What are We Missing? Quantitative Analysis of Time-Related Underemployment

Onur Yavaş; Bilal Coşan

Makale detayları

What are We Missing? Quantitative Analysis of Time-Related Underemployment

Yazarlar:

Onur Yavaş | Bilal Coşan

Yayıncı:

Istanbul University

Ana Başlıklar:

Çalışma Ekonomisi

Dergi:

Sosyal Siyaset Konferansları Dergisi Issue 87, pp.126-141

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001341695

pISSN:

1304-0103

Anahtar kelimeler:

Özet:

 This research aims to analyse the variables that influence time-related underemployment in Türkiye. The sample was derived from the 2022 Household Labour Force Statistics microdataset from the Turkish Statistical Institute TURKSTAT. First, descriptive statistics were used to analyse the distribution of time-related underemployment across the sub-sample groups. For the difference analysis, the MannWhitney U and Kruskal Wallis-H tests were applied. Finally, binary logistic regression analysis was used to identify the determinants of time-related underemployment. All the independent variables, which were categorised as individual, social, and work-related, were found to result in statistically significant differences between the sub-sample groups. Furthermore, the findings indicate that gender, age, level of education, marital status, proximity, region of residence, Social Security Institution SSI registration, and workplace situation variables are significant predictors of time-related underemployment. In contrast, the analysis revealed that household size did not emerge as a significant predictor. When considered collectively, these independent variables account for 19.2 of the variance in time-related underemployment risk.

 This research aims to analyse the variables that influence time-related underemployment in Türkiye. The sample was derived from the 2022 Household Labour Force Statistics microdataset from the Turkish Statistical Institute TURKSTAT. First, descriptive statistics were used to analyse the distribution of time-related underemployment across the sub-sample groups. For the difference analysis, the MannWhitney U and Kruskal Wallis-H tests were applied. Finally, binary logistic regression analysis was used to identify the determinants of time-related underemployment. All the independent variables, which were categorised as individual, social, and work-related, were found to result in statistically significant differences between the sub-sample groups. Furthermore, the findings indicate that gender, age, level of education, marital status, proximity, region of residence, Social Security Institution SSI registration, and workplace situation variables are significant predictors of time-related underemployment. In contrast, the analysis revealed that household size did not emerge as a significant predictor. When considered collectively, these independent variables account for 19.2 of the variance in time-related underemployment risk.

 This research aims to analyse the variables that influence time-related underemployment in Türkiye. The sample was derived from the 2022 Household Labour Force Statistics microdataset from the Turkish Statistical Institute TURKSTAT. First, descriptive statistics were used to analyse the distribution of time-related underemployment across the sub-sample groups. For the difference analysis, the MannWhitney U and Kruskal Wallis-H tests were applied. Finally, binary logistic regression analysis was used to identify the determinants of time-related underemployment. All the independent variables, which were categorised as individual, social, and work-related, were found to result in statistically significant differences between the sub-sample groups. Furthermore, the findings indicate that gender, age, level of education, marital status, proximity, region of residence, Social Security Institution SSI registration, and workplace situation variables are significant predictors of time-related underemployment. In contrast, the analysis revealed that household size did not emerge as a significant predictor. When considered collectively, these independent variables account for 19.2 of the variance in time-related underemployment risk.

 Bu araştırmanın amacı Türkiyede zamana bağlı eksik istihdamı etkileyen değişkenleri analiz etmektir. Çalışmanın örneklemi, 2022 yılına ait Türkiye İstatistik Kurumu TÜİK Hanehalkı İşgücü İstatistikleri mikro veri setinden elde edilmiştir. İlk olarak betimleyici istatistikler ile zamana bağlı eksik istihdamın alt örneklem grupları arasındaki dağılımı incelenmiştir. Mann-Whitney U ve Kruskal Wallis-H testleri ise farklılık analizleri için kullanılmıştır. Son olarak, ikili binary lojistik regresyon analizi aracılığıyla zamana bağlı eksik istihdamın belirleyicