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The effects of outsourcing on unemployment Jan Mhlmann Joint work - - PowerPoint PPT Presentation

The effects of outsourcing on unemployment Jan Mhlmann Joint work with Stefan Groot The Hague, 13 March 2013 Motivation Outsourcing leads to further fragmentation of the production process (output : value added went from 3.4 to 4.4 in


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SLIDE 1

The effects of outsourcing on unemployment

The Hague, 13 March 2013

Jan Möhlmann

Joint work with Stefan Groot

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SLIDE 2
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SLIDE 3

Motivation

 Outsourcing leads to further fragmentation of the

production process (output : value added went from 3.4 to 4.4 in past 20 years)

 Allows more specialisation and productivity

increases in the long run

 Can have distributional effects and cause temporary

unemployment

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SLIDE 4

Aims

 Analysing the hazard rate of becoming

involuntary unemployed, and the probability of finding a new job after becoming unemployed

 In particular, we look at the effects of

  • utsourcing (domestic and international)
  • n these hazard rates
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SLIDE 5

Outline

 Data and stylized facts

  • outsourcing survey
  • unemployment data

 Methodology

  • Cox proportional hazard model

 Estimation results

  • hazard rate of becoming unemployed
  • probability of finding a new job

 Conclusions

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SLIDE 6

Outsourcing survey

 Survey on outsourcing, by Eurostat in 2007  ± 1000 firms (with > 100 employees)  Binary measure:

“did you outsource between 2001-2006, yes/no?”

 Distinction made between domestic and international

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 7

Outsourcing shares (2001 – 2006) by size classes (2007) and destination

About 26% of the firms outsourced some of its activities between 2001-2006

0% 5% 10% 15% 20% 25% 30% 35% 40% Q1 Q2 Q3 Q4 Q5 both

  • utsourced internationally
  • utsourced domestically
  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 8

Outsourcing shares (2001 – 2006) by destination

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 9

Unemployment data

 Tax data (SSB-Banen) contain information on all

matches between employers and employees (2000- 2008)

 These data can‟t distinguish between voluntary and

involuntary unemployment

 Therefore we use data on unemployment benefits (SSB-

WW)

 Merged with jobs based on end-date of job and start-

date of unemployment benefits

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 10

Outline

 Data and stylized facts

  • outsourcing survey
  • unemployment data

 Methodology

  • Cox proportional hazard model

 Estimation results

  • hazard rate of becoming unemployed
  • probability of finding a new job

 Conclusions

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SLIDE 11

Cox proportional hazard model

 This is a duration model, that explains the hazard rate

conditional on the duration

 For example: ht is the probability of becoming

unemployed shortly after „surviving‟ for period t.

 The hazard rate is explained by:

  • (i) a base hazard rate that varies over time
  • (ii) a linear function of some explanatory variables
  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 12

Cox proportional hazard model

 Every job (fiscal relation between employer and employee) is

an observation

 For each job the model needs the duration and failure

(yes/no)

 A job can end in three ways:

  • (i) involuntary (failure)
  • (ii) voluntary (no failure)
  • (iii) still exists in 2008 (no failure)

 A job only affects the estimation results up until the duration

  • f the job
  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 13

Base hazard rate

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 14

Outline

 Data and stylized facts

  • outsourcing survey
  • unemployment data

 Methodology

  • Cox proportional hazard model

 Estimation results

  • hazard rate of becoming unemployed
  • probability of finding a new job

 Conclusions

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SLIDE 15

Becoming unemployed

no outsourcing vs outsourcing

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 16

Becoming unemployed

no outsourcing vs outsourcing no outsourcing vs domestic

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 17

Becoming unemployed

0.5 1 1.5 2 2.5 3 female foreign employee (high income country) foreign employee (low income country)

  • utsourced

internationally

  • utsourcing

domestically

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 18

Becoming unemployed

Interaction with wage quartiles (boundaries are 28k, 38k, 54k in 2008 wages):

  • Data
  • Method
  • Results
  • Conclusions

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 Q1 (no) Q2 (no) Q3 (no) Q4 (no) Q1 (dom) Q2 (dom) Q3 (dom) Q4 (dom) Q1 (int) Q2 (int) Q3 (int) Q4 (int)

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SLIDE 19

Finding a new job

no outsourcing vs outsourcing

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 20

Finding a new job

no outsourcing vs outsourcing no outsourcing vs international

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 21

Finding a new job

0.6 0.7 0.8 0.9 1 1.1 1.2 female foreign employee (high income country) foreign employee (low income country)

  • utsourced

internationally

  • utsourcing

domestically

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 22

Outline

 Data and stylized facts

  • outsourcing survey
  • unemployment

 Methodology

  • Cox proportional hazard model

 Estimation results

  • hazard rate of becoming unemployed
  • probability of finding a new job

 Conclusions

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SLIDE 23

Conclusions (i)

 Hazard rate for involuntary unemployment seems to

follow U-shape

 Controlling for duration, risk is higher for women and

foreign employees

 Different effects for domestic outsourcing (52% more

risk) and international outsourcing (32% less risk)

 Domestic outsourcing increases hazard rate particularly

for lower income groups

  • Data
  • Method
  • Results
  • Conclusions
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Conclusions (ii)

 Probability of finding a new job is lower for woman and

foreign employees

 Former employees of firms that outsourced

internationally have about 10% less chance of finding a new job

  • Data
  • Method
  • Results
  • Conclusions
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SLIDE 25

The effects of outsourcing on unemployment

The Hague, 13 March 2013

Jan Möhlmann

Joint work with Stefan Groot