Bankacılık ve Finans Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/400
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Article An Outline of Skilled Emigration from Turkey to OECD Countries: A Panel Data Analysis(2017) Acar, Elif ÖznurTurkey provides rich evidence for the current international migration trends given its economic and demographic dynamics. The number of people moving overseas to settle permanently has been following an increasing trend in the recent decades, particularly remarkable for skilled and female groups. However, given the micro-level data limitations the migration outlook of Turkey is still quite bleak. The aim of this paper is to fill this gap and analyze the relationship between migration and human capital in the context of Turkish immigrants. First, aggregate trends of the Turkish emigrants in the 20 OECD destination countries by gender and educational level over the 1980-2010 period are examined using the IAB Brain Drain dataset. Next, a random effects panel estimation is applied to scrutinize the underlying dynamics of observed migration patterns adopting economic size, unemployment, demographic profile, urbanization and proximity as explanatory variables. The results reveal that gender, time and education are found as significantly related to international mobility trends, and the substantially left-skewedness of the distribution of Turkish emigrants along educational level is gradually fading away over time.Article Defining and Measuring Informality: The Case of Turkish Labor Market1(2015) Acar, Elif Öznur; Tansel, AysıtIn this study, we consider how informality can be defined and measured in the Turkish labor market. The empirical analysis consists of developing three alternative definitions of labor informality, and exploring the relevance and implications of each for the Turkish labor market using descriptive statistics and multivariate probit analysis of the likelihood of informality under each definition. We find that social security registration criterion is a better measure of informality in the Turkish labor market given its ability to capture key relationships between several individual and employment characteristics and the likelihood of informality.Article An Outline of Skilled Emigration from Turkey to OECD Countries: A Panel Data Analysis(2017) Acar, Elif ÖznurTurkey provides rich evidence for the current international migration trends given its economic and demographic dynamics. The number of people moving overseas to settle permanently has been following an increasing trend in the recent decades, particularly remarkable for skilled and female groups. However, given the micro-level data limitations the migration outlook of Turkey is still quite bleak. The aim of this paper is to fill this gap and analyze the relationship between migration and human capital in the context of Turkish immigrants. First, aggregate trends of the Turkish emigrants in the 20 OECD destination countries by gender and educational level over the 1980-2010 period are examined using the IAB Brain Drain dataset. Next, a random effects panel estimation is applied to scrutinize the underlying dynamics of observed migration patterns adopting economic size, unemployment, demographic profile, urbanization and proximity as explanatory variables. The results reveal that gender, time and education are found as significantly related to international mobility trends, and the substantially left-skewedness of the distribution of Turkish emigrants along educational level is gradually fading away over time.Conference Object Citation - WoS: 13The Formal/Informal Employment Earnings Gap: Evidence From Turkey(Emerald Group Publishing Ltd, 2016) Acar, Elif Oznur; Tansel, AysitThis study investigates the formal/informal employment earnings gap in Turkey. We focus on the earnings differentials that can be explained by observable characteristics and unobservable time-invariant individual heterogeneity. We first, estimate the standard Mincer earnings equations using ordinary least squares (OLS), controlling for individual, household, and job characteristics. Next we use, panel data and the quantile regression (QR) techniques in order to account for unobserved factors which might affect the earnings and the intrinsic heterogeneity within formal and informal sectors. OLS results confirm the existence of an informal sector penalty almost half of which is explained by observable variables. We find that formal-salaried workers are paid significantly higher than their informal counterparts and of the self-employed confirming the heterogeneity within the informal employment. QR results show that pay differentials are not uniform along the earnings distribution. In contrast to the mainstream literature which views informal self-employment as the upper-tier and wage-employment as the lower-tier, we find that self-employment corresponds to the lower-tier in the Turkish labor market. Finally, fixed effects estimation indicates that unobserved individual characteristics combined with controls for observable characteristics explain the pay differentials between formal and informal employment entirely in the total and the female sample. However, informal sector penalty persists in the male sample.