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Page 1: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Automatic Reaction �

What Happens to Workers at Firms that

Automate?

James Bessen 1 Maarten Goos 2

Anna Salomons 2 Wiljan van den Berge 3

1Boston University TPRI

2Utrecht University

3CPB Netherlands Bureau for Economic Policy Analysis

ECB, 4 July 2019

Page 2: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Introduction

Longstanding concern: Automation threatens work

1. Luddites�Skilled weavers in the 19th century

2. U.S. Labor Secretary James Davis in 1927

3. Lyndon Johnson 1964 �Blue-Ribbon

Presidential Commission on Technology,

Automation, and Economic Progress�

4. Wassily Leontief in 1982:

Role of workers will diminish � like horses

5. At present

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 2 / 55

Page 3: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Introduction

Automation and work

Theory: automation technologies are labor-replacing � may lead to

labor displacement even in aggregate

Autor-Levy-Murnane '03, Acemoglu-Autor '11, Acemoglu-Restrepo '18,

Benzell-Kotliko�-Lagarda-Sachs '18, Martinez '19, Susskind '17

Existing empirical evidence on automation studies the (mostly

aggregate) impact of the adoption of robots (mostly in manufacturing

sectors):

Acemoglu-Restrepo '18, Dauth-Findeisen-Suedekum-Woessner '18,

Graetz-Michaels '18, Koch-Manuylov-Smolka '19

Lack empirical evidence on how automation impacts individual

workers

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 3 / 55

Page 4: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Introduction

Contributions of this paper

Examine worker-level impacts of automation

Directly measure �rm-level automation expenditures across all private

non-�nancial sectors

Exploit the timing of automation events at the �rm level for empirical

identi�cation

Compare the worker impacts of automation and computerization

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 4 / 55

Page 5: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Introduction

Preview of main �ndings

1 Automation leads to displacement for incumbent workers

Firm separation ↑ → Non-employment ↑ → Annual earnings ↓

No wage scarring, but earnings losses only partially o�set by bene�ts

2 A�ected workers more likely to switch industries and enter early

retirement

3 E�ects are pervasive across industries and worker types

4 Automation appears to be more labor-displacing than

computerization

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 5 / 55

Page 6: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Data sources

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 6 / 55

Page 7: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Data sources

Agenda

1 Introduction

2 Data

Data sources

Summary statistics for automation costs

3 Empirical approach

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 7 / 55

Page 8: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Data sources

Data sources from Statistics Netherlands

Annual survey of private non-�nancial �rms (covers all �rms with

>50 employees and samples smaller �rms) which includes a question on

automation costs

Administrative daily matched employer-employee records

Years 2000-2016

36K unique �rms with at least 3 yrs of automation cost data

employing 4.9M workers annually on average

Data cleaning

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 8 / 55

Page 9: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Data sources

Automation costs

Automation costs are an o�cial bookkeeping entry

De�ned as costs of third-party automation services

Includes expenditures on custom software (excl. licensing costs for

pre-packaged software)

Don't know the speci�c technology but includes self-service check-out,

warehouse and storage systems, automated customer service,

data-driven decision making, robot integrators, ...

Expenditures at the �rm level and in all (non-�nancial private)

sectors

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 9 / 55

Page 10: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Summary statistics for automation costs

Agenda

1 Introduction

2 Data

Data sources

Summary statistics for automation costs

3 Empirical approach

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 10 / 55

Page 11: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Summary statistics for automation costs

Firm-level automation cost distributions

Total cost Cost Cost

cost (e) per worker (e) share (%)

p5 0 0 0

p10 0 0 0

p25 0 0 0

p50 10,508 257 0.15

p75 48,000 899 0.47

p90 175,083 2,058 1.05

p95 412,945 3,305 1.69

mean 192,390 953 0.44

mean excl. zeros 280,703 1,391 0.64

N �rms × years 240,337

N with 0 costs 31%

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 11 / 55

Page 12: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Summary statistics for automation costs

Mean �rm-level automation costs by sector by �rm size

Cost Cost

Sector per worker (e) share (%) N Firm x yr

Manufacturing 986 0.36 44,636

Construction 415 0.20 28,774

Wholesale & retail trade 1,075 0.31 75,421

Transportation & storage 834 0.42 21,235

Accommodation & food serving 220 0.29 6,761

Information & communication 1,636 0.85 16,854

Prof'l, scienti�c, & techn'l act's 1,174 1.02 23,692

Admin & support act's 761 0.49 22,964

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 12 / 55

Page 13: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Data Summary statistics for automation costs

Automation costs per worker over time

050

010

0015

0020

0025

00A

utom

atio

n co

st p

er w

orke

r (re

al e

uros

)

2000 2005 2010 2015Year

p25 p50 meanp75 p95

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 13 / 55

Page 14: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach De�ning automation spikes

Agenda

1 Introduction

2 Data

3 Empirical approach

De�ning automation spikes

How do �rms with automation spikes di�er?

An event-study DiD design

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 14 / 55

Page 15: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach De�ning automation spikes

De�ning automation spikes

Firm j has automation cost share spike in year τ if its real automation

costs ACjτ relative to real total operating costs (excl. automation

costs) averaged across all years are at least thrice the average �rm-level

cost share (excluding year τ):

spikejτ = 1

{ACjτ

TC j,t

≥ 3× AC j,t 6=τ

TC j,t

}where 1{. . .} denotes the indicator function

Firm-speci�c measure: identi�es automation events that are large for

the �rm, independent of �rm's initial automation expenditure level

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 15 / 55

Page 16: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach De�ning automation spikes

Automation spike frequencies

Spike frequency

over 2000-2016 N �rms % of N �rms

0 26,015 71.3

1 8,411 23.0

2 1,764 4.8

3 267 0.7

4 30 0.1

5 4 0.0

Total 36,491 100.0

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 16 / 55

Page 17: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach De�ning automation spikes

Automation cost shares for spikers: spikes are events0

.2.4

.6.8

11.

21.

4Au

tom

atio

n co

st s

hare

, per

cent

-16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16Time relative to largest automation spike

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 17 / 55

Page 18: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach De�ning automation spikes

Why do �rms experience automation spikes?

Spikes → investment is lumpy: signi�cant share of investment occurs

in episodes of disproportionately large quantities

Spikes arise when investment is irreversible and there are

indivisibilities

Under uncertainty, irreversibility creates option value to waiting (Pindyck

'91, Nilsen-Schiantarelli '03)

Indivisibilities arise from �xed adjustment costs

(Cooper-Haltiwanger-Power '99, Doms-Dunne '98, Rothschild '71).

Major automation investments likely include:

Substantial irreversible investments in custom software and training;

Fixed adjustment costs from reorganizing production.

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 18 / 55

Page 19: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach How do �rms with automation spikes di�er?

Agenda

1 Introduction

2 Data

3 Empirical approach

De�ning automation spikes

How do �rms with automation spikes di�er?

An event-study DiD design

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 19 / 55

Page 20: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach How do �rms with automation spikes di�er?

How do �rms with automation spikes di�er?

Mean automation cost:

Firm type level (e) per worker (e) share (%)

No automation spike 245,070 1,389 0.62

≥1 automation spike 359,797 2,547 1.29

for 36K �rms with at least 3 yrs of automation cost data

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 20 / 55

Page 21: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach How do �rms with automation spikes di�er?

Log number of employees

66.

16.

26.

36.

46.

5Lo

g av

erag

e nu

mbe

r of w

orke

rs a

t firm

2000 2005 2010 2015year

Firms with automation eventFirms without automation event

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 21 / 55

Page 22: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

Agenda

1 Introduction

2 Data

3 Empirical approach

De�ning automation spikes

How do �rms with automation spikes di�er?

An event-study DiD design

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 22 / 55

Page 23: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

Leveraging automation cost spikes for identi�cation

Automation cost spikes are a big event for the �rm (no

�run-of-the-mill� automation), aiding identi�cation

Assume timing of automation spikes is random (conditional on

observables) for incumbent workers

Related event study approaches: Borusyak-Jaravel '18;

Duggan-Garthwaite-Goyal '16; Fadlon-Nielsen '17; He '18; Miller '17;

Lafortune-Rothstein-Schanzenbach '18;

Dobkin-Finkelstein-Kluender-Notowidigdo '18

Uncertainty & indivisibility → small ∆ in payo� to automating can

generate substantial ∆ in the timing of investment (Bessen '99)

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 23 / 55

Page 24: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

De�ning treatment and controls

Incumbent workers at a �rm are treated in year τ if that �rm

undergoes an automation spike in year τ

Incumbent workers employed at �rms that spike at τ + k or later are

used as controls for the years τ − k − 1, where we choose k = 5

De�ne incumbent workers: ≥ 3 yrs of �rm tenure prior to the

automation event (cf. mass lay-o� literature)

Matching controls and treated on pre-treatment income, sector, and

calendar year (using CEM, see Blackwell-Iacus-King-Porro '09,

Iacus-King-Porro '12) Matching details

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 24 / 55

Page 25: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

Empirical model

Estimating equation:

yijt = α + βFi +4∑

t 6=−1;t=−3

γt × It +4∑

t 6=−1;t=−3

δtδtδt × It × treati + λXijt + εijt ,

i indexes workers, j �rms, and t time measured relative to automation

event in year τ , i.e. t ≡ year − τ

Fi is a worker �xed-e�ect

It is a time �xed-e�ect relative to the event year, with t ∈ {−3, 4}, andt = −1 as reference category

treati is treatment indicator = 1 if worker i is employed at a �rm

experiencing an automation event at t = 0

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 25 / 55

Page 26: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

Empirical model

yijt = α + βFi +4∑

t 6=−1;t=−3

γt × It +4∑

t 6=−1;t=−3

δtδtδt × It × treati + λXijt + εijt ,

Parameters of interest are δt : period t treatment e�ect relative to

pre-treatment period t = −1

Xijt are time-varying controls: worker age, age2, year �xed e�ects

Standard errors clustered at the treatment level (i.e. event windows

for all workers employed at the same �rm in t − 1 are one cluster)

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 26 / 55

Page 27: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

Automation events for treated �rms0

.2.4

.6.8

11.

2Au

tom

atio

n co

st s

hare

, per

cent

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 27 / 55

Page 28: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Empirical approach An event-study DiD design

Automation events for treated �rms0

500

1000

1500

2000

Rea

l aut

omat

ion

cost

s pe

r wor

ker

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 28 / 55

Page 29: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

Annual wage income

Firm separation, non-employment, and wage rates

Other adjustment margins and e�ect heterogeneity

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 29 / 55

Page 30: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts Annual wage income for incumbent workers

Annual wage income, percentages

-5-4

-3-2

-10

12

Ear

ning

s re

lativ

e to

t=-1

ear

ning

s (%

)

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

323 euros lost in treatment year, 3,839 euros after 5 years in totalBessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 30 / 55

Page 31: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts Annual wage income for incumbent workers

Annual wage income (%): Randomization test

0.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.95 0.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.77 0.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.14 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.02 0.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.95 0.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.77 0.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.14 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0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 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0.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.77 0.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.14 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 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0.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.95 0.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.77 0.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.14 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0.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.02 0.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.95 0.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.77 0.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.14 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.02 0.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.950.95 0.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.770.77 0.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.140.14 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0.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.020.02 0.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

-6-4

-20

24

Est

imat

e fo

r rel

ativ

e ea

rnin

gs(b

lack

for t

reat

men

t, gr

ay fo

r per

mut

atio

ns)

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 31 / 55

Page 32: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts Annual wage income for incumbent workers

Robustness to other events: Annual wage income (%)

-5-4

-3-2

-10

12

Rel

ativ

e ea

rnin

gs (%

) for

incu

mbe

nts

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Baseline resultsFirm-level matching Excl. outliers in- & outside windowExcl. firm events Excl. outliers inside window

Robustness to changes in spike de�nition and model speci�cation

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 32 / 55

Page 33: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts Firm separation, non-employment, and wage rates

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

Annual wage income

Firm separation, non-employment, and wage rates

Other adjustment margins and e�ect heterogeneity

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 33 / 55

Page 34: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts Firm separation, non-employment, and wage rates

