The Gender Unemployment Gap

2013 ◽  
Author(s):  
Stefania Albanesi ◽  
Aysegul Sahin
Keyword(s):  
Gender Unemployment Gap

Youth Unemployment in Turkey

2017 ◽  
pp. 157-176
Author(s):  
Z. Bilgen Susanlı
Keyword(s):  
Job Search ◽  
Age Groups ◽  
Youth Unemployment ◽  
Education Policies ◽  
Assistance Programs ◽  
Steep Decline ◽  
Recent Trends ◽  
Gender Unemployment Gap ◽  
Stable Employment ◽  
The Unemployed

This book chapter describes the recent trends in youth unemployment in Turkey by taking into account the causes of unemployment, and the job search methods of the unemployed. Analyses reveal interesting insights. First, inactivity among youth remains high despite the steep decline in the NEET rate during the last decade. Across age groups and genders, females aged between 20 and 24 have the highest NEET rates. Second, there is a widening gender unemployment gap which underscores gender differences in access to jobs. Third, unemployment rates increase consistently with the level of education. Fourth, while temporary jobs coming to an end is the most common reason for unemployment reported by males, a substantial share of unemployed females is first-time jobs-seekers. As far as policymaking is concerned, education policies as well as timely and well-designed training and job assistance programs are essential for facilitating the youth's entry into stable employment.

The gender unemployment gap

2018 ◽  
Vol 30 ◽  
pp. 47-67 ◽  
Author(s):  
Stefania Albanesi ◽  
Ayşegül Şahin
Keyword(s):  
Gender Unemployment Gap

scholarly journals The Gender Unemployment Gap

2017 ◽  
Author(s):  
Stefania Albanesi ◽  
Ayşegül Şahin
Keyword(s):  
Gender Unemployment Gap

scholarly journals The Impact of Pandemics on Workforce Joblessness in Central Europe in pre-Covid Era and during Pandemic

2021 ◽  
pp. 1-6
Author(s):  
Michal Beno
Keyword(s):  
Czech Republic ◽  
The Other ◽  
Age Group ◽  
The Czech Republic ◽  
Significant Difference ◽  
The Difference ◽  
Gender Unemployment Gap ◽  
One Year ◽  
The Impact ◽  
Oecd Data

Unemployment affects individuals socially, personally, and economically. The impact of being jobless can be long-lasting. Five different generations participate in the workplace today. As countries throughout the world went into lockdown to combat the spread of Covid-19, unemployment numbers rose rapidly. This study aimed to examine the effects of unemployment in three-generation groups in V4 and Austria in the pre-Covid-19 era and during Covid-19. Descriptive statistics were used to present the collected data. OECD data were used for the analysis. Based on the data collected, unemployment decreases with age. The group aged 15-24 shows significantly higher unemployment than the other two groups. A gender difference in unemployment was confirmed only in the Czech Republic and Slovakia. Unemployment has increased during the Covid-19 pandemic. The unemployment gap for females before and during Covid-19 was not confirmed. The T-Test confirmed the difference in unemployment before and during the crisis in the age categories 15-24 and 25-54. In Hungary, Poland, and Slovakia, the number of people with a duration of employment of up to one year differs in all age categories. In the Czech Republic, there is a significant difference only between the youngest group and the other two. In all countries, the largest number of people with the employment of up to one year is in the age group 25-54. In none of the examined countries was a gender unemployment gap proved before Covid-19.

Determinants of the gender unemployment gap in Italy and the United Kingdom: A comparative investigation

2015 ◽  
Vol 154 (4) ◽  
pp. 537-562 ◽  
Author(s):  
Maurizio BAUSSOLA ◽  
Chiara MUSSIDA ◽  
Jamie JENKINS ◽  
Matthew PENFOLD
Keyword(s):  
United Kingdom ◽  
Comparative Investigation ◽  
The United Kingdom ◽  
Gender Unemployment Gap

scholarly journals The Gender Unemployment Gap: How the 2008–2009 Economic Crisis in Ecuador Differentially Affected Women

2015 ◽  
Vol 22 ◽  
pp. 20
Author(s):  
Cinthia Josette Arévalo Gross
Keyword(s):  
Economic Crisis ◽  
Fixed Effects ◽  
Individual Characteristics ◽  
Difference In Differences ◽  
Men And Women ◽  
Unemployment Rates ◽  
Fixed Effects Models ◽  
Percentage Points ◽  
Gender Unemployment Gap ◽  
Time Invariant

This paper uses panel data to assess how the 2008–2009 economic crisis affected the unemployment rates of Ecuadorian men and women differently. After controlling for individual characteristics, the results of a difference-in-differences model and individual and household fixed effects models indicate that women were one to two percentage points more likely than men to be unemployed during the economic crisis in Ecuador. This paper concludes, therefore, that the economic crisis negatively affected women more than men even after controlling for observed and unobserved time-invariant individual characteristics.

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