SlideShare a Scribd company logo
1 of 13
Download to read offline
Labor reallocation and demographics
Labor reallocation and demographics
Evidence from the Life in Transition Survey
Joanna Tyrowicz
Lucas van der Velde
GRAPE
Group for Research in APplied Economics
July 2015,
EACES-HSE, Moscow
Labor reallocation and demographics
Introduction
Introduction
Motivation
Transition theories better than universal labor market theories?
The missing link of demographic changes
Our goal: to understand better worker flows in transition
economies
What flows prevailed during transition?
What was the role played by demographic changes?
Advantage: new, comprehensive retrospective data: Life in
Transition Survey (EBRD)
Labor reallocation and demographics
Introduction
Countries analyzed
Year N 89 90 91 92 93 94 95 96 97 98 99 00 01 02
Estonia 2 + + + + + + + + + +
Russia 2 + + + + + + + + + + +
Ukraine 3 + + + + + + + + +
Bulgaria 1 + + + +
Poland 3 + + + + + + +
Romania 1 + + +
Slovenia 2 + + + + + +
Slovakia 1 + + + + + + +
Czech Rep. 2 + + + + +
Hungary 3 + + +
Labor reallocation and demographics
Introduction
Countries (not) analyzed
Year N 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04
Albania
Armenia
Azerbeijan
Bulgaria 1 + + + +
Belarus
Croatia
Czech Republic 2 + + + + +
Estonia 2 + + + + + + + + + +
Georgia
Hungary 2 + + +
Kazakhstan
Kyrgistan
Latvia
Lithuania
Macedonia
Moldova
Montenegro
Poland 3 + + + + + + +
Romania 1 + + +
Russia 2 + + + + + + + + + + + +
Slovenia 2 + + + + + +
Slovakia 1 + + + + + + + + +
Serbia
Tajikistan
Ukraine 3 + + + + + + + + +
Uzbekistan
Labor reallocation and demographics
Introduction
Three stories of reallocation
Aghion and Blanchard (1994) → public to private flows.
Cabalero and Hammour (various papers) → Inter-industry
reallocation.
Demographic transition.
Common challenges in applying these theories to data
1 Distinguish between worker flows (gross) and job flows (gross)
and change in employment structure (net)
2 Privatization vs. de novo firms might have different impact
3 What if a worker holds more than one job in the period?
Labor reallocation and demographics
Hypotheses
Our statements to be tested
1 Flows during transition were generally AB, later intensifying
CH
2 Reallocation affected labor supply
Labor reallocation and demographics
Data and methods
Data source: Life in Transition Survey
27 transition countries
18 years: 1989 - 2006
Standardized survey (EBRD 2006)
Retrospective, covers years from 1989 to 2006
Limitations: recall and survival bias, no data on wages
Labor reallocation and demographics
Data and methods
LiTS in perspective
Country Year
Services Industry Private Services Industry Private
(LFS) (LFS) (SES) (LiTS) (LiTS) (LiTS)
Bulgaria
2000 51.8 39.6 57.2 36.0 48.7
2002 54.9 38.3 55.9 60.0 34.4 53.5
Estonia
1997 53.1 33.1 58.4 30.6 52.7
2002 56.0 32.9 91.8 59.8 30.9 62.2
Latvia
1998 47.4 30.1 67.1 23.6 51.2
2002 49.0 27.7 88.0 67.1 24.4 59.7
Poland
2000 46.1 40.1 59.6 34.6 50.0
2002 51.5 37.8 47.1 59.0 34.3 53.4
Romania
1997 48.4 22.8 54.1 39.7 44.2
2002 58.0 24.7 65.3 58.8 36.1 54.8
Slovakia
1998 50.2 29.2 62.6 30.1 39.7
2002 52.7 27.7 63.0 65.6 28.6 45.9
Note: Own calculation on the basis of data from LiTS, the EU-Labour Force Surveys
(LFS) and the Structure of Earnings Survey (SES).
Labor reallocation and demographics
Data and methods
Definitions
AB: public ⇒ private sector (within the same industry)
CH: manufacturing ⇒ services (within the same sector)
ABCH: public manufacturing ⇒ private services
OPPOSITE: private service ⇒ public manufacturing
SAME: within sector and industry
EXIT: To retirement
ENTRY: Into employment
Labor reallocation and demographics
Results
Our statements to be tested
1 Flows during transition were generally AB or CH
2 Reallocation affected labor supply
Labor reallocation and demographics
Results
H1: which flows dominated in transition?
Labor reallocation and demographics
Results
H1: Flows from (and into) the state sector
Labor reallocation and demographics
Results
H1: Flows from (and into) the private sector
Labor reallocation and demographics
Results
On the timing of transition
Flow/year AB CH SAME ENTRY EXIT
1990 base level
1991 1.000* 0.111 0.667 0.556 1.296
1992 1.593*** 0.333 2.037*** 0.370 0.111
1993 1.926*** 0.407* 2.074*** -0.074 -0.148
1994 1.556** 0.185 2.148*** -0.000 -1.630*
1995 1.444** 0.296 3.148*** 0.148 -1.148
1996 1.778*** 0.778*** 3.852*** 0.444 -1.259
1997 1.074* 0.185 3.074*** -0.037 -2.407**
1998 1.778*** 0.333 2.667*** 0.037 -2.111**
1999 0.593 0.407* 3.148*** -0.481 -2.111**
2000 1.222** 0.407* 4.370*** 0.185 -1.519
2001 1.630*** 0.741*** 4.333*** 0.185 -2.296**
2002 0.593 0.481** 2.889*** 0.556 -2.963***
2003 0.148 0.667*** 4.333*** 0.667 -2.519***
2004 0.889 0.889*** 5.296*** 1.000* -1.889*
2005 0.852 1.000*** 4.630*** 2.185*** -2.000**
2006 0.741 1.296*** 6.148*** -0.370 -4.370***
# of obs. 459 459 459 459 459
R2 0.640 0.538 0.887 0.774 0.827
Labor reallocation and demographics
Results
Our statements to be tested
1 Flows during transition were generally AB or CH
2 Reallocation affected labor supply
Labor reallocation and demographics
Results
Sample characteristics
All Under 45 Over 45
Mean S.D. Mean S.D. Mean S.D.
Time to event 10.698 6.759 7.639 4.417 16.632 6.565
Individual characteristics
Female 0.563 0.496 0.572 0.495 0.546 0.498
Secondary education 0.577 0.494 0.615 0.487 0.505 0.5
Tertiary education 0.251 0.434 0.269 0.444 0.216 0.412
Married 0.63 0.483 0.68 0.467 0.532 0.499
Urban 0.676 0.468 0.662 0.473 0.704 0.457
Last employment
Manufacturing 0.283 0.451 0.271 0.444 0.307 0.461
Public 0.749 0.434 0.698 0.459 0.848 0.359
Employment structure (at retirement)
Share private firms 0.233 0.081 0.243 0.078 0.212 0.082
Share new private firms 0.239 0.109 0.275 0.085 0.169 0.117
Share manufacturing 0.207 0.062 0.195 0.055 0.229 0.07
Labor reallocation and demographics
Results
H2: When do we leave?
All 44 or younger 1989 45 or older 1989
Female -0.212*** -0.121*** -0.160***
(0.015) (0.028) (0.015)
Secondary Education -0.072*** 0.045 -0.037**
(0.017) (0.033) (0.017)
Tertiary education 0.053** 0.161*** 0.049**
(0.023) (0.044) (0.021)
Manufacturing -0.069*** -0.060** -0.041***
(0.015) (0.027) (0.015)
Public -0.039* -0.059* -0.030
(0.021) (0.034) (0.021)
Share of privatized firms -1.259*** -0.052 -0.325
(0.205) (0.306) (0.216)
Share of de novo private firms 3.131*** 4.684*** 2.768***
(0.101) (0.217) (0.095)
Share manufacturing -2.551*** -6.444*** -3.061***
(0.245) (0.460) (0.267)
Share private sector 0.558*** -0.935*** -0.239
(0.216) (0.342) (0.225)
Share manufacturing 1.673*** 3.199*** 2.226***
(0.225) (0.337) (0.251)
Labor reallocation and demographics
Results
Which characteristics have more explanatory power?
Controls Model 1 Model 2 Model 3 Model 4
Demographics, education, residence Yes Yes Yes Yes
Employment structure:
- prior to retirement (last employment) Yes Yes
- in the period of retirement Yes Yes
Log likelihood -3 868 -3 801 -2 646 -2 635
LL test (compared to 1) 134.00* 2 443.00* 2466.00*
LL test (compared to 4) 2466.00* 2332.00* 23.00*
Notes: * denotes results significant at the 5% confidence level. All models have
country specific fixed effects.
Labor reallocation and demographics
Conclusions
Summarizing
1 AB and CH movements are the smallest part of transition.
2 School-to-work transition very important for transformation.
3 Retirement decisions are affected by both personal characteristics
and the pace of restructuring.
Female workers and medium education workers appear to have
a larger share of the burden. Role for SBTC?
Positive relation between new firms and retirement time close
to AB prediction.
Labor reallocation and demographics
Conclusions
Questions or suggestions?
Thank you for your attention!
Labor reallocation and demographics
Appendix
Size of the flows
H1: Beyond the graphs
Table : The adjusted size of each type of flows
OPPOSITE EXIT ENTRY SAME
Means 1.18 7.69 3.53 5.88
AB 2.30 -17.76*** 40.16*** 18.89*** 22.67***
CH 0.66 17.97*** 45.61*** 44.62*** 27.84***
ABCH 0.60 16.88*** 46.80*** 43.94*** 27.33***
Labor reallocation and demographics
Appendix
Flows across industries
Did demographics promote industry reallocation
Labor reallocation and demographics
Appendix
Flows across industries
Did demographics promote industry reallocation
Labor reallocation and demographics
Appendix
Time patterns of flows
Time patterns in sectoral flows
Labor reallocation and demographics
Appendix
Time patterns of flows
Time patterns in sectoral flows
Labor reallocation and demographics
Appendix
How good are survival models – Fit to the data

More Related Content

What's hot

Labor rellocation and demographics
Labor rellocation and demographicsLabor rellocation and demographics
Labor rellocation and demographicsGRAPE
 
Productivity and inequality effects of rapid labor market reallocation
Productivity and inequality effects of rapid labor market reallocationProductivity and inequality effects of rapid labor market reallocation
Productivity and inequality effects of rapid labor market reallocationGRAPE
 
Can we really explain worker flows in transition?
Can we really explain worker flows in transition?Can we really explain worker flows in transition?
Can we really explain worker flows in transition?GRAPE
 
Flows in reallocation
Flows in reallocationFlows in reallocation
Flows in reallocationGRAPE
 
Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...GRAPE
 
Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...GRAPE
 
Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?GRAPE
 
Wage inequality and structural change
Wage inequality and structural changeWage inequality and structural change
Wage inequality and structural changeGRAPE
 
How (Not) to Make Women Work? Evidence from Transition Countries
How (Not) to Make Women Work? Evidence from Transition CountriesHow (Not) to Make Women Work? Evidence from Transition Countries
How (Not) to Make Women Work? Evidence from Transition CountriesGRAPE
 
Phasing out of the labor market
Phasing out of the labor marketPhasing out of the labor market
Phasing out of the labor marketGRAPE
 
Pushed into necessity? ASSA 2018 poster
Pushed into necessity? ASSA 2018 posterPushed into necessity? ASSA 2018 poster
Pushed into necessity? ASSA 2018 posterGRAPE
 
Sources of Job and Worker Flows: Evidence from a Panel of Regions
Sources of Job and Worker Flows: Evidence from a Panel of RegionsSources of Job and Worker Flows: Evidence from a Panel of Regions
Sources of Job and Worker Flows: Evidence from a Panel of RegionsPalkansaajien tutkimuslaitos
 
Jobs and Growth in Finland: Industry-level Evidence from the 1990s
Jobs and Growth in Finland: Industry-level Evidence from the 1990sJobs and Growth in Finland: Industry-level Evidence from the 1990s
Jobs and Growth in Finland: Industry-level Evidence from the 1990sPalkansaajien tutkimuslaitos
 
The relationship between labour share and unemployment: the role of wage-sett...
The relationship between labour share and unemployment: the role of wage-sett...The relationship between labour share and unemployment: the role of wage-sett...
The relationship between labour share and unemployment: the role of wage-sett...Palkansaajien tutkimuslaitos
 
Does Labour Market Reorganization Reduce Unemployment?
Does Labour Market Reorganization Reduce Unemployment?Does Labour Market Reorganization Reduce Unemployment?
Does Labour Market Reorganization Reduce Unemployment?Palkansaajien tutkimuslaitos
 
UK Labour Market Nov 6th
UK Labour Market Nov 6thUK Labour Market Nov 6th
UK Labour Market Nov 6thAdrian Orton
 
Wage adjustment and employment in Europe
Wage adjustment and employment in EuropeWage adjustment and employment in Europe
Wage adjustment and employment in EuropeEesti Pank
 
Karsten Staehr. Minimum Wages and the Wage Distribution in Estonia
Karsten Staehr. Minimum Wages and the Wage Distribution in EstoniaKarsten Staehr. Minimum Wages and the Wage Distribution in Estonia
Karsten Staehr. Minimum Wages and the Wage Distribution in EstoniaEesti Pank
 

What's hot (20)

Labor rellocation and demographics
Labor rellocation and demographicsLabor rellocation and demographics
Labor rellocation and demographics
 
Productivity and inequality effects of rapid labor market reallocation
Productivity and inequality effects of rapid labor market reallocationProductivity and inequality effects of rapid labor market reallocation
Productivity and inequality effects of rapid labor market reallocation
 
Can we really explain worker flows in transition?
Can we really explain worker flows in transition?Can we really explain worker flows in transition?
Can we really explain worker flows in transition?
 
Flows in reallocation
Flows in reallocationFlows in reallocation
Flows in reallocation
 
Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...
 
Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...Labour reallocation over the business cycle during transition and post-transi...
Labour reallocation over the business cycle during transition and post-transi...
 
Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?
 
Wage inequality and structural change
Wage inequality and structural changeWage inequality and structural change
Wage inequality and structural change
 
How (Not) to Make Women Work? Evidence from Transition Countries
How (Not) to Make Women Work? Evidence from Transition CountriesHow (Not) to Make Women Work? Evidence from Transition Countries
How (Not) to Make Women Work? Evidence from Transition Countries
 
Phasing out of the labor market
Phasing out of the labor marketPhasing out of the labor market
Phasing out of the labor market
 
Looking through the hourglass
Looking through the hourglassLooking through the hourglass
Looking through the hourglass
 
Polarisation event slide pack
Polarisation event slide packPolarisation event slide pack
Polarisation event slide pack
 
Pushed into necessity? ASSA 2018 poster
Pushed into necessity? ASSA 2018 posterPushed into necessity? ASSA 2018 poster
Pushed into necessity? ASSA 2018 poster
 
