We describe the employment and gender gaps and its evolution during the transition process. Using non-parametric estimates, we find that variation is driven by country specific factors.

1. Motivation
Data
Empirical results
Conclusions
Female Access to the Labor Market and Wages
Over Transition
A Multicountry Analysis
Karolina Goraus Joanna Tyrowicz
Faculty of Economic Sciences
University of Warsaw
ESNIE
Cargese, 20 May 2014
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

2. Motivation
Data
Empirical results
Conclusions
What is the reason of gender wage differentials?
Gender wage gaps
Italy 2005 15.7% Picchio, Mussida, 2010
Italy 2008 24.16% N˜opo, Daza, Ramos, 2011
Czech Republic 1998 30% Jurajda, 2001
Czech Republic 2008 35.19% N˜opo, Daza, Ramos, 2011
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

3. Motivation
Data
Empirical results
Conclusions
Different trends in FLFP in CEEC and Western Europe
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

4. Motivation
Data
Empirical results
Conclusions
Different trends in FLFP in CEEC and Western Europe
Total sample Advanced Transition
Time 0.397*** 0.668*** -0.443***
(0.0365) (0.0402) (0.0456)
Observations 631 338 203
R2 0.167 0.465 0.336
No of countries 42 18 15
Note: panel fixed effect robust estimator. Constant included.
Data source: ILO. Transition: Albania, Belarus, Bulgaria, Czech Republic, Estonia,
Hungary, Latvia, Lithuania, Poland, Romania, Russia, Slovakia, Slovenia, Ukraine.
Advanced: Austria, Belgium, Denmark, Finland, France, E & W Germany , Greece,
Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and United
Kingdom. Standard errors in parentheses, *** p<0.01, ** p<0.05, * p<0.1
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

5. Motivation
Data
Empirical results
Conclusions
Research goals
1 Investigating the position of women on the labor market in
transition
2 Analysing the international variation in gender gaps using
coherent estimators
3 Exploring differences between CEEC and Western Europe, as
well as within the group of transition economies
4 Verifying if higher FLFP leads to lower discrimination in wages
Empirical procedure
1 Obtaining comparable measures of gender discrimination in
employment rates and wages
2 Using gender gap estimates as explained variables, whereas
country characteristics as explanatory variables
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

6. Motivation
Data
Empirical results
Conclusions
Varius sources of micro-level data
National censuses (acquired from Integrated Public Use
Microdata Series International)
International Social Survey Program
Living Standard Measurement Surveys of The World Bank
National Labor Force Surveys
European Union Labor Force Survey
European Community Household Panel
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

7. Motivation
Data
Empirical results
Conclusions
Data on transition countries
Country LFS EU LFS Census LSMS ISSP
Albania 2002-2005
Armenia 2001
Belarus 1999
Bosnia & H. 2001-2004
Bulgaria 2000-2008 1995, 1997, 2001, 2003 1993-1995
Croatia 1997-2008
Czech R. 1998-2008 1993-1995
Estonia 1997-2008 1992-1995
Hungary 1997-2008 1970, 1980, 1990, 2001 1989-1995
Kyrgyzstan 1993, 1996-1998
Latvia 1998-2008 1995
Lithuania 1998-2008 1995
Poland 1995-2010 1997-2008 1987, 1991-1995
Romania 1997-2008 1977, 1992, 2002
Russia 1991-1995
Serbia 2002-2004, 2007
Slovakia 1998-2008 1995
Slovenia 1996-2008 2002 1991-1995
Tajikistan 1999, 2003, 2009
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

8. Motivation
Data
Empirical results
Conclusions
Data on benchmark countries
Country EU LFS ECHP ISSP
Austria 1995-2008 1995-2001 1989-1995
Belgium 1992-2008 1994-2001
Denmark 1992-2008 1994-2001
Finland 1995-2008 1996-2001
France 1993-2008 1994-2001
Germany 2002-2008 1994-2001 1989-1995
Greece 1992-2008 1994-2001
Ireland 1999-2008 1994-2001 1989-1995
Italy 1992-2008 1994-2001 1989- 1995
Netherlands 1996-2008 1994-2001 1989-1995
Norway 1996-2008 1989-1995
Portugal 1992-2008 1994-2001
Spain 1992-2008 1994-2001 1993-1995
Sweden 1995-2008 1997-2001 1994-1995
Switzerland 1996-2008 1987
UK 1992-2008 1994-2001 1989-1995
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

9. Motivation
Data
Empirical results
Conclusions
First stage: analysis of micro-level data
Second stage: analysis of obtained gender gaps estimates
Research method
δM - can be explained by differences between „matched” and
„unmatched” males
δX - can be explained by differences in the distribution of
characteristics of males and females over the common support
δA - unexplained part of the gap
δF - can be explained by differences between „matched” and
„unmatched” females
Characteristics ∆ ∆A ∆M ∆F ∆X % M % K
Demographic 10% 20% 0% 0% -10% 99 97
+ Occupation 10% 20% 0% 0% -10% 96 93
+ Sector 10% 20% -1% -1% -9% 92 92
+ Tenure 10% 21% 0% -1% -10% 99 95
All 10% 19% -2% -1% -6% 65 74
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

10. Motivation
Data
Empirical results
Conclusions
First stage: analysis of micro-level data
Second stage: analysis of obtained gender gaps estimates
Adjusted wage gap All % matched over 30 % matched over 30, EBRD evaluated % matched over 30
Female participation rate -1.472*** -3.984*** -3.514*** -2.290** -3.957*** -7.373*** -7.425***
(0.7429) (0.9029) (1.7181) (1.2658) (1.8100) (1.1104) (1.1344)
x Transition 2.535*** 5.052*** 35.309 27.701 5.862 7.512*** 7.847***
(1.0092) (1.2196) (44.8532) (31.1209) (47.3125) (1.2782) (1.3919)
Years from transition 0.100*** 0.062 0.039 0.084 0.108 -0.0001 0.022
(0.0348) (0.0450) (0.1315) (0.0916) (0.1339) (0.0441) (0.0451)
squared -0.004*** -0.001 -0.001 -0.006 -0.002 0.002 0.002
(0.0015) (0.0019) (0.0061) (0.0045) (0.0065) (0.0019) (0.0019)
x Transition -0.078** -0.033 9.375 4.897 0.357 0.078 0.097**
(0.0422) (0.0523) (11.0341) (7.3705) (11.0925) (0.0544) (0.0561)
squared x Transition 0.004*** 0.001 -0.090 -0.044 -0.003 -0.003 -0.003**
(0.0015) (0.0019) (0.1075) (0.0718) (0.1080) (0.0019) (0.0019)
% of females with tertiary education -0.631 -0.672 4.970 21.863*** -0.447 -0.342 -0.562
(0.7991) (0.8489) (11.2638) (8.7870) (11.5959) (0.7725) (0.7904)
Mean age of active female 0.069*** -0.003 -0.058 0.068 -0.056 0.018 0.002
(0.0219) (0.0292) (0.1014) (0.0765) (0.1074) (0.0268) (0.0271)
% of HH with children under 5 0.867*** 3.021*** 5.932*** 13.399*** 4.577* 7.253*** 7.592***
(0.3461) (1.2163) (2.8513) (2.5122) (2.9900) (1.6902) (1.7312)
EBRD - large scale privatization 0.676**
(0.3577)
EBRD - small scale privatization 2.614***
(0.4538)
EBRD - governance and enterprise restructuring -0.131
(0.4477)
CIRI - womens’ economic rights 0.341***
(0.1191)
CIRI - womens’ social rights 0.128**
(0.0773)
Constant -2.948*** 0.220 -37.186 -32.481 1.608 -1.797* -0.375
(0.8577) (1.1951) (46.3010) (31.1332) (46.5176) (1.1598) (1.2762)
Observations 196 163 54 54 54 160 160
R-squared 0.383 0.505 0.570 0.775 0.518 0.601 0.390
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

11. Motivation
Data
Empirical results
Conclusions
Conclusions & Plans
Great international variation in the extent of gender
differences on the labor market
Most of the variation seems to be caused by the country fixed
effects
Higher FLFP seem to be related with the lower adjusted wage
gaps - The Goodwill Effect!
Plans for the future
Improving data on the RHS and LHS!
Improving the second stage modelling
Careful interpretation of the adjusted wage gap
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition

12. Motivation
Data
Empirical results
Conclusions
Thank you for your attention
Karolina Goraus, Joanna Tyrowicz Female Access to the Labor Market and Wages Over Transition