Acar, Elif Öznur
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Acar, Elif Oznur
Job Title
Doç. Dr.
Email Address
elifoznurkan@cankaya.edu.tr
Main Affiliation
03.06. Uluslararası Ticaret ve Finansman
Uluslararası Ticaret ve Finansman
03. İktisadi ve İdari Birimler Fakültesi
01. Çankaya Üniversitesi
Uluslararası Ticaret ve Finansman
03. İktisadi ve İdari Birimler Fakültesi
01. Çankaya Üniversitesi
Status
Current Staff
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Sustainable Development Goals
13
CLIMATE ACTION

0
Research Products
8
DECENT WORK AND ECONOMIC GROWTH

14
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3
GOOD HEALTH AND WELL-BEING

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15
LIFE ON LAND

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17
PARTNERSHIPS FOR THE GOALS

2
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14
LIFE BELOW WATER

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4
QUALITY EDUCATION

1
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11
SUSTAINABLE CITIES AND COMMUNITIES

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6
CLEAN WATER AND SANITATION

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10
REDUCED INEQUALITIES

4
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9
INDUSTRY, INNOVATION AND INFRASTRUCTURE

0
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12
RESPONSIBLE CONSUMPTION AND PRODUCTION

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2
ZERO HUNGER

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Research Products
1
NO POVERTY