Firm separation, hazard rates robustness

-20

24

6P

roba

bilit

y to

leav

e fir

m, p

erce

ntag

e po

ints

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

Hazard rates for CG incumbents are 9.6% in t=0 and 8.8% in t=4 (40%↑)

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 34 / 55

Page 35: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Worker-level impacts Firm separation, non-employment, and wage rates

Annual days in non-employment robustness

-2-1

01

23

45

67

8N

on-e

mpl

oym

ent d

urat

ion

in d

ays

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

Annual non-employment days for CG incumbents are 5.7 in t=0 and 28 in t=4 (20%↑)

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Worker-level impacts Firm separation, non-employment, and wage rates

Log daily wage robustness

-2-1

01

2Lo

g da

ily w

age

if em

ploy

ed, l

og p

oint

s

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

Wage change in log points for CG incumbents is 1.8 in t=0 and 5.4 in t=4

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Worker-level impacts Other adjustment margins and e�ect heterogeneity

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

Annual wage income

Firm separation, non-employment, and wage rates

Other adjustment margins and e�ect heterogeneity

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

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Worker-level impacts Other adjustment margins and e�ect heterogeneity

Probability of switching industries

-20

24

68

10P

roba

bilit

y to

sw

itch

indu

stry

, per

cent

age

poin

ts

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

Industry switch probability for CG incumbents is 7% in t=0 and 30% in t=4 (20%↑)

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Worker-level impacts Other adjustment margins and e�ect heterogeneity

Annual total bene�t income, levels split by bene�t source

-100

-50

050

100

150

200

250

300

Ann

ual b

enef

it am

ount

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

Annual bene�t income for CG incumbents is EUR 186 in t=0 and EUR 781 in t=4

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Worker-level impacts Other adjustment margins and e�ect heterogeneity

Probability of early retirement

-.20

.2.4

.6P

roba

bilit

y of

ear

ly re

tirem

ent,

perc

enta

ge p

oint

s

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Point estimate 95% CI

Early retirem. probability for CG incumbents is 0.2% in t=0 and 1.5% in t=4 (18%↑)

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Worker-level impacts Other adjustment margins and e�ect heterogeneity

E�ect heterogeneity

Displacement e�ects for incumbent workers pervasive across: estimates

sectors (exception: Accommodation & food serving)

�rm sizes

worker age & gender

workers' age-speci�c wage ranks (�skill level�)

No displacement e�ects for the �rm's more recent pre-event hiresestimates

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 41 / 55

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Firm-level changes

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

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Firm-level changes

Employment for treated and control group �rms

9095

100

105

110

Num

ber o

f em

ploy

ees,

sca

led

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Treated firms Control group firms

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Firm-level changes

Mean daily wage for treated and control group �rms

100

102

104

106

108

Wag

e, s

cale

d

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Treated firms Control group firms

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Firm-level changes

Total revenue for treated and control group �rms

100

110

120

130

140

Rev

enue

, sca

led

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Treated firms Control group firms

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Firm-level changes

Revenue per worker for treated and control group �rms

100

110

120

130

140

Rev

enue

per

wor

ker,

scal

ed

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Treated firms Control group firms

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 46 / 55

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Automation versus computerization

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

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Automation versus computerization

Comparison to computerization

Are displacement e�ects speci�c to automation?

Compare worker-level impacts to other technology

Use partially overlapping �rm survey on computer investments

�All data-processing electronic equipment insofar as they can be freely

programmed by the user, including all supporting appliances.�

Use same event study DiD design to study computerization

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Automation versus computerization

Summary statistics on overlapping sample

Automation cost (e) Computer investment (e)level per worker level per worker

p5 0 0 0 0

p10 0 0 0 0

p25 0 0 0 0

p50 16,747 297 5,554 99

p75 69,617 957 31,042 447

p90 241,274 2,175 112,889 1,126

p95 568,915 3,518 250,652 1,868

mean 249,275 1,032 99,666 559

mean excl. zeros 346,396 1,434 155,619 873

N �rms × yrs 171,549

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Automation versus computerization

Automation costs & computer investments by sector

over time

Autom. cost Comp. inv. Autom. N Firms

Sector per worker (e) per worker (e) to comp. × yrs

Manufacturing 998 369 2.7 40,773

Construction 497 215 2.3 18,319

Wholesale & retail trade 1,152 544 2.1 50,381

Transportation & storage 917 456 2.0 15,834

Accommodation & food serving 256 151 1.7 4,462

Information & communication 2,030 2,420 0.8 9,756

Prof'l, scienti�c, & techn'l act's 1,272 772 1.6 14,708

Admin & support act's 863 388 2.2 17,316

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Automation versus computerization

Spike frequencies, overlapping sample

Percentage of �rms with event type:

Nr of events Automation Computerization

0 71.8 47.9

1 22.5 41.9

2 4.8 9.1

3 0.7 1.1

4 0.1 0.1

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Automation versus computerization

Computer investment event spikes, estimation sample

030

060

090

012

0015

0018

00R

eal c

ompu

ter i

nves

tmen

t per

wor

ker,

perc

ent

-3 -2 -1 0 1 2 3 4Time relative to largest computer investment spike

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Automation versus computerization

Automation versus computerization

-7-6

-5-4

-3-2

-10

1R

elat

ive

earn

ings

(%) f

or in

cum

bent

s

-3 -2 -1 0 1 2 3 4Time relative to largest automation or computer spike

Computerization excl. automationAutomation excl. computerization

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 53 / 55

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Conclusions

Agenda

1 Introduction

2 Data

3 Empirical approach

4 Worker-level impacts

5 Firm-level changes

6 Automation versus computerization

7 Conclusions

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 54 / 55

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Conclusions

Conclusions

1 Automation leads to displacement for incumbent workers

Firm separation ↑ → Non-employment ↑ → Annual earnings ↓

No wage scarring, but earnings losses only partially o�set by bene�ts

2 A�ected workers more likely to switch industries and enter early

retirement

3 E�ects are pervasive across industries and worker types

4 Automation appears to be more labor-displacing than

computerization

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Appendices

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Appendix: Data cleaning

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Data cleaning

We remove the following observations:

Workers enrolled in full-time studies earning either less than EUR 5K

annually or EUR 10 daily on average across the year

Workers with earnings above EUR 500K annually or EUR 2K daily on

average across the year

Later, we further exclude workers at �rms that have:

Not a single spike in automation cost shares

No event window (7 yrs of consecutive data)

Other events in the event window (mergers, takeovers, splits,

restructuring)

Large (>90%) annual employment changes in the event window or also

outside the event window

Go Back

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Estimation sample

36K unique �rms have at least 3 yrs of automation cost data

Of those, there are 10K unique �rms that have at least one automation

spike

Of those, the estimation sample are 6K unique �rms that have at

least 7 yrs of consecutive data, i.e. have an event window

Those 6K �rms employ 1M unique incumbent workers annually on

average, resulting in 8.4M worker-year observations in our estimations

The estimation sample consists of 2K treated �rms that have

observations 3 yrs before and 4 yrs after their spike (that spike between

2003-2011) Go Back

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Appendix: Matching details

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CEM statistics

Coarsened Exact Matching (CEM):

1 In each of the three pre-treatment years, separate strata for each 5

percentiles of annual wage + separate bins for the 99th and 99.5th

percentiles

2 One year prior to treatment, matched workers must be observed in the

same calendar year and work in the same sector

30,247 strata

98% of treated incumbents are matched; and 93% of control group

incumbents are assigned a non-zero weight

Go Back

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Appendix: Further summary statistics

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Automation costs by �rm size

Go Back

Cost per worker (e) Cost share (%) Nr of obs

Firm size class Mean SD Mean SD Firm × yr

1-19 employees 1,114 18,317 0.40 1.27 51,128

20-49 employees 803 4,426 0.42 1.23 86,036

50-99 employees 817 3,142 0.42 1.23 45,797

100-199 employees 930 2,452 0.44 0.92 29,073

200-499 employees 1,186 3,905 0.52 1.17 17,694

≥500 employees 1,656 6,884 0.74 1.53 10,609

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Computer investment per worker over time Go Back

050

010

0015

0020

00C

ompu

ter i

nves

tmen

t per

wor

ker (

real

eur

os)

2000 2005 2010 2015Year

p25 p50 meanp75 p95

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Appendix: Further robustness checks

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 10 / 23

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Robustness to spike de�nition: Annual wage (%) Go Back

-5-4

-3-2

-10

12

Rel

ativ

e ea

rnin

gs (%

) for

incu

mbe

nts

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Baseline results AC/worker, pre-event emp dataAC/worker, full emp data AC/worker

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Robustness to model spec.: Annual wage (%) Go Back

-5-4

-3-2

-10

12

Rel

ativ

e ea

rnin

gs (%

) for

incu

mbe

nts

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Baseline results Matching worker tenureMatching firm size No individual FE

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 12 / 23

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Randomization test: Firm separation Go Back

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0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00 0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00

-4-2

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-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 13 / 23

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Robustness to other events: Firm separation Go Back

-20

24

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-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Baseline resultsFirm-level matching Excl. outliers in- & outside windowExcl. firm events Excl. outliers inside window

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 14 / 23

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Robustness to spike de�nition: Firm separation Go Back

-2-1

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-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Baseline results AC/worker, pre-event emp dataAC/worker, full emp data AC/worker

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 15 / 23

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Robustness to model spec.: Firm separation Go Back

-2-1

01

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-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Baseline results Matching worker tenureMatching firm size

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 16 / 23

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Non-employment estimates, randomization test Go Back

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Daily wage estimates, randomization test Go Back

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0.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.50 0.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.40 0.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.29 0.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.48 0.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.50 0.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.40 0.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.29 0.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.48 0.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.50 0.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.40 0.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.29 0.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.48 0.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.50 0.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.40 0.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.29 0.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.480.48 0.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.500.50 0.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.400.40 0.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.630.63 0.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.290.29

-3-2

-10

12

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-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 18 / 23

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Appendix: Further estimates

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 19 / 23

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Annual bene�t income split Go Back

-100

010

020

030

0A

nnua

l ben

efit

amou

nt

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Total benefits Unemployment benefitsWelfare Disability benefits

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 20 / 23

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Heterogeneity in average annual wage impact Go Back

(1) Age (3) Gender

Age <30 (ref) -1.84 Male (ref) -1.52***

(3.19) (0.57)

Deviations from reference group for: Deviations from reference group for:

Age 30-39 -0.24 Female -1.39

(3.73) (0.97)

Age 40-49 0.42 (4) Sector

(3.60) Manufacturing (ref) -1.98**

Age 50+ -1.20 (0.99)

(3.94) Deviations from reference group for:

(2) Firm size Construction 1.05

500+ employees (ref) -1.53 (1.73)

(1.35) Wholesale & retail trade -2.23

Deviations from reference group for: (1.51)

200-499 employees 1.21 Transportation & storage 0.71

(1.77) (1.79)

100-199 employees -2.19 Accommodation & food serving 4.57**

(1.77) (2.32)

50-99 employees 0.17 Information and communication -0.25

(1.57) (1.76)

20-49 employees -2.18 Prof'l, scienti�c, & techn'l act's -0.24

(1.46) (1.80)

1-19 employees -2.06 Administrative & support act's 1.55

(1.52) (2.01)

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 21 / 23

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Heterogeneity in average annual wage impact Go Back

(1) Overall age-speci�c wage quartile (2) Within-�rm age-speci�c wage quartile

Bottom quartile (ref) -2.26* Bottom quartile (ref) -1.06

(1.20) (1.26)

Deviations from reference group for: Deviations from reference group for:

Second quartile 0.17 Second quartile -1.37

(1.10) (1.12)

Third quartile 0.48 Third quartile -0.75

(1.39) (1.31)

Top quartile 0.09 Top quartile -1.62

(1.65) (1.56)

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 22 / 23

Page 78: Automatic Reaction – What Happens to Workers at Firms that ... · Directly measure rm-level automation expenditures across all private non- nancial sectors Exploit the timing of

Annual earnings for incumbents vs. recent hires Go Back

-6-5

-4-3

-2-1

01

23

4E

arni

ngs

rela

tive

to t=

-1 e

arni

ngs

(%)

-3 -2 -1 0 1 2 3 4Time relative to largest automation spike

Incumbents Recent hires

Bessen, Goos, Salomons, van den Berge Automatic Reaction ECB, 4 July 2019 23 / 23


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