monthly earnings of destination industry

341.6 61.5 335.8 375.2 426.6 27,744

log average monthly earnings of source industry

341.6 61.5 335.8 375.2 426.6 27,744

Unfilled vacancy rate of destination industry

1.1% 1.1% 0.8% 1.3% 1.9% 22,440

Unfilled vacancy rate of source industry

1.1% 1.1% 0.8% 1.3% 1.9% 22,440

Note: Unit of the observation is a cell by source industry, destination industry, sex, and year (2003-2008). Thus, N should be equal to (number of industries for which the variable is available)2*2*6.

Page 27: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

26

Tabl

e 2.

Sum

mar

y st

atis

tics o

f Wor

king

Per

son

Surv

ey

A

ll jo

b ch

ange

rs

Inte

r-in

dust

ry m

over

s on

ly

A

ll M

ale

Fem

ale

All

Mal

e Fe

mal

e Sa

mpl

e si

ze

7,66

7 3,

681

3,98

6 4,

505

1,97

6 2,

529

Ann

ual e

arni

ngs a

fter j

ob c

hang

e (1

0k y

en)

291.

94

405.

46

187.

11

261.

31

368.

92

167.

08

log

of a

nnua

l ear

ning

s afte

r job

cha

nge

5.

36

5.81

4.

93

5.26

5.

74

4.83

A

nnua

l ear

ning

s bef

ore

job

chan

ge (1

0k y

en)

335.

05

442.

55

235.

78

304.

61

399.

55

220.

96

log

of a

nnua

l ear

ning

s bef

ore

job

chan

ge

5.54

5.

89

5.21

5.

45

5.79

5.

15

Educ

atio

n

Jr

. Hig

h Sc

hool

3.

3%

4.6%

2.

1%

4.0%

5.

4%

2.8%

H

igh

scho

ol

32.0

%

29.3

%

34.4

%

37.6

%

34.3

%

40.5

%

Voca

tiona

l col

lege

(1-3

yr)

17.3

%

15.7

%

18.7

%

14.6

%

13.0

%

16.0

%

Juni

or c

olle

ge (2

yr; A

A e

quiv

alen

t)

11.1

%

1.3%

20

.2%

11

.4%

1.

4%

20.0

%

Kos

en (T

ech

colle

ge; A

A e

quiv

alen

t) 1.

5%

2.7%

0.

4%

1.4%

2.

8%

0.3%

C

olle

ge (4

year

)

32.0

%

41.8

%

22.8

%

29.2

%

40.3

%

19.7

%

Gra

duat

e sc

hool

2.

8%

4.6%

1.

3%

1.8%

2.

9%

0.9%

Y

ear o

f job

cha

nge

20

05.5

20

05.4

20

05.6

20

02.0

20

00.7

20

03.2

A

ge a

t the

tim

e of

job

chan

ge

35.4

8 34

.62

36.2

7 34

.19

31.9

9 36

.09

Rea

son

of q

uit

In

volu

ntar

y te

rmin

atio

n 15

.8%

18

.4%

13

.3%

12

.3%

14

.4%

10

.5%

Fa

mily

or h

ealth

reas

on

19.5

%

3.3%

34

.5%

24

.7%

4.

0%

42.8

%

Dis

cont

ent w

ith th

e pr

evio

us jo

b 51

.9%

61

.8%

42

.6%

49

.9%

63

.9%

37

.7%

Fo

r a b

ette

r car

eer

12

.9%

16

.4%

9.

6%

13.1

%

17.7

%

9.1%

Ta

sk d

ista

nce

betw

een

the

dest

inat

ion

and

sour

ce in

dust

ries

1.33

1.

18

1.47

2.

37

2.28

2.

45

Tran

sact

ion

inde

x

28.5

%

25.0

%

31.8

%

9.5%

9.

6%

9.4%

Page 28: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

27

TFP

grow

th ra

te o

f des

tinat

ion

indu

stry

0.

06%

0.

03%

0.

08%

0.

06%

0.

07%

0.

05%

TF

P gr

owth

rate

of s

ourc

e in

dust

ry

0.04

%

0.02

%

0.06

%

0.08

%

0.10

%

0.07

%

RO

A o

f des

tinat

ion

indu

stry

3.

67%

3.

69%

3.

66%

3.

53%

3.

59%

3.

48%

R

OA

of s

ourc

e in

dust

ry

3.74

%

3.67

%

3.81

%

3.60

%

3.47

%

3.69

%

Log

aver

age

mon

thly

ear

ning

s of d

estin

atio

n in

dust

ry

5.78

5.

81

5.76

5.

77

5.79

5.

75

Log

aver

age

mon

thly

ear

ning

s of s

ourc

e in

dust

ry

5.79

5.

81

5.77

5.

77

5.78

5.

77

Unf

illed

vac

ancy

rate

of d

estin

atio

n in

dust

ry

0.91

%

0.90

%

0.91

%

1.00

%

0.95

%

1.04

%

Unf

illed

vac

ancy

rate

of s

ourc

e in

dust

ry

0.91

%

0.91

%

0.90

%

1.00

%

0.99

%

1.01

%

Task

dis

tanc

e be

twee

n cu

rren

t and

pre

viou

s job

s (m

easu

red

base

d on

oc

cupa

tion)

2.

74

2.53

2.

91

3.92

4.

06

3.81

Page 29: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

28

Table 3 Determinants of inter-industry worker flow A. All

(1) (2) (3) (4) log total employment 0.925*** 0.889*** 0.885*** 0.896*** of destination industry [0.034] [0.037] [0.030] [0.037] log total employment 0.867*** 0.851*** 0.868*** 0.857*** of source industry [0.033] [0.031] [0.027] [0.035] log task distance -0.417*** -0.533*** -0.443*** -0.453***

[0.023] [0.029] [0.022] [0.026] Log transaction index 0.116*** 0.065*** 0.082*** 0.117***

[0.013] [0.012] [0.011] [0.014] TFP growth rate -0.091 of destination industry [0.499] TFP growth rate 0.688 of source industry [0.513] ROA -0.037 of destination industry *100 [0.044] ROA -0.022 of source industry *100 [0.018] log average earnings 0.408 of destination industry [0.471] log average earnings -0.979* of source industry [0.538] Unfilled vacancy rate 4.216* of destination industry [2.222] Unfilled vacancy rate 0.070 of source industry [2.415] Observations 25,752 20,520 23,928 18,740 Marginal effects of a SD change of: Log task distance -0.053 -0.100 -0.098 -0.069 Log transaction index 0.040 0.032 0.050 0.047

Note: Coefficients of Poisson regressions. See the text for details. The number of observation is smaller than that in Table 1 because observations with 0 or negative values for the transaction index or task distance are dropped in order to take log of them. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively.

