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Finding a job after unemployment: key factors in Russia and Germany Gladnikova Ekaterina (HSE, Moscow) Ketzmerick Thomas (ZSH, Halle) Malkova Maria (HSE,

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Presentation on theme: "Finding a job after unemployment: key factors in Russia and Germany Gladnikova Ekaterina (HSE, Moscow) Ketzmerick Thomas (ZSH, Halle) Malkova Maria (HSE,"— Presentation transcript:

1 Finding a job after unemployment: key factors in Russia and Germany Gladnikova Ekaterina (HSE, Moscow) Ketzmerick Thomas (ZSH, Halle) Malkova Maria (HSE, Moscow)

2 Problem Scientific problem Comparison of two countries by the same methodology => finding universal and specific factors Practical problem High level of unemployment – problem of both countries Long term unemployment => social exclusion The need to reveal contributing factors of finding a job after unemployment (especially long term) Recommendations to social policy

3 Transitions from unemployment to employment t has a jobhas no job t-1 had a job regular employees short-term unemployed at the moment had no job successful employees at the moment that had experience of unemployment in the past long-term unemployed

4 Object and Subject The object of the investigation is divided into two groups 1) Russians and Germans at the age of 20-60 who moved from unemployment into a job 2) Russians and Germans at the age of 20-60 who were and stay unemployed The subject is factors influencing the probability of finding a job after unemployment

5 The Aim and Tasks The aim: to find out factors influencing the probability of finding a job after unemployment in Russia and Germany. To achieve the aim it is necessary to set the following tasks: To describe who are the unemployed (particularly long- term) in Russia and Germany? To reveal factors that have a negative / positive impact on finding a job after unemployment in each country. To find and to explain differences and similarities between countries.

6 Methodology 1st task methods of descriptive statistics (frequencies and crosstabulations, methods of comparing means etc.)  2nd task regressional analysis: binary logistic regression

7 Database and Variables Russian Longitude Monitoring Survey, RLMS (Russia), 2001-2007 German Socio-Economic Panel, GSOEP (Germany), 2001-2007 Variables Dependent: Successfulness in a job finding after unemployment (two groups who are succeed and are not) Independent (in t-1 period): wave (year) socio-economical and demographic characteristics of employees (sex, region, family structure, education etc.) ways of job searching duration of unemployment or economic inactivity expectations about future job etc.

8 Hypothesis Positive factors of finding a job: Duration of unemployment (short term), Education (higher), Sex (male), Age (30-40), Type of area (urban), Region (West Germany, Moscow, St. Petersburg), Family structure (partnership, no children at the age of 0-3 years), Year (2006 in Germany and 2003-2006 in Russia) etc.

9 Thanks for your attention!


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