Sources of Job and Worker Flows: Evidence from a Panel of Regions
Sources of Job and Worker Flows: Evidence from a Panel of RegionsSources of Job and Worker Flows: Evidence from a Panel of Regions
Sources of Job and Worker Flows: Evidence from a Panel of Regions
 
Jobs and Growth in Finland: Industry-level Evidence from the 1990s
Jobs and Growth in Finland: Industry-level Evidence from the 1990sJobs and Growth in Finland: Industry-level Evidence from the 1990s
Jobs and Growth in Finland: Industry-level Evidence from the 1990s
 
The relationship between labour share and unemployment: the role of wage-sett...
The relationship between labour share and unemployment: the role of wage-sett...The relationship between labour share and unemployment: the role of wage-sett...
The relationship between labour share and unemployment: the role of wage-sett...
 
Does Labour Market Reorganization Reduce Unemployment?
Does Labour Market Reorganization Reduce Unemployment?Does Labour Market Reorganization Reduce Unemployment?
Does Labour Market Reorganization Reduce Unemployment?
 
UK Labour Market Nov 6th
UK Labour Market Nov 6thUK Labour Market Nov 6th
UK Labour Market Nov 6th
 
Wage adjustment and employment in Europe
Wage adjustment and employment in EuropeWage adjustment and employment in Europe
Wage adjustment and employment in Europe
 
Karsten Staehr. Minimum Wages and the Wage Distribution in Estonia
Karsten Staehr. Minimum Wages and the Wage Distribution in EstoniaKarsten Staehr. Minimum Wages and the Wage Distribution in Estonia
Karsten Staehr. Minimum Wages and the Wage Distribution in Estonia
 

Similar to Labor reallocation and demographics: Evidence from Life in Transition Survey

Izmir
IzmirIzmir
IzmirGRAPE
 
It is never too late? Evidence on increasing the retirement age in a transiti...
It is never too late? Evidence on increasing the retirement age in a transiti...It is never too late? Evidence on increasing the retirement age in a transiti...
It is never too late? Evidence on increasing the retirement age in a transiti...GRAPE
 
How (not) to make women work?
How (not) to make women work?How (not) to make women work?
How (not) to make women work?GRAPE
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingGRAPE
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingGRAPE
 
Unionization and dispersion of earned income
Unionization and dispersion of earned income Unionization and dispersion of earned income
Unionization and dispersion of earned income GRAPE
 
Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...GRAPE
 
Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...GRAPE
 
Kupets eerc research grants and their opportunities
Kupets eerc research grants and their opportunitiesKupets eerc research grants and their opportunities
Kupets eerc research grants and their opportunitiesIryna Sobetska
 
How (not) to make women work?
How (not) to make women work?How (not) to make women work?
How (not) to make women work?GRAPE
 
Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...GRAPE
 
Welfare effects of the pension system reform
Welfare effects of the pension system reformWelfare effects of the pension system reform
Welfare effects of the pension system reformGRAPE
 
Presentation at the Social Economics and Ethics Research Group at Universitat...
Presentation at the Social Economics and Ethics Research Group at Universitat...Presentation at the Social Economics and Ethics Research Group at Universitat...
Presentation at the Social Economics and Ethics Research Group at Universitat...OctasianoValerio1
 
Political (in)stability of funded pensions
Political (in)stability of funded pensionsPolitical (in)stability of funded pensions
Political (in)stability of funded pensionsGRAPE
 
The Quality of Employment: Concepts and Methodologies in Developed and Develo...
The Quality of Employment: Concepts and Methodologies in Developed and Develo...The Quality of Employment: Concepts and Methodologies in Developed and Develo...
The Quality of Employment: Concepts and Methodologies in Developed and Develo...Institute of Development Studies
 
Technological change and labor market inequality
Technological change and labor market inequalityTechnological change and labor market inequality
Technological change and labor market inequalityGRAPE
 

Similar to Labor reallocation and demographics: Evidence from Life in Transition Survey (20)

Izmir
IzmirIzmir
Izmir
 
It is never too late? Evidence on increasing the retirement age in a transiti...
It is never too late? Evidence on increasing the retirement age in a transiti...It is never too late? Evidence on increasing the retirement age in a transiti...
It is never too late? Evidence on increasing the retirement age in a transiti...
 
Migration and Informality: ERF's Role
Migration and Informality: ERF's RoleMigration and Informality: ERF's Role
Migration and Informality: ERF's Role
 
Ws2011 sessione6 boschetto_discenza_fiori_lucarelli_rosati
Ws2011 sessione6 boschetto_discenza_fiori_lucarelli_rosatiWs2011 sessione6 boschetto_discenza_fiori_lucarelli_rosati
Ws2011 sessione6 boschetto_discenza_fiori_lucarelli_rosati
 
Ws2011 sessione6 lucarelli_discenza_rosati_fiori_boschetto
Ws2011 sessione6 lucarelli_discenza_rosati_fiori_boschettoWs2011 sessione6 lucarelli_discenza_rosati_fiori_boschetto
Ws2011 sessione6 lucarelli_discenza_rosati_fiori_boschetto
 
How (not) to make women work?
How (not) to make women work?How (not) to make women work?
How (not) to make women work?
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population aging
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population aging
 
Unionization and dispersion of earned income
Unionization and dispersion of earned income Unionization and dispersion of earned income
Unionization and dispersion of earned income
 
Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...
 
Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...
 
Kupets eerc research grants and their opportunities
Kupets eerc research grants and their opportunitiesKupets eerc research grants and their opportunities
Kupets eerc research grants and their opportunities
 
How (not) to make women work?
How (not) to make women work?How (not) to make women work?
How (not) to make women work?
 
Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...Women in transition and today: what do they want, realize, and experience in ...
Women in transition and today: what do they want, realize, and experience in ...
 
2014 PMRC
2014 PMRC2014 PMRC
2014 PMRC
 
Welfare effects of the pension system reform
Welfare effects of the pension system reformWelfare effects of the pension system reform
Welfare effects of the pension system reform
 
Presentation at the Social Economics and Ethics Research Group at Universitat...
Presentation at the Social Economics and Ethics Research Group at Universitat...Presentation at the Social Economics and Ethics Research Group at Universitat...
Presentation at the Social Economics and Ethics Research Group at Universitat...
 
Political (in)stability of funded pensions
Political (in)stability of funded pensionsPolitical (in)stability of funded pensions
Political (in)stability of funded pensions
 
The Quality of Employment: Concepts and Methodologies in Developed and Develo...
The Quality of Employment: Concepts and Methodologies in Developed and Develo...The Quality of Employment: Concepts and Methodologies in Developed and Develo...
The Quality of Employment: Concepts and Methodologies in Developed and Develo...
 
Technological change and labor market inequality
Technological change and labor market inequalityTechnological change and labor market inequality
Technological change and labor market inequality
 

More from GRAPE

Gender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European dataGender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European dataGRAPE
 
Demographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityDemographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityGRAPE
 
(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequalityGRAPE
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGRAPE
 
Wage Inequality and women's self-employment
Wage Inequality and women's self-employmentWage Inequality and women's self-employment
Wage Inequality and women's self-employmentGRAPE
 
Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)GRAPE
 
Empathy in risky choices on behalf of others
Empathy in risky choices on behalf of othersEmpathy in risky choices on behalf of others
Empathy in risky choices on behalf of othersGRAPE
 
Contracts with Interdependent Preferences
Contracts with Interdependent PreferencesContracts with Interdependent Preferences
Contracts with Interdependent PreferencesGRAPE
 
Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...GRAPE
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGRAPE
 
ENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdfENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdfGRAPE
 
POSTER_EARHART.pdf
POSTER_EARHART.pdfPOSTER_EARHART.pdf
POSTER_EARHART.pdfGRAPE
 
Boston_College Slides.pdf
Boston_College Slides.pdfBoston_College Slides.pdf
Boston_College Slides.pdfGRAPE
 
Presentation_Yale.pdf
Presentation_Yale.pdfPresentation_Yale.pdf
Presentation_Yale.pdfGRAPE
 
Presentation_Columbia.pdf
Presentation_Columbia.pdfPresentation_Columbia.pdf
Presentation_Columbia.pdfGRAPE
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdfGRAPE
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdfGRAPE
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdfGRAPE
 
Slides.pdf
Slides.pdfSlides.pdf
Slides.pdfGRAPE
 
Slides.pdf
Slides.pdfSlides.pdf
Slides.pdfGRAPE
 

More from GRAPE (20)

Gender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European dataGender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European data
 
Demographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityDemographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequality
 
(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eye
 
Wage Inequality and women's self-employment
Wage Inequality and women's self-employmentWage Inequality and women's self-employment
Wage Inequality and women's self-employment
 
Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)
 
Empathy in risky choices on behalf of others
Empathy in risky choices on behalf of othersEmpathy in risky choices on behalf of others
Empathy in risky choices on behalf of others
 
Contracts with Interdependent Preferences
Contracts with Interdependent PreferencesContracts with Interdependent Preferences
Contracts with Interdependent Preferences
 
Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eye
 
ENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdfENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdf
 
POSTER_EARHART.pdf
POSTER_EARHART.pdfPOSTER_EARHART.pdf
POSTER_EARHART.pdf
 
Boston_College Slides.pdf
Boston_College Slides.pdfBoston_College Slides.pdf
Boston_College Slides.pdf
 
Presentation_Yale.pdf
Presentation_Yale.pdfPresentation_Yale.pdf
Presentation_Yale.pdf
 
Presentation_Columbia.pdf
Presentation_Columbia.pdfPresentation_Columbia.pdf
Presentation_Columbia.pdf
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdf
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdf
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdf
 
Slides.pdf
Slides.pdfSlides.pdf
Slides.pdf
 
Slides.pdf
Slides.pdfSlides.pdf
Slides.pdf
 

Recently uploaded

Instant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School SpiritInstant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School Spiritegoetzinger
 