Page 30: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

29

Table 3 Determinants of inter-industry worker flow B. Male

(1) (2) (3) (4) log total employment 1.102*** 0.960*** 0.994*** 0.903*** of destination industry [0.220] [0.325] [0.293] [0.274] log total employment 0.729*** 1.397*** 1.214*** 0.874*** of source industry [0.257] [0.329] [0.253] [0.313] log task distance -0.477*** -0.565*** -0.484*** -0.481***

[0.031] [0.042] [0.030] [0.035] log transaction index 0.126*** 0.080*** 0.089*** 0.121***

[0.016] [0.019] [0.015] [0.017] TFP growth rate -1.042 of destination industry [0.663] TFP growth rate 0.497 of source industry [0.654] ROA -0.072 of destination industry *100 [0.067] ROA -0.023 of source industry *100 [0.027] log average earnings 0.918 of destination industry [0.647] log average earnings -1.057 of source industry [0.727] Unfilled vacancy rate 4.844 of destination industry [2.959] Unfilled vacancy rate -0.923 of source industry [3.367] Observations 12,876 10,260 11,964 9,370 Marginal effects of a SD change of: Log task distance -0.071 -0.108 -0.112 -0.083 Log transaction index 0.051 0.040 0.057 0.055

Note: Coefficients of Poisson regressions. See the text for details. The number of observation is smaller than that in Table 1 because observations with 0 or negative values for the transaction index or task distance are dropped in order to take log of them. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively.

Page 31: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

30

Table 3 Determinants of inter-industry worker flow C. Female

(1) (2) (3) (4) log total employment 1.246*** 0.917*** 0.973*** 1.053*** of destination industry [0.254] [0.249] [0.224] [0.315] log total employment 0.608** 0.845*** 0.850*** 0.135 of source industry [0.278] [0.313] [0.207] [0.334] log task distance -0.344*** -0.489*** -0.364*** -0.412***

[0.036] [0.042] [0.035] [0.040] log transaction index 0.080*** 0.038** 0.064*** 0.089***

[0.019] [0.015] [0.014] [0.021] TFP growth rate 0.940 of destination industry [0.767] TFP growth rate 0.905 of source industry [0.758] ROA 0.010 of destination industry *100 [0.027] ROA -0.012 of source industry *100 [0.022] log average earnings 0.015 of destination industry [0.639] log average earnings -0.754 of source industry [0.677] Unfilled vacancy rate 3.510 of destination industry [3.284] Unfilled vacancy rate 0.633 of source industry [3.355] Observations 12,336 9,820 11,444 8,950 Marginal effects of a SD change of: Log task distance -0.039 -0.095 -0.081 -0.059 Log transaction index 0.022 0.018 0.036 0.031

Note: Coefficients of Poisson regressions. See the text for details. The number of observation is smaller than that in Table 1 because observations with 0 or negative values for the transaction index or task distance are dropped in order to take log of them. Also, all industry pairs with mining are dropped because so few women leave or enter the mining industry that poisson regression including mining does not converge on STATA. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively.

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31

Table 4 Determinants of earnings after inter-industry job change A. All

(1) (2) (3) (4) Task distance between the -0.044*** -0.046*** -0.049*** -0.043*** source & destination industries [0.007] [0.007] [0.007] [0.007] Transaction index 0.066** 0.052* 0.052 0.051*

[0.030] [0.029] [0.032] [0.030] TFP growth rate -0.030 of destination industry [0.290] TFP growth rate -0.223 of source industry [0.294] ROA 0.003 of destination industry *100 [0.005] ROA -0.002 of source industry *100 [0.004] log average earnings 0.384 of destination industry [0.355] log average earnings 0.317 of source industry [0.348] Unfilled vacancy rate 0.009 of destination industry *100 [0.012] Unfilled vacancy rate -0.001 of source industry *100 [0.013] Observations 6,862 7,618 6,792 7,186 R-squared 0.626 0.626 0.621 0.631

Note: Linear regression of log annual earnings after job change. Control variables omitted from the table include the female dummy, age and squared age, log earnings of the previous job, dummy variables for year of obtaining the current job, year of the survey, industry of current and previous jobs, and education. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively.

Page 33: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

32

Table 4 Changes in earnings after inter-industry job change (continued) B. Male

(1) (2) (3) (4) Task distance between the -0.029*** -0.031*** -0.036*** -0.032*** source & destination industries [0.007] [0.007] [0.008] [0.007] IO index 0.058* 0.042 0.047 0.032

[0.034] [0.034] [0.038] [0.034] TFP growth rate 0.028 of destination industry [0.312] TFP growth rate -0.386 of source industry [0.340] ROA -0.006 of destination industry *100 [0.007] ROA 0.008 of source industry *100 [0.005] log average earnings 0.207 of destination industry [0.384] log average earnings 0.210 of source industry [0.380] Unfilled vacancy rate -0.014 of destination industry *100 [0.012] Unfilled vacancy rate 0.018 of source industry *100 [0.012] Observations 3,330 3,669 3,203 3,540 R-squared 0.645 0.665 0.660 0.668

Note: Linear regression of log annual earnings after job change. Control variables omitted from the table include age and squared age, log earnings of the previous job, dummy variables for year of obtaining the current job, year of the survey, industry of current and previous jobs, and education. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively.

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33

Table 4 Changes in earnings after inter-industry job change (continued) C. Female

(1) (2) (3) (4) Task distance between the -0.040*** -0.043*** -0.045*** -0.035*** source & destination industries [0.012] [0.012] [0.012] [0.013] Transaction index 0.098** 0.083* 0.079 0.093**

[0.047] [0.046] [0.048] [0.047] TFP growth rate -0.243 of destination industry [0.455] TFP growth rate -0.148 of source industry [0.431] ROA 0.008 of destination industry *100 [0.006] ROA -0.006 of source industry *100 [0.006] log average earnings 0.751 of destination industry [0.554] log average earnings 0.416 of source industry [0.553] Unfilled vacancy rate 0.034 of destination industry *100 [0.021] Unfilled vacancy rate -0.013 of source industry *100 [0.024] Observations 3,532 3,949 3,589 3,646 R-squared 0.447 0.45 0.454 0.456

Note: Linear regression of log annual earnings after job change. Control variables omitted from the table include age and squared age, log earnings of the previous job, dummy variables for year of obtaining the current job, year of the survey, industry of current and previous jobs, and education. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively.

