Person: ERİŞ DERELİ, BİLGE
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ERİŞ DERELİ
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BİLGE
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Publication Metadata only Occupational mismatch and mismatch unemployment(2015-05-07) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B., van Rens T.Publication Metadata only Ücret Eşitsizliğinin Mesleklere Göre Ayrıştırılması: 2005-2017(Efil Yayınevi, 2021-01-01) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B.Publication Metadata only Cyclical and structural determinants of involuntary part-time employment in Turkey(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD) ERİŞ DERELİ, BİLGE; Duzgun Oncel, Burcu; Eris Dereli, BilgeWe examine the correlates of involuntary part-time employment in Turkey. We contribute to previous studies regarding Turkey on two aspects. First, we focus on the cyclical and structural components that capture both labour demand and supply conditions, respectively. Second, we control for sample selection bias by applying a recursive bivariate model. We find that involuntary part-time employment is more common among males and moves with unemployment rate. Estimation results present a strong association between involuntary part-time employment and structural factors.Publication Metadata only Time-related underemployment in Turkish labor market(IJOPEC Publication, 2021-01-01) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B.Underemployment has been an important labor market indicator as well as employment rate, unemployment rate and labor force participation rate over the last decades. This study uses the Household Labor Force Surveys between 2009 and 2020 to analyze the evolution and determinants of underemployment in Turkish Labor Market. TURKSTAT’s time-related underemployment definition is used to define underemployment. Time-related underemployment involve people employed in the reference week, who actually worked less than 40 hours and are willing to work extra hours and are available to do so. Heckman’s two-stage estimation methodology is adopted to examine the impact of individual, firm and occupational characteristics on underemployment. Statistics indicate that underemployment rate jumped to 4% in 2020. Moreover, being a female, acquiring higher education level, being married, working in bigger firms, working in firms operating in the public sector are the factors that decrease the likelihood of being underemployed. The relationship between underemployment and age displays an inverted U-shape. There is a positive association between working in a permanent job relative to a temporary job and the likelihood of being underemployed.Publication Metadata only Occupational mobility and mismatch unemployment(2016-01-03) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B., van Rens T.Publication Metadata only The Returns to Field of Study in Turkish Labor Market: A Pseudo-Panel Approach(2022-01-01) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B.Abstract: This study employs pseudo-panel fixed-effects approach to estimate the returns to field of study in Turkey. Repeated cross sections of Turkish Labor Force Surveys between 2016-2019 are used. Year of birth and region are used as grouping variables. The results indicate significant earnings differences across field of study when cohort-fixed effects are controlled. Relative to the base field, Education Sciences, there are higher returns to Environmental Sciences & Mathematics & Statistics and Engineering & Manufacturing & Architecture and Health & Welfare. On the other hand, there are lower returns to Social Sciences & Journalism. The earnings differences are insignificant for the fields Art & Humanities & Languages and Business Administration & Law and Agriculture & Veterinary. These findings are important both for an individual’s subject choice at university and education policies targeting to allocate resources more effectively to tertiary education.Publication Metadata only Socio-demographic characteristics and risk of automation in Turkish Labor Market(IVPE, 2022-01-01) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B.Publication Metadata only Why having a job is not always enough to get out of poverty: Evidence from Turkey(2023-12-12) ACET DÖNMEZ, GİZEM; ERİŞ DERELİ, BİLGE; Acet Dönmez G., Eriş Dereli B.Employment is often regarded as a key to getting out of poverty. However, having a job is not always sufficient to escape from being poor. In-work poverty is a prevalent phenomenon in many countries nowadays. This paper seeks possible explanations for working poverty by using the at risk of poverty or social exclusion (AROPE) definition of Eurostat and taking Turkey as a case study. For this purpose, it first measures AROPE among the working population utilizing the Survey of Income and Living Conditions (SILC) for the year 2022 and finds that 21.95 per cent of the working population in Turkey are poor. Considerable heterogeneity in poverty rates is observed between sectors. For instance, while more than 35 per cent of the workers in the construction, electricity, and agriculture sectors are poor, this ratio is less than five per cent in finance and insurance activities. There are also significant differences in poverty risks between regions. Intraclass correlation coefficient (ICC) indicates that 14 per cent of the variation in the probability of being poor or not is explained by regional effects at the NUTS-2 level. Therefore, correlates of in-work poverty are investigated through a multilevel logistic regression analysis where both the individual and regional level characteristics are considered. In these estimations, job sectors are controlled to reveal within-sector effects. Preliminary findings show that public employment, social security registration, and higher years of schooling are associated with a lower probability of working poverty, while household dependency raises this risk. Furthermore, compared to the self-employed, employers are much less likely to be poor, whereas casual employees and regular employees are more vulnerable to poverty. Finally, it is found that while an increase in regional GDP per capita lowers the poverty risk, a rise in regional unemployment rate and Gini exacerbates it.Publication Open Access A Pseudo-panel analysis of the returns to field of study(2021-05-01) ERİŞ DERELİ, BİLGE; ERİŞ DERELİ B.This study employs pseudo-panel fixed-effects approach to estimate the returns to field of study in Turkey. Repeated cross sections of Turkish Labor Force Surveys between 2016-2019 are used. Year of birth and region are used as grouping variables. The results indicate significant earnings differences across field of study when cohort-fixed effects are controlled. Relative to the base field, Education Sciences, there are higher returns to Environmental Sciences & Mathematics & Statistics and Engineering & Manufacturing & Architecture and Health & Welfare. On the other hand, there are lower returns to Social Sciences & Journalism. The earnings differences are insignificant for the fields Art & Humanities & Languages and Business Administration & Law and Agriculture & Veterinary.Publication Metadata only Firm-related characteristics, regional factors and female employment in Turkey(Gazi Kitabevi, 2021-01-01) DÜZGÜN ÖNCEL, BURCU; ERİŞ DERELİ, BİLGE; DÜZGÜN ÖNCEL B., ERİŞ DERELİ B.