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...ssifa0344
 
(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Call US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure service
Call US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure serviceCall US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure service
Call US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure servicePooja Nehwal
 
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service AizawlVip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawlmakika9823
 
VIP Call Girls Thane Sia 8617697112 Independent Escort Service Thane
VIP Call Girls Thane Sia 8617697112 Independent Escort Service ThaneVIP Call Girls Thane Sia 8617697112 Independent Escort Service Thane
VIP Call Girls Thane Sia 8617697112 Independent Escort Service ThaneCall girls in Ahmedabad High profile
 
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779Delhi Call girls
 
High Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
High Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur EscortsHigh Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
High Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdfAdnet Communications
 
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptxFinTech Belgium
 
Q3 2024 Earnings Conference Call and Webcast Slides
Q3 2024 Earnings Conference Call and Webcast SlidesQ3 2024 Earnings Conference Call and Webcast Slides
Q3 2024 Earnings Conference Call and Webcast SlidesMarketing847413
 
Andheri Call Girls In 9825968104 Mumbai Hot Models
Andheri Call Girls In 9825968104 Mumbai Hot ModelsAndheri Call Girls In 9825968104 Mumbai Hot Models
Andheri Call Girls In 9825968104 Mumbai Hot Modelshematsharma006
 
Dividend Policy and Dividend Decision Theories.pptx
Dividend Policy and Dividend Decision Theories.pptxDividend Policy and Dividend Decision Theories.pptx
Dividend Policy and Dividend Decision Theories.pptxanshikagoel52
 
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...shivangimorya083
 
Lundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdfLundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdfAdnet Communications
 
Malad Call Girl in Services 9892124323 | ₹,4500 With Room Free Delivery
Malad Call Girl in Services  9892124323 | ₹,4500 With Room Free DeliveryMalad Call Girl in Services  9892124323 | ₹,4500 With Room Free Delivery
Malad Call Girl in Services 9892124323 | ₹,4500 With Room Free DeliveryPooja Nehwal
 
20240417-Calibre-April-2024-Investor-Presentation.pdf
20240417-Calibre-April-2024-Investor-Presentation.pdf20240417-Calibre-April-2024-Investor-Presentation.pdf
20240417-Calibre-April-2024-Investor-Presentation.pdfAdnet Communications
 
Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...
Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...
Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...Pooja Nehwal
 
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130  Available With RoomVIP Kolkata Call Girl Serampore 👉 8250192130  Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Roomdivyansh0kumar0
 
Booking open Available Pune Call Girls Shivane 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Shivane  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Shivane  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Shivane 6297143586 Call Hot Indian Gi...Call Girls in Nagpur High Profile
 

Recently uploaded (20)

Instant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School SpiritInstant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School Spirit
 
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
 
(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(DIYA) Bhumkar Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Call US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure service
Call US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure serviceCall US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure service
Call US 📞 9892124323 ✅ Kurla Call Girls In Kurla ( Mumbai ) secure service
 
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service AizawlVip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
 
VIP Call Girls Thane Sia 8617697112 Independent Escort Service Thane
VIP Call Girls Thane Sia 8617697112 Independent Escort Service ThaneVIP Call Girls Thane Sia 8617697112 Independent Escort Service Thane
VIP Call Girls Thane Sia 8617697112 Independent Escort Service Thane
 
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
 
High Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
High Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur EscortsHigh Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
High Class Call Girls Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
 
20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf
 
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
 
Q3 2024 Earnings Conference Call and Webcast Slides
Q3 2024 Earnings Conference Call and Webcast SlidesQ3 2024 Earnings Conference Call and Webcast Slides
Q3 2024 Earnings Conference Call and Webcast Slides
 
Andheri Call Girls In 9825968104 Mumbai Hot Models
Andheri Call Girls In 9825968104 Mumbai Hot ModelsAndheri Call Girls In 9825968104 Mumbai Hot Models
Andheri Call Girls In 9825968104 Mumbai Hot Models
 
Dividend Policy and Dividend Decision Theories.pptx
Dividend Policy and Dividend Decision Theories.pptxDividend Policy and Dividend Decision Theories.pptx
Dividend Policy and Dividend Decision Theories.pptx
 
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
 
Lundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdfLundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdf
 
Malad Call Girl in Services 9892124323 | ₹,4500 With Room Free Delivery
Malad Call Girl in Services  9892124323 | ₹,4500 With Room Free DeliveryMalad Call Girl in Services  9892124323 | ₹,4500 With Room Free Delivery
Malad Call Girl in Services 9892124323 | ₹,4500 With Room Free Delivery
 
20240417-Calibre-April-2024-Investor-Presentation.pdf
20240417-Calibre-April-2024-Investor-Presentation.pdf20240417-Calibre-April-2024-Investor-Presentation.pdf
20240417-Calibre-April-2024-Investor-Presentation.pdf
 
Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...
Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...
Independent Call Girl Number in Kurla Mumbai📲 Pooja Nehwal 9892124323 💞 Full ...
 