Page 35: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

34

Table 5 Changes in earnings after job changes, including intra-industry moves, and differences in required tasks before and after the job change

All (1) (2) (3) (4)

Inter-industry move (dummy) -0.100*** -0.019 -0.036** -0.012 [0.015] [0.031] [0.018] [0.034]

Task distance between the -0.039*** -0.012 source & destination industries [0.013] [0.014] Task distance between current and -0.022*** -0.022*** previous jobs (based on occupations) [0.003] [0.003] Transaction index between the 0.075*** 0.051* 0.085*** 0.077** source & destination industries [0.028] [0.029] [0.031] [0.032] Observations 7,667 7,667 5,971 5,971 R-squared 0.627 0.627 0.63 0.63

Male (5) (6) (7) (8)

Inter-industry move (dummy) -0.072*** -0.020 -0.021 -0.005 [0.018] [0.034] [0.023] [0.039]

Task distance between the -0.024* -0.008 source & destination industries [0.013] [0.014] Task distance between current and -0.016*** -0.016*** previous jobs (based on occupations) [0.003] [0.003] Transaction index between the 0.048 0.04 0.061 0.058 source & destination industries [0.035] [0.035] [0.039] [0.038] Observations 3,681 3,681 2,729 2,729 R-squared 0.666 0.666 0.7 0.7

Female (9) (10) (11) (12)

Inter-industry move (dummy) -0.089*** -0.015 -0.023 -0.038 [0.025] [0.052] [0.028] [0.057]

Task distance between the -0.036 0.008 source & destination industries [0.024] [0.026] Task distance between current and -0.024*** -0.024*** previous jobs (based on occupations) [0.004] [0.004] Transaction index between the 0.112*** 0.084* 0.120*** 0.127** source & destination industries [0.041] [0.046] [0.045] [0.051] Observations 3,986 3,986 3,242 3,242 R-squared 0.45 0.45 0.46 0.46

Page 36: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

35

Note: Linear regression of log annual earnings after job change. Control variables omitted from the table include age and squared age, log earnings of the previous job, dummy variables for year of obtaining the current job, year of the survey, industry of current and previous jobs, and education. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively. The sample sizes of columns (3), (4), (7), (8), (11) and (12) are smaller than the other columns because some of the occupation codes in the Working Person Survey do not fit to any occupation in JILPT (2012) and thus we were unable to calculate task distance based on actual occupations for them.

Page 37: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

36

Tabl

e 6a

Tas

k di

stan

ce b

etw

een

the

sour

ce a

nd d

estin

atio

n in

dust

ries

and

ear

ning

s ch

ange

; by

age

at th

e tim

e of

get

ting

the

curr

ent j

ob (r

efer

ence

: 35

-44

year

s old

)

Y=T

ask

dist

ance

bet

S&

D in

dust

ries

Y

=log

(ear

ning

s)

A

ll M

ale

Fe

mal

e A

ll M

ale

Fe

mal

e A

ge: 2

5 or

you

nger

0.

079*

0.

408*

**

-0.2

11**

* -0

.002

-0

.082

**

0.16

8***

[0.0

46]

[0.0

66]

[0.0

64]

[0.0

28]

[0.0

36]

[0.0

44]

Age

: 25-

34

-0.0

44

0.12

5**

-0.1

65**

* 0.

051*

* -0

.002

0.

166*

**[0

.035

] [0

.052

] [0

.048

] [0

.021

] [0

.021

] [0

.038

] A

ge: 4

5-54

-0

.064

-0

.038

-0

.078

-0

.029

-0

.087

***

-0.0

02

[0.0

43]

[0.0

67]

[0.0

56]

[0.0

27]

[0.0

29]

[0.0

45]

Age

55-

59

0.02

8 0.

190*

-0

.085

-0

.166

***

-0.3

41**

*0.

054

[0.0

77]

[0.1

06]

[0.1

14]

[0.0

49]

[0.0

61]

[0.0

76]

Task

dis

tanc

e be

twee

n th

e

-0.0

90**

*-0

.036

***

-0.0

98**

*so

urce

& d

estin

atio

n in

dust

ries

[0.0

10]

[0.0

11]

[0.0

15]

Task

dis

tanc

e*

0.08

4***

0.03

0 0.

096*

**A

ge: 2

5 or

you

nger

[0

.015

] [0

.019

] [0

.022

] Ta

sk d

ista

nce*

0.

039*

**0.

000

0.03

A

ge: 2

5-34

[0

.012

] [0

.013

] [0

.019

] Ta

sk d

ista

nce*

0.

011

-0.0

58**

*0.

033

Age

: 45-

54

[0.0

16]

[0.0

20]

[0.0

23]

Task

dis

tanc

e*

-0.0

11

-0.0

63

-0.0

36

Age

55-

59

[0.0

30]

[0.0

42]

[0.0

42]

Obs

erva

tions

9,

278

4,29

7 4,

981

8,56

3 4,

017

4,54

6 R

-squ

ared

0.

018

0.01

1 0.

003

0.59

8 0.

64

0.39

N

ote:

Var

iabl

es o

mitt

ed fr

om th

e ta

ble:

mal

e du

mm

y (a

ll) in

task

dis

tanc

e re

gres

sion

s an

d m

ale

dum

my

(all)

and

log

earn

ings

of t

he p

revi

ous

jobs

in e

arni

ngs

regr

essi

ons.

*, *

*, a

nd *

** in

dica

te st

atis

tical

sign

ifica

nce

at th

e 10

%, 5

% a

nd 1

% le

vels

, res

pect

ivel

y.

Page 38: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

37

Tabl

e 6b

Tas

k di

stan

ce b

etw

een

the

sour

ce a

nd d

estin

atio

n in

dust

ries

and

ear

ning

s ch

ange

; by

educ

atio

n (r

efer

ence

: voc

atio

nal s

choo

l, jr

col

lege

and

te

chni

cal c

olle

ge)

Y

=Tas

k di

stan

ce b

et S

&D

indu

strie

s Y

=log

(ear

ning

s)

A

ll M

ale

Fe

mal

e A

ll M

ale

Fem

ale

Hig

h Sc

hool

or l

ess

0.16

4***

0.

138*

* 0.

184*

**

-0.0

42**

0.01

2 -0

.086

***

[0.0

34]

[0.0

57]

[0.0

43]

[0.0

21]

[0.0

23]

[0.0

33]

Col

lege

(4ye

ar)

0.00

9 0.

026

-0.0

23

0.08

9***

0.09

4***

0.11

2***

or

mor

e [0

.037

] [0

.055

] [0

.052

] [0

.022

] [0

.023

] [0

.038

] Ta

sk d

ista

nce

betw

een

the

-0

.065

***

-0.0

17

-0.0

84**

*so

urce

& d

estin

atio

n in

dust

ries

[0.0

09]

[0.0

12]

[0.0

12]

Task

dis

tanc

e*

0.02

0*

-0.0

25

0.04

1**

Hig

h Sc

hool

or l

ess

[0.0

12]

[0.0

15]

[0.0

17]

Task

dis

tanc

e*

-0.0

13

-0.0

37**

-0

.023

C

olle

ge (4

year

) or m

ore

[0

.013

] [0

.013

] [0

.014

] O

bser

vatio

ns

9,27

8 4,

297

4,98

1 8,

563

4,01

7 4,

546

R-s

quar

ed

0.02

0.