1
Research Products
7
AFFORDABLE AND CLEAN ENERGY

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5
GENDER EQUALITY

3
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS

1
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Scholarly Output
16
Articles
11
Views / Downloads
778/1687
Supervised MSc Theses
2
Supervised PhD Theses
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WoS Citation Count
47
Scopus Citation Count
42
WoS h-index
3
Scopus h-index
2
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0
Projects
0
WoS Citations per Publication
2.94
Scopus Citations per Publication
2.63
Open Access Source
11
Supervised Theses
2
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16 results
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Master Thesis Türkiye'de Çocuk Yoksulluğu(2024) Telseren, Özge; Acar, Elif ÖznurBu çalışma, ilk olarak yoksulluğu ve çocuk yoksulluğunu tarihsel süreç içerisinde inceleyerek, yoksulluğu tanımlamayı ve çocuk yoksulluğunun neden ayrı olarak ele alınması gerektiğini açıklamayı amaçlamaktadır. Daha sonra çocukların aileye bağımlı olduğu gerçeği göz önünde bulundurularak, hane halkı geliri, ebeveynlerin çalışma durumu, ebeveynlerin eğitim düzeyi, tek ebeveynlik, hane büyüklüğü ve yapısı, konutun mülkiyet durumu ve konut içi yoksunluklar, bölgesel ekonomik farklılıklar gibi bilgiler ışığında çocuk yoksulluğu incelenecektir. Dünyada ve ülkemizde çocuk yoksulluğuna ait veriler kullanılarak çocuk yoksulluğu incelenecek ve ardından çözüm önerileri sunulacaktır.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 Citation - WoS: 12Citation - Scopus: 16Labor Mobility Across the Formal/Informal Divide in Turkey Evidence From Individual-Level Data(Emerald Group Publishing Ltd, 2017) Acar, Elif Oznur; Tansel, AysitPurpose - This paper, the first one to use individual-level Turkish panel data, examines the labor market transitions in Turkey along the formal/informal employment divide. The purpose of this paper is to contribute to the limited body of empirical evidence available on mobility and informality in the Turkish labor market. Design/methodology/approach - Toward this end, the authors use Turkish income and Living Conditions Survey panel data for 2006, 2007, 2008 and 2009 to compute the Markov transition probabilities of individuals moving across six different labor market states: formal-salaried (FS), informal-salaried, formal self-employed, informal self-employed, unemployed and inactive. In order to examine the nature of mobility patterns in more detail, the authors then estimate six multinomial logit models individually for each transition adopting a number of individual and employment characteristics as explanatory variables. Findings - The authors find evidence that mobility patterns are fairly similar across different time spans, the probability of remaining in initial state is higher than the probability of transition into another state for all the labor market states, except for unemployment, there is only very limited mobility into the FS state. Gender, education and sector of economic activity are observed to display significant effects on mobility patterns. The results reveal several relationships between the covariates and likelihood of variant transitions. Research limitations/implications - This study provides a comprehensive and detailed diagnosis of the Turkish labor market. The market is observed to display a rather static structure throughout the period considered. The results indicate that a well recognition of underlying dynamics may help policy makers to produce various effective tools for addressing informality. Originality/value - First study to analyze labor market mobility across formal/informal sectors using newly available panel data.Article Citation - WoS: 22Citation - Scopus: 26An Empirical Analysis of Household Education Expenditures in Turkey(Pergamon-elsevier Science Ltd, 2016) Cilasun, Seyit Mumin; Acar, Elif Oznur; Gunalp, BurakUsing Turkish Household Budget Surveys from 2003, 2007 and 2012, this paper investigates the determinants of household education expenditures within an Engel curve framework. In particular, we estimate Tobit regressions of real educational expenditures by income groups using a number of household characteristics (i.e. rural residence, employment status, age, educational attainment of the household head, household size, share of female students and primary school students in the household, and total number of students in the household) to examine if and to what extent the determinants of educational expenditures differ by income groups; income elasticities of educational spending evolves over time; and children from middle-class and poor families can benefit enough from educational opportunities. The estimated expenditure elasticities have lower values for the top- and the bottom income quartiles while they have larger values for the middle-income quartiles. The results also show that for all income groups the expenditure elasticity of education increases over time, indicating that Turkish households allocates greater share of their budgets to education expenditures. (C) 2016 Elsevier Ltd. All rights reserved.Other Can Us Wage Increases Be Regarded as A\rleading Indicator for Bond Rates(2020) Acar, Elif Oznur; Özşuca, Ekin AyşeAfter the subprime meltdown, the Federal Reserve focused its attention on US non-\rfarm payroll data in order to pave the way for its fund rate hikes. As time went by,\rthe Federal Reserve deemed particularly one sub-component of this data, namely the\rincrements on average weekly wage growth as a proxy for in\ration and thus a plausible\rexplanation for raising the interest rates. In that aspect, we decide to elaborate on this\rissue further and examine whether this implemented strategy indeed had a re\rection in\rthe real market. For doing so, we intend to determine whether there is any causality\rrelation in either direction between US average weekly wage increases and 10-year\rTreasury Bond rates. We utilize the Toda-Yamamoto causality approach and come\rup with a statistically signicant result between wages and bond rates. For robustness,\rwe also consider the unemployment rate and consumption expenditures as independent\rvariables.Article Türkiye İşgücü Piyasasında Kayıtdışılığın Tanımı ve Ölçümü(2016) Acar, Elif Oznur; Tansel, AysıtBu çalışmada kayıtdışılığın Türkiye istihdam piyasasında tanımlanması ve ölçülmesi konusu incelenmektedir. Çalışmanın ampirik bölümünde, kayıtdışı istihdam için dünya literatürüne paralel olarak üç farklı tanım geliştirilmektedir. Bunlardan ilki, kayıtdışılığı küçük ölçekli işyerlerine özgü bir kavram olarak ele alınan işletme temelli tanımdir. İkincisi, işletme temelli tanıma sosyal güvenlik sistemi kapsamında bulunma kriteri getirilerek oluşturulan tanımdır. Üçüncüsü ise, işletme ölçeklerinden bağımsız, sadece sosyal güvenlik sistemi kapsamında bulunma durumuna göre tarif edilen kayıtdışılıktır. Betimsel analizler ve probit modelleme tekniği kullanılarak yaptığımız analizler, bireylerin karakteristik özellikleriyle kayıtdışılık durumlarını ilişkilendirme gücü en yüksek olan tanımın, sosyal güvenlik tanımı olduğunu göstermiştir.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.Book Türkiye'de Emek Piyasasında İşgücü Geçişleri(Gazi Kitabevi, 2016) Cılasun, Seyit Mümin; Günalp, Burak; Acar, Elif ÖznurArticle Kadınların İşgücüne Katılım Oranının Belirleyicileri: Türkiye Örneği(2016) Fraker, Andrew; Acar, Elif OznurTürkiye'de kadınların işgücüne katılım oranı yüzde otuzun altındadır ve bu oranla Türkiye, dünya sıralamasında en geri sıralarda yer almaktadır. Bu çalışma, 2014 Dünya Kalkınma Göstergeleri verilerini kullanarak, Türkiye'de kadınların işgücüne katılım oranını etkileyen iktisadi, demografik, eğitim ve din ile ilgili unsurları çoklu regresyon modeli ile analiz etmeyi amaçlamaktadır. Çalışmanın temel bulgusu, Türkiye'deki gözlemlenen kadın işgücüne katılım oranının ülkenin karakteristik özellikleri kontrol edildiğinde tahmin edilen değerin üstünde olduğudur. Din unsurunun kadınların ekonomik hayata katılımındaki etkisinin, benzer Müslüman çoğunluklu ülkelere kıyasla Türkiye'de daha düşük olduğu sonucu ortaya çıkmaktadır.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.