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130  Available With RoomVIP Kolkata Call Girl Serampore 👉 8250192130  Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Room
 
Booking open Available Pune Call Girls Shivane 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Shivane  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Shivane  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Shivane 6297143586 Call Hot Indian Gi...
 

Labor reallocation and demographics: Evidence from Life in Transition Survey

  • 1. Labor reallocation and demographics Labor reallocation and demographics Evidence from the Life in Transition Survey Joanna Tyrowicz Lucas van der Velde GRAPE Group for Research in APplied Economics July 2015, EACES-HSE, Moscow Labor reallocation and demographics Introduction Introduction Motivation Transition theories better than universal labor market theories? The missing link of demographic changes Our goal: to understand better worker flows in transition economies What flows prevailed during transition? What was the role played by demographic changes? Advantage: new, comprehensive retrospective data: Life in Transition Survey (EBRD)
  • 2. Labor reallocation and demographics Introduction Countries analyzed Year N 89 90 91 92 93 94 95 96 97 98 99 00 01 02 Estonia 2 + + + + + + + + + + Russia 2 + + + + + + + + + + + Ukraine 3 + + + + + + + + + Bulgaria 1 + + + + Poland 3 + + + + + + + Romania 1 + + + Slovenia 2 + + + + + + Slovakia 1 + + + + + + + Czech Rep. 2 + + + + + Hungary 3 + + + Labor reallocation and demographics Introduction Countries (not) analyzed Year N 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 Albania Armenia Azerbeijan Bulgaria 1 + + + + Belarus Croatia Czech Republic 2 + + + + + Estonia 2 + + + + + + + + + + Georgia Hungary 2 + + + Kazakhstan Kyrgistan Latvia Lithuania Macedonia Moldova Montenegro Poland 3 + + + + + + + Romania 1 + + + Russia 2 + + + + + + + + + + + + Slovenia 2 + + + + + + Slovakia 1 + + + + + + + + + Serbia Tajikistan Ukraine 3 + + + + + + + + + Uzbekistan
  • 3. Labor reallocation and demographics Introduction Three stories of reallocation Aghion and Blanchard (1994) → public to private flows. Cabalero and Hammour (various papers) → Inter-industry reallocation. Demographic transition. Common challenges in applying these theories to data 1 Distinguish between worker flows (gross) and job flows (gross) and change in employment structure (net) 2 Privatization vs. de novo firms might have different impact 3 What if a worker holds more than one job in the period? Labor reallocation and demographics Hypotheses Our statements to be tested 1 Flows during transition were generally AB, later intensifying CH 2 Reallocation affected labor supply
  • 4. Labor reallocation and demographics Data and methods Data source: Life in Transition Survey 27 transition countries 18 years: 1989 - 2006 Standardized survey (EBRD 2006) Retrospective, covers years from 1989 to 2006 Limitations: recall and survival bias, no data on wages Labor reallocation and demographics Data and methods LiTS in perspective Country Year Services Industry Private Services Industry Private (LFS) (LFS) (SES) (LiTS) (LiTS) (LiTS) Bulgaria 2000 51.8 39.6 57.2 36.0 48.7 2002 54.9 38.3 55.9 60.0 34.4 53.5 Estonia 1997 53.1 33.1 58.4 30.6 52.7 2002 56.0 32.9 91.8 59.8 30.9 62.2 Latvia 1998 47.4 30.1 67.1 23.6 51.2 2002 49.0 27.7 88.0 67.1 24.4 59.7 Poland 2000 46.1 40.1 59.6 34.6 50.0 2002 51.5 37.8 47.1 59.0 34.3 53.4 Romania 1997 48.4 22.8 54.1 39.7 44.2 2002 58.0 24.7 65.3 58.8 36.1 54.8 Slovakia 1998 50.2 29.2 62.6 30.1 39.7 2002 52.7 27.7 63.0 65.6 28.6 45.9 Note: Own calculation on the basis of data from LiTS, the EU-Labour Force Surveys (LFS) and the Structure of Earnings Survey (SES).
  • 5. Labor reallocation and demographics Data and methods Definitions AB: public ⇒ private sector (within the same industry) CH: manufacturing ⇒ services (within the same sector) ABCH: public manufacturing ⇒ private services OPPOSITE: private service ⇒ public manufacturing SAME: within sector and industry EXIT: To retirement ENTRY: Into employment Labor reallocation and demographics Results Our statements to be tested 1 Flows during transition were generally AB or CH 2 Reallocation affected labor supply
  • 6. Labor reallocation and demographics Results H1: which flows dominated in transition? Labor reallocation and demographics Results H1: Flows from (and into) the state sector
  • 7. Labor reallocation and demographics Results H1: Flows from (and into) the private sector Labor reallocation and demographics Results On the timing of transition Flow/year AB CH SAME ENTRY EXIT 1990 base level 1991 1.000* 0.111 0.667 0.556 1.296 1992 1.593*** 0.333 2.037*** 0.370 0.111 1993 1.926*** 0.407* 2.074*** -0.074 -0.148 1994 1.556** 0.185 2.148*** -0.000 -1.630* 1995 1.444** 0.296 3.148*** 0.148 -1.148 1996 1.778*** 0.778*** 3.852*** 0.444 -1.259 1997 1.074* 0.185 3.074*** -0.037 -2.407** 1998 1.778*** 0.333 2.667*** 0.037 -2.111** 1999 0.593 0.407* 3.148*** -0.481 -2.111** 2000 1.222** 0.407* 4.370*** 0.185 -1.519 2001 1.630*** 0.741*** 4.333*** 0.185 -2.296** 2002 0.593 0.481** 2.889*** 0.556 -2.963*** 2003 0.148 0.667*** 4.333*** 0.667 -2.519*** 2004 0.889 0.889*** 5.296*** 1.000* -1.889* 2005 0.852 1.000*** 4.630*** 2.185*** -2.000** 2006 0.741 1.296*** 6.148*** -0.370 -4.370*** # of obs. 459 459 459 459 459 R2 0.640 0.538 0.887 0.774 0.827
  • 8. Labor reallocation and demographics Results Our statements to be tested 1 Flows during transition were generally AB or CH 2 Reallocation affected labor supply Labor reallocation and demographics Results Sample characteristics All Under 45 Over 45 Mean S.D. Mean S.D. Mean S.D. Time to event 10.698 6.759 7.639 4.417 16.632 6.565 Individual characteristics Female 0.563 0.496 0.572 0.495 0.546 0.498 Secondary education 0.577 0.494 0.615 0.487 0.505 0.5 Tertiary education 0.251 0.434 0.269 0.444 0.216 0.412 Married 0.63 0.483 0.68 0.467 0.532 0.499 Urban 0.676 0.468 0.662 0.473 0.704 0.457 Last employment Manufacturing 0.283 0.451 0.271 0.444 0.307 0.461 Public 0.749 0.434 0.698 0.459 0.848 0.359 Employment structure (at retirement) Share private firms 0.233 0.081 0.243 0.078 0.212 0.082 Share new private firms 0.239 0.109 0.275 0.085 0.169 0.117 Share manufacturing 0.207 0.062 0.195 0.055 0.229 0.07
  • 9. Labor reallocation and demographics Results H2: When do we leave? All 44 or younger 1989 45 or older 1989 Female -0.212*** -0.121*** -0.160*** (0.015) (0.028) (0.015) Secondary Education -0.072*** 0.045 -0.037** (0.017) (0.033) (0.017) Tertiary education 0.053** 0.161*** 0.049** (0.023) (0.044) (0.021) Manufacturing -0.069*** -0.060** -0.041*** (0.015) (0.027) (0.015) Public -0.039* -0.059* -0.030 (0.021) (0.034) (0.021) Share of privatized firms -1.259*** -0.052 -0.325 (0.205) (0.306) (0.216) Share of de novo private firms 3.131*** 4.684*** 2.768*** (0.101) (0.217) (0.095) Share manufacturing -2.551*** -6.444*** -3.061*** (0.245) (0.460) (0.267) Share private sector 0.558*** -0.935*** -0.239 (0.216) (0.342) (0.225) Share manufacturing 1.673*** 3.199*** 2.226*** (0.225) (0.337) (0.251) Labor reallocation and demographics Results Which characteristics have more explanatory power? Controls Model 1 Model 2 Model 3 Model 4 Demographics, education, residence Yes Yes Yes Yes Employment structure: - prior to retirement (last employment) Yes Yes - in the period of retirement Yes Yes Log likelihood -3 868 -3 801 -2 646 -2 635 LL test (compared to 1) 134.00* 2 443.00* 2466.00* LL test (compared to 4) 2466.00* 2332.00* 23.00* Notes: * denotes results significant at the 5% confidence level. All models have country specific fixed effects.
  • 10. Labor reallocation and demographics Conclusions Summarizing 1 AB and CH movements are the smallest part of transition. 2 School-to-work transition very important for transformation. 3 Retirement decisions are affected by both personal characteristics and the pace of restructuring. Female workers and medium education workers appear to have a larger share of the burden. Role for SBTC? Positive relation between new firms and retirement time close to AB prediction. Labor reallocation and demographics Conclusions Questions or suggestions? Thank you for your attention!
  • 11. Labor reallocation and demographics Appendix Size of the flows H1: Beyond the graphs Table : The adjusted size of each type of flows OPPOSITE EXIT ENTRY SAME Means 1.18 7.69 3.53 5.88 AB 2.30 -17.76*** 40.16*** 18.89*** 22.67*** CH 0.66 17.97*** 45.61*** 44.62*** 27.84*** ABCH 0.60 16.88*** 46.80*** 43.94*** 27.33*** Labor reallocation and demographics Appendix Flows across industries Did demographics promote industry reallocation
  • 12. Labor reallocation and demographics Appendix Flows across industries Did demographics promote industry reallocation Labor reallocation and demographics Appendix Time patterns of flows Time patterns in sectoral flows
  • 13. Labor reallocation and demographics Appendix Time patterns of flows Time patterns in sectoral flows Labor reallocation and demographics Appendix How good are survival models – Fit to the data