002

0.00

5 0.

592

0.62

3 0.

372

Not

e: V

aria

bles

om

itted

from

the

tabl

e: m

ale

dum

my

(all)

in ta

sk d

ista

nce

regr

essi

ons

and

mal

e du

mm

y (a

ll) a

nd lo

g ea

rnin

gs o

f the

pre

viou

s jo

bs in

ear

ning

s re

gres

sion

s. *,

**,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 39: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

38

Tabl

e 6c

Tas

k di

stan

ce b

etw

een

the

sour

ce a

nd d

estin

atio

n in

dust

ries

and

ear

ning

s ch

ange

; by

the

reas

ons

why

the

resp

onde

nt q

uit t

he p

revi

ous

job

(ref

eren

ce: d

isco

nten

t with

the

prev

ious

job)

Y=T

ask

dist

ance

bet

S&

D in

dust

ries

Y=l

og(e

arni

ngs)

All

Mal

e

Fem

ale

All

Mal

e

Fem

ale

Invo

lunt

ary

quits

-0

.095

**

-0.1

29**

-0

.052

-0

.099

***

-0.1

34**

*-0

.064

* [0

.041

] [0

.055

] [0

.063

] [0

.021

] [0

.025

] [0

.036

] Fa

mily

or h

ealth

reas

on

0.31

7***

0.

256*

* 0.

330*

**

-0.5

18**

* -0

.297

***

-0.5

47**

*[0

.040

] [0

.117

] [0

.045

] [0

.032

] [0

.078

] [0

.036

] Fo

r a b

ette

r car

eer

-0

.068

-0

.057

-0

.087

0.

067*

**

0.07

3***

0.04

7 [0

.045

] [0

.058

] [0

.071

] [0

.020

] [0

.022

] [0

.039

] Ta

sk d

ista

nce

betw

een

the

-0

.041

***

-0.0

33**

*-0

.049

***

sour

ce &

des

tinat

ion

indu

strie

s [0

.006

] [0

.007

] [0

.009

] Ta

sk d

ista

nce*

-0

.01

-0.0

24

0 In

volu

ntar

y te

rmin

atio

n

[0.0

13]

[0.0

17]

[0.0

20]

Task

dis

tanc

e*

-0.0

18

-0.0

23

-0.0

09

Fam

ily o

r hea

lth re

ason

[0

.015

] [0

.044

] [0

.017

] Ta

sk d

ista

nce*

0.

003

-0.0

09

0.02

2 Fo

r a b

ette

r car

eer

[0

.012

] [0

.014

] [0

.021

] O

bser

vatio

ns

8,82

9 4,

102

4,72

7 8,

147

3,83

5 4,

312

R-s

quar

ed

0.02

7 0.

003

0.01

6 0.

636

0.62

7 0.

463

Not

e: V

aria

bles

om

itted

from

the

tabl

e: m

ale

dum

my

(all)

in ta

sk d

ista

nce

regr

essi

ons

and

mal

e du

mm

y (a

ll) a

nd lo

g ea

rnin

gs o

f the

pre

viou

s jo

bs in

ear

ning

s re

gres

sion

s. *,

**,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 40: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

39

Tabl

e 7a

Det

erm

inan

ts o

f ta

sk d

ista

nce

betw

een

curr

ent

and

prev

ious

job

s (b

ased

on

occu

patio

n);

by a

ge a

t th

e tim

e of

get

ting

the

curr

ent

job

(ref

eren

ce: 3

5-44

yea

rs o

ld)

Y=t

ask

dist

ance

bet

wee

n cu

rren

t and

pre

viou

s job

s

All

All

M

ale

Mal

e Fe

mal

e Fe

mal

e A

ge: 2

5 or

you

nger

0.

335*

**0.

193*

* 1.

193*

**0.

633*

**-0

.314

**

-0.2

07

[0.1

04]

[0.0

95]

[0.1

58]

[0.1

46]

[0.1

36]

[0.1

28]

Age

: 25-

34

-0.0

67

-0.0

74

0.36

5***

0.16

3 -0

.301

***

-0.2

30**

[0

.080

] [0

.075

] [0

.127

] [0

.115

] [0

.103

] [0

.099

] A

ge: 4

5-54

0.

038

0.10

0 0.

413*

* 0.

357*

* -0

.157

-0

.044

[0

.100

] [0

.095

] [0

.174

] [0

.160

] [0

.121

] [0

.118

] A

ge 5

5-59

-0

.091

-0

.063

0.

563*

* 0.

357

-0.5

26**

-0

.392

* [0

.181

] [0

.176

] [0

.279

] [0

.269

] [0

.234

] [0

.230

] Ta

sk d

ista

nce

betw

een

the

1.

039*

**1.

147*

**0.

947*

**so

urce

& d

estin

atio

n in

dust

ries

[0.0

22]

[0.0

34]

[0.0

28]

Obs

erva

tions

8,

152

7,27

6 3,

503

3,19

8 4,

649

4,07

8 R

-squ

ared

0.

005

0.23

9 0.

016

0.28

0.

003

0.20

7 N

ote:

Var

iabl

es o

mitt

ed fr

om th

e ta

ble:

mal

e du

mm

y (a

ll). *

, **,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 41: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

40

Tabl

e 7b

Det

erm

inan

ts o

f ta

sk d

ista

nce

betw

een

curr

ent

and

prev

ious

job

s (b

ased

on

occu

patio

n);

by e

duca

tion

(ref

eren

ce:

voca

tiona

l sc

hool

, jr

colle

ge a

nd te

chni

cal c

olle

ge)

Y=t

ask

dist

ance

bet

wee

n cu

rren

t and

pre

viou

s job

s

All

All

M

ale

Mal

e Fe

mal

e Fe

mal

e H

igh

Scho

ol o

r les

s 0.

322*

**0.

106

0.22

5 0.

004

0.35

1***

0.14

3 [0

.078

] [0

.071

] [0

.140

] [0

.119

] [0

.093

] [0

.089

] C

olle

ge (4

year

) -0

.129

-0

.127

-0

.350

***

-0.3

75**

*0.

064

0.11

or

mor

e [0

.085

] [0

.080

] [0

.135

] [0

.119

] [0

.113

] [0

.111

] Ta

sk d

ista

nce

betw

een

the

1.

036*

**1.

156*

**0.

948*

**so

urce

& d

estin

atio

n in

dust

ries

[0.0

22]

[0.0

33]

[0.0

28]

Obs

erva

tions

8,

152

7,27

6 3,

503

3,19

8 4,

649

4,07

8 R

-squ

ared

0.

007

0.23

9 0.

008

0.27

9 0.

003

0.20

6 N

ote:

Var

iabl

es o

mitt

ed fr

om th

e ta

ble:

mal

e du

mm

y (a

ll). *

, **,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 42: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

41

Tabl

e 7c

Det

erm

inan

ts o

f ta

sk d

ista

nce

betw

een

curr

ent

and

prev

ious

job

s (b

ased

on

occu

patio

n);

by t

he r

easo

ns w

hy t

he r

espo

nden

t qu

it th

e pr

evio

us jo

b (r

efer

ence

: dis

cont

ent w

ith th

e pr

evio

us jo

b)

Y=t

ask

dist

ance

bet

wee

n cu

rren

t and

pre

viou

s job

s

All

All

M

ale

Mal

e Fe

mal

e Fe

mal

e In

volu

ntar

y te

rmin

atio

n -0

.134

-0

.046

-0

.081

0.

033

-0.1

91

-0.1

23

[0.0

97]

[0.0

93]

[0.1

39]

[0.1

28]

[0.1

34]

[0.1

36]

Fam

ily o

r hea

lth re

ason

0.

542*

**0.

211*

* 0.

883*

**0.

530*

* 0.

497*

**0.

195*

* [0

.089

] [0

.084

] [0

.288

] [0

.259

] [0

.096

] [0

.092

] Fo

r a b

ette

r car

eer

-0

.218

**-0

.153

-0

.245

* -0

.202

* -0

.179

-0

.076

[0

.102

] [0

.094

] [0

.138

] [0

.121

] [0

.153

] [0

.150

] Ta

sk d

ista

nce

betw

een

the

1.

036*

**1.

156*

**0.

946*

**so

urce

& d

estin

atio

n in

dust

ries

[0.0

22]

[0.0

34]

[0.0

29]

Obs

erva

tions

7,

727

6,92

6 3,

332

3,05

7 4,

395

3,86

9 R

-squ

ared

0.

01

0.24

0.

005

0.27

5 0.

01

0.21

N

ote:

Var

iabl

es o

mitt

ed fr

om th

e ta

ble:

mal

e du

mm

y (a

ll). *

, **,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 43: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

42

Tabl

e 8a

Ear

ning

s ch

ange

due

to

diff

eren

ces

in r

equi

red

task

s be

twee

n cu

rren

t an

d pr

evio

us j

obs;

by

age

at t

he t

ime

of g

ettin

g th

e cu

rren

t jo

b (r

efer

ence

: 35-

44 y

ears

old

)

All

All

M

ale

Mal

e Fe

mal

e Fe

mal

e Ta

sk d

ista

nce

betw

een

curr

ent a

nd

-0.0

42**

* -0

.029

***

-0.0

17**

* -0

.012

* -0

.048

***

-0.0

36**

*pr

evio

us jo

bs (b

ased

on

occu

patio

ns)

[0.0

05]

[0.0

06]

[0.0

05]

[0.0

07]

[0.0

07]

[0.0

08]

Task

dis

tanc

e be

t job

s *

0.03

5***

0.

020*

* 0.

016*

0.

012

0.04

5***

0.02

9**

Age

: 25

or y

oung

er

[0.0

08]

[0.0

09]

[0.0

09]

[0.0

11]

[0.0

11]

[0.0

12]

Task

dis

tanc

e be

t job

s *

0.01

1*

0.00

9 -0

.004

-0

.003

0.

008

0.01

2 A

ge: 2

5-34

[0

.006

] [0

.007

] [0

.006

] [0

.008

] [0

.010

] [0

.011

] Ta

sk d

ista

nce

bet j

obs *

0

-0.0

08

-0.0

30**

* -0

.025

**

0.01

-0

.001

A

ge: 4

5-54

[0

.008

] [0

.009

] [0

.009

] [0

.011

] [0

.011

] [0

.012

] Ta

sk d

ista

nce

bet j

obs *

0

0.00

5 -0

.049

**

-0.0

44*

0.03

6 0.

061*

* A

ge 5

5-59

[0

.016

] [0

.018

] [0

.021

] [0

.023

] [0

.022

] [0

.026

] Ta

sk d

ista

nce

betw

een

the

-0

.065

***

-0.0

29*

-0.0

66**

*so

urce

& d

estin

atio

n in

dust

ries

[0.0

13]

[0.0

15]

[0.0

18]

Task

dis

tanc

e be

t. in

dust

ries*

0.

074*

**

0.02

8 0.

077*

**A

ge: 2

5 or

you

nger

[0

.019

] [0

.027

] [0

.024

] Ta

sk d

ista

nce

bet.

indu

strie

s *

0.03

4**

0.01

5 0.

017

Age

: 25-

34

[0.0

16]

[0.0

18]

[0.0

23]

Task

dis

tanc

e be

t. in

dust

ries *

0.

021

-0.0

26

0.02

9 A

ge: 4

5-54

[0

.020

] [0

.025

] [0

.026

] Ta

sk d

ista

nce

bet.

indu

strie

s *

0.01

9 0.

012

-0.0

41

Age

55-

59

[0.0

37]

[0.0

54]

[0.0

50]

Obs

erva

tions

7,

522

6,72

2 3,

269

2,99

1 4,

253

3,73

1 R

-squ

ared

0.

587

0.59

9 0.

662

0.66

6 0.

391

0.40

1 N

ote:

Var

iabl

es o

mitt

ed f

rom

the

tabl

e: lo

g ea

rnin

gs o

f th

e pr

evio

us jo

bs, d

umm

ies

for

age

cate

gorie

s, m

ale

dum

my

(all)

. *, *

*, a

nd *

** in

dica

te s

tatis

tical

si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 44: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

43

Tabl

e 8b

Ear

ning

s ch

ange

due

to

diff

eren

ces

in r

equi

red

task

s be

twee

n cu

rren

t an

d pr

evio

us j

obs;

by

educ

atio

n (r

efer

ence

: vo

catio

nal

scho

ol, j

r co

llege

and

tech

nica

l col

lege

)

All

All

M

ale

Mal

e Fe

mal

e Fe

mal

e Ta

sk d

ista

nce

betw

een

curr

ent a

nd

-0.0

38**

*-0

.032

***

-0.0

16**

*-0

.019

***

-0.0

48**

*-0

.041

***

prev

ious

jobs

(bas

ed o

n oc

cupa

tions

) [0

.005

] [0

.006

] [0

.005

] [0

.007

] [0

.006

] [0

.007

] Ta

sk d

ista

nce

bet j

obs *

0.

017*

**0.

022*

**0.

001

0.01

2 0.

024*

**0.

029*

**H

igh

Scho

ol o

r les

s [0

.006

] [0

.007

] [0

.007

] [0

.009

] [0

.009

] [0

.010

] Ta

sk d

ista

nce

bet j

obs *

0

0.00

2 -0

.018

***

-0.0

08

0.00

4 0.

007

Col

lege

(4ye

ar) o

r mor

e [0

.006

] [0

.007

] [0

.007

] [0

.008

] [0

.010

] [0

.012

] Ta

sk d

ista

nce

betw

een

the

-0

.032

***

0.00

9 -0

.045

***

sour

ce &

des

tinat

ion

indu

strie

s [0

.012

] [0

.015

] [0

.015

] Ta

sk d

ista

nce

bet.

indu

strie

s *

-0.0

02

-0.0

38*

0.01

1 H

igh

Scho

ol o

r les

s [0

.015

] [0

.021

] [0

.020

] Ta

sk d

ista

nce

bet.

indu

strie

s *

-0.0

1 -0

.036

**

-0.0

2 C

olle

ge (4

year

) or m

ore

[0

.015

] [0

.018

] [0

.024

] O

bser

vatio

ns

7,52

2 6,

722

3,26

9 2,

991

4,25

3 3,

731

R-s

quar

ed

0.58

5 0.

595

0.64

8 0.

653

0.38

0.

387

Not

e: V

aria

bles

om

itted

from

the

tabl

e: lo

g ea

rnin

gs o

f the

pre

viou

s jo

bs, d

umm

ies

for h

igh

scho

ol a

nd c

olle

ge e

duca

tion,

mal

e du

mm

y (a

ll). *

, **,

and

***

in

dica

te st

atis

tical

sign

ifica

nce

at th

e 10

%, 5

% a

nd 1

% le

vels

, res

pect

ivel

y.

Page 45: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

44

Tabl

e 8c

Ear

ning

s ch

ange

due

to

diff

eren

ces

in r

equi

red

task

s be

twee

n cu

rren

t an

d pr

evio

us j

obs;

by

the

reas

ons

why

the

res

pond

ent

quit

the

prev

ious

job

(ref

eren

ce: d

isco

nten

t with

the

prev

ious

job)

All

All

M

ale

Mal

e Fe

mal

e Fe

mal

e Ta

sk d

ista

nce

betw

een

curr

ent a

nd

-0.0

23**

*-0

.019

***

-0.0

18**

*-0

.014

***

-0.0

28**

*-0

.025

***

prev

ious

jobs

(bas

ed o

n oc

cupa

tions

) [0

.003

] [0

.003

] [0

.003

] [0

.004

] [0

.005

] [0

.006

] Ta

sk d

ista

nce

bet j

obs *

-0

.005

-0

.003

-0

.011

-0

.009

0.

001

0.00

1 In

volu

ntar

y te

rmin

atio

n [0

.006

] [0

.007

] [0

.007

] [0

.009

] [0

.010

] [0

.011

] Ta

sk d

ista

nce

bet j

obs *

-0

.015

**-0

.008

-0

.046

**-0

.052

**

-0.0

09

0.00

0 Fa

mily

or h

ealth

reas

on

[0.0

08]

[0.0

09]

[0.0

19]

[0.0

24]

[0.0

09]

[0.0

10]

Task

dis

tanc

e be

t job

s *

0.00

7 0.

008

-0.0

03

0.00

0 0.

024*

* 0.

023*

* Fo

r a b

ette

r car

eer

[0

.006

] [0

.007

] [0

.007

] [0

.009

] [0

.010

] [0

.011

] Ta

sk d

ista

nce

betw

een

the

-0

.023

***

-0.0

16*

-0.0

27**

so

urce

& d

estin

atio

n in

dust

ries

[0.0

07]

[0.0

10]

[0.0

11]

Task

dis

tanc

e be

t. in

dust

ries*

-0

.005

-0

.006

-0

.008

In

volu

ntar

y te

rmin

atio

n [0

.014

] [0

.021

] [0

.021

] Ta

sk d

ista

nce

bet.

indu

strie

s *

-0.0

04

0.05

-0

.001

Fa

mily

or h

ealth

reas

on

[0.0

18]

[0.0

59]

[0.0

21]

Task

dis

tanc

e be

t. in

dust

ries *

-0

.001

-0

.002

0.

000

For a

bet

ter c

aree

r

[0.0

15]

[0.0

18]

[0.0

23]

Obs

erva

tions

7,

122

6,39

5 3,

105

2,85

7 4,

017

3,53

8 R

-squ

ared

0.

633

0.64

1 0.

65

0.65

5 0.

474

0.47

7 N

ote:

Var

iabl

es o

mitt

ed fr

om th

e ta

ble:

log

earn

ings

of t

he p

revi

ous j

obs,

dum

mie

s for

reas

ons o

f qui

ts, m

ale

dum

my

(all)

. *,

**,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.

Page 46: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

45

App

endi

x Ta

ble A

1 So

urce

s and

def

initi

ons o

f var

iabl

es fo

r in

dust

ry p

erfo

rman

ce

Var

iabl

e D

efin

ition

D

ata

sour

ce

Met

hod

of

aggr

egat

ion

acro

ss

indu

strie

s

TFP

grow

th

rate

A

nnua

l gro

wth

rate

of t

he

indu

stry

's TF

P.

JIP

data

base

, RIE

TI.

ht

tp://

ww

w.ri

eti.g

o.jp

/en/

data

base

/JIP

2012

/ind

ex.h

tml.

4 gr

owth

acc

ount

ing

> 19

TFP

gro

wth

ra

te b

y se

ctor

.

Sim

ple

aver

age.

RO

A

Cur

rent

pro

fit d

ivid

ed b

y to

tal a

sset

.

Fina

ncia

l Sta

tem

ents

Sta

tistic

s of C

orpo

ratio

ns

by In

dust

ry (h

ojin

kigy

otok

ei),

Min

istry

of

Fina

nce.

Sum

of p

rofit

s di

vide

d by

sum

of

asse

t.

Ave

rage

m

onth

ly

earn

ings

Ave

rage

mon

thly

ear

ning

s of

the

indu

stry

, inc

ludi

ng

over

time

pay

but

excl

udin

g bo

nus.

Bas

ic S

urve

y of

Wag

e St

ruct

ure,

Min

istry

of

Wel

fare

, Lab

or, a

nd H

ealth

.

Ave

rage

wei

ghte

d by

the

num

ber o

f em

ploy

ees o

f eac

h in

dust

ry.

Unf

illed

va

canc

y ra

te

The

num

ber o

f "U

nfill

ed

vaca

ncie

s (m

ijuso

ku

kyuj

in)"

div

ided

by

the

num

ber o

f em

ploy

ees.

Surv

ey o

f Em

ploy

men

t Tre

nd, M

inis

try o

f W

elfa

re, L

abor

, and

Hea

lth.

Sum

of u

nfill

ed

vaca

ncy

divi

ded

by

sum

of e

mpl

oyee

s.

Page 47: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

46

App

endi

x Ta

ble A

2 Su

mm

ary

stat

istic

s of S

ampl

e fr

om W

orki

ng P

erso

n Su

rvey

use

d in

Tab

le A

3 (in

clud

ing

thos

e w

ho d

id n

ot c

hang

e jo

bs)

All

Job

chan

gers

onl

y A

ll M

ale

Fem

ale

All

Mal

e Fe

mal

eSa

mpl

e si

ze

21,6

3912

,668

8,97

1 7,

667

3,68

1 3,

986

Earn

ings

as o

f sur

vey

429.

6 55

9.3

242.

7 33

3.1

463.

2 21

0.7

Age

in 2

000

30.4

30

.7

30.0

30

.0

29.2

30

.6

Educ

atio

n

Jr

. Hig

h Sc

hool

3.

26%

3.72

%2.

61%

3.3%

4.

59%

2.

11%

Hig

h sc

hool

30

.32%

27.8

%33

.86%

31.9

8%29

.34%

34

.42%

Voca

tiona

l col

lege

(1-3

yr)

14.1

5%12

.09%

17.0

5%17

.26%

15.6

5%

18.7

4%Ju

nior

col

lege

(2yr

; AA

equ

ival

ent)

8.

26%

1.02

%18

.48%

11.1

3%1.

28%

20

.22%

Kos

en (T

ech

colle

ge; A

A e

quiv

alen

t) 1.

55%

2.41

%0.

33%

1.54

%2.

74%

0.

43%

Col

lege

(4ye

ar)

38

.44%

47.2

7%25

.97%

31.9

6%41

.84%

22

.83%

Gra

duat

e sc

hool

4.

03%

5.7%

1.

68%

2.84

%4.

56%

1.

25%

Job

cha

nger

s

35.4

%29

.1%

44.4

%-

- -

Page 48: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

47

Appendix Table A3 Determinants of job changes and inter-industry move All Male Female

Dept. var Job change Inter-ind.

Move Job change

Inter-ind. move

Job change

Inter-ind. move

Female 0.184*** 0.190*** [0.007] [0.007]

ageU15 -0.239*** -0.139*** -0.078*** 0.005 -0.429*** -0.307***(as of 2000) [0.015] [0.014] [0.019] [0.017] [0.022] [0.022] age15_19 -0.014 0.001 0.126*** 0.116*** -0.195*** -0.152***(as of 2000) [0.013] [0.012] [0.016] [0.014] [0.019] [0.020] age20_24 0.122*** 0.071*** 0.219*** 0.155*** -0.019 -0.052** (as of 2000) [0.012] [0.012] [0.016] [0.014] [0.019] [0.020] age25_29 0.089*** 0.046*** 0.169*** 0.101*** -0.027 -0.034* (as of 2000) [0.012] [0.011] [0.015] [0.013] [0.019] [0.020] age30_34 0.048*** 0.024** 0.073*** 0.032*** 0.019 0.022 (as of 2000) [0.012] [0.011] [0.015] [0.012] [0.019] [0.021] age40_44 -0.033** -0.022* -0.002 -0.007 -0.087*** -0.051** (as of 2000) [0.013] [0.012] [0.016] [0.013] [0.021] [0.022] age45_49 -0.041*** -0.035*** 0.058*** 0.039*** -0.185*** -0.142***(as of 2000) [0.013] [0.012] [0.016] [0.013] [0.021] [0.021] age50_54 -0.110*** -0.089*** 0.027 0.016 -0.311*** -0.243***(as of 2000) [0.019] [0.016] [0.023] [0.019] [0.031] [0.029] Junior HS 0.073*** 0.005 0.090*** 0.028 0.052* -0.013

[0.019] [0.018] [0.024] [0.022] [0.030] [0.033] Vocational -0.018* -0.041*** -0.001 -0.026** -0.031** -0.052***(after HS) [0.011] [0.010] [0.015] [0.013] [0.015] [0.016] Jr college -0.016 0.003 0.02 0.027 -0.043*** -0.028*

[0.013] [0.013] [0.041] [0.038] [0.014] [0.015] Tech college -0.022 -0.031 -0.003 0.007 0.036 -0.091

[0.027] [0.024] [0.029] [0.025] [0.083] [0.084] College -0.158*** -0.109*** -0.124*** -0.070*** -0.177*** -0.145***

[0.008] [0.008] [0.010] [0.009] [0.014] [0.014] Grad school -0.209*** -0.162*** -0.175*** -0.128*** -0.259*** -0.201***

[0.017] [0.014] [0.019] [0.015] [0.041] [0.038] Observations 21,639 21,639 12,668 12,668 8,971 8,971 R-squared 0.158 0.109 0.111 0.067 0.135 0.102

Note: Linear regressions with controls for initial industry dummies. Standard errors are in brackets. *, **, and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively. Reference group for education is high school.

Page 49: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

48

App

endi

x Ta

ble A

4a D

eter

min

ants

of s

epar

atio

n an

d hi

ring

rat

es (M

ale)

Se

para

tion

rate

H

iring

rate

A

ge 1

5-19

14

.515

***

14.1

14**

*15

.099

***

15.6

31**

*68

.820

***

68.5

17**

*74

.049

***

73.3

11**

*[1

.283

] [1

.275

] [1

.222

] [1

.156

] [1

.364

] [1

.352

] [1

.708

] [1

.641

] A

ge 2

0-24

11

.301

***

11.2

23**

*11

.296

***

11.3

32**

*28

.234

***

28.9

10**

*29

.743

***

29.7

31**

*[1

.277

] [1

.269

] [1

.216

] [1

.151

] [1

.357

] [1

.345

] [1

.700

] [1

.634

] A

ge 2

5-29

6.

255*

**

6.48

8***

6.39

0***

6.32

5***

8.07

0***

8.58

3***

8.93

8***

8.54

1***

[1.2

77]

[1.2

69]

[1.2

16]

[1.1

51]

[1.3

57]

[1.3

45]

[1.7

00]

[1.6

34]

Age

30-

34

2.70

9**

2.84

1**

2.82

3**

2.48

2**

2.70

8**

2.78

8**

2.81

4*

2.81

5*

[1.2

77]

[1.2

69]

[1.2

16]

[1.1

51]

[1.3

57]

[1.3

45]

[1.7

00]

[1.6

34]

Age

40-

44

-0.7

2 -0

.872

-0

.838

-1

.043

-1

.142

-1

.386

-1

.35

-1.3

55

[1.2

77]

[1.2

69]

[1.2

16]

[1.1

51]

[1.3

57]

[1.3

45]

[1.7

00]

[1.6

34]

Age

45-

49

-0.5

23

-0.7

19

-0.7

91

-0.9

47

-1.6

06

-1.7

91

-1.8

03

-1.7

7 [1

.277

] [1

.269

] [1

.216

] [1

.151

] [1

.357

] [1

.345

] [1

.700

] [1

.634

] A

ge 5

0-54

-0

.143

-0

.374

-0

.534

-0

.568

-2

.491

* -2

.782

**-2

.494

-2

.452

[1

.277

] [1

.269

] [1

.216

] [1

.151

] [1

.357

] [1

.345

] [1

.700

] [1

.634

] A

ge 5

5-59

0.

944

0.66

7 0.

692

0.89

9 -2

.125

-2

.315

* -2

.131

-1

.827

[1

.277

] [1

.269

] [1

.216

] [1

.151

] [1

.357

] [1

.345

] [1

.700

] [1

.634

] TF

P

4.92

2 16

.124

[1

3.20

3]

[14.

037]

R

OA

-0

.339

0.

536*

[0

.283

] [0

.300

] Lo

g av

erag

e ea

rnin

gs

25

.440

* 22

.099

[1

5.42

4]

[21.

549]

U

nfill

ed v

acan

cy ra

te

0.

123

1.15

[0

.572

] [0

.812

] O

bser

vatio

ns

1,48

2 1,

482

1,52

7 1,

743

1,48

2 1,

482

1,52

7 1,

743

R-s

quar

ed

0.29

0.

292

0.30

9 0.

325

0.77

8 0.

782

0.71

4 0.

701

Not

e: D

ata

for s

epar

atio

n an

d hi

ring

rate

s are

take

n fr

om E

mpl

oym

ent T

rend

Sur

veys

200

4-20

08. L

inea

r reg

ress

ions

with

con

trols

for i

ndus

try d

umm

ies a

nd

year

dum

mie

s. St

anda

rd e

rror

s are

in b

rack

ets.

*, *

*, a

nd *

** in

dica

te st

atis

tical

sign

ifica

nce

at th

e 10

%, 5

% a

nd 1

% le

vels

, res

pect

ivel

y.

Page 50: Inter-industry labor reallocation and task distance · Inter-industry labor reallocation and task distance Ayako Kondo* akondo@ynu.ac.jp Saori Naganuma** saori.naganuma@boj.or.jp

49

App

endi

x Ta

ble A

4b D

eter

min

ants

of s

epar

atio

n an

d hi

ring

rat

es (F

emal

e)

Sepa

ratio

n ra

te

Hiri

ng ra

te

Age

15-

19

7.10

7***

7.

439*

**7.

575*

**7.

822*

**66

.429

***

63.5

59**

*63

.437

***

65.4

44**

*[1

.325

] [1

.308

] [1

.200

] [1

.198

] [1

.815

] [1

.513

] [1

.443

] [1

.626

] A

ge 2

0-24

8.

817*

**

9.16

6***

8.91

9***

8.94

5***

17.2

24**

*17

.350

***

17.4

92**

*18

.149

***

[1.3

02]

[1.2

88]

[1.1

90]

[1.1

80]

[1.7

84]

[1.4

90]

[1.4

31]

[1.6

02]

Age

25-

29

9.09

5***

9.

211*

**9.

247*

**9.

253*

**3.

439*

3.

350*

* 3.

526*

* 3.

806*

* [1

.302

] [1

.288

] [1

.190

] [1

.180

] [1

.784

] [1

.490

] [1

.431

] [1

.602

] A

ge 3

0-34

2.

589*

* 2.

606*

* 2.

720*

* 2.

945*

* 0.

369

0.61

8 0.

991

0.47

3 [1

.302

] [1

.288

] [1

.190

] [1

.180

] [1

.784

] [1

.490

] [1

.431

] [1

.602

] A

ge 4

0-44

-3

.170

**

-3.1

68**

-2.8

45**

-2.9

18**

-3.8

83**

-3

.899

***

-4.1

04**

*-3

.381

**

[1.3

02]

[1.2

88]

[1.1

90]

[1.1

80]

[1.7

84]

[1.4

90]

[1.4

31]

[1.6

02]

Age

45-

49

-3.8

81**

* -3

.839

***

-4.5

38**

*-4

.049

***

-7.3

39**

*-7

.185

***

-6.7

37**

*-7

.044

***

[1.3

02]

[1.2

88]

[1.1

90]

[1.1

80]

[1.7

84]

[1.4

90]

[1.4

31]

[1.6

02]

Age

50-

54

-5.2

52**

* -5

.120

***

-4.7

74**

*-5

.017

***

-10.

860*

**-1

0.66

1***

-10.

033*

**-1

0.15

0***

[1.3

02]

[1.2

88]

[1.1

90]

[1.1

80]

[1.7

84]

[1.4

90]

[1.4

31]

[1.6

02]

Age

55-

59

-5.2

63**

* -5

.065

***

-4.8

16**

*-4

.897

***

-12.

436*

**-1

2.15

1***

-11.

667*

**-1

1.47

9***

[1.3

02]

[1.2

88]

[1.1

90]

[1.1

80]

[1.7

84]

[1.4

90]

[1.4

31]

[1.6

02]

TFP

9.

954

-3

.781

[13.

514]

[18.

512]

RO

A

-0

.152

-0.1

01

[0

.289

]

[0.3

35]

Log

aver

age

earn

ings

-15.

743

-1

4.23

5

[15.

093]

[18.

147]

Unf

illed

vac

ancy

rate

-0

.316

-0.8

55

[0

.584

]

[0.7

93]

Obs

erva

tions

1,

475

1,47

6 1,

525

1,73

6 1,

475

1,47

6 1,

525

1,73

6 R

-squ

ared

0.

307

0.31

4 0.

333

0.33

9 0.

677

0.73

7 0.

747

0.68

6 N

ote:

Dat

a fo

r sep

arat

ion

and

hirin

g ra

tes a

re ta

ken

from

Em

ploy

men

t Tre

nd S

urve

ys 2

004-

2008

. Lin

ear r

egre

ssio

ns w

ith c

ontro

ls fo

r ind

ustry

dum

mie

s and

ye

ar d

umm

ies.

Stan

dard

err

ors a

re in

bra

cket

s. *,

**,

and

***

indi

cate

stat

istic

al si

gnifi

canc

e at

the

10%

, 5%

and

1%

leve

ls, r

espe

ctiv

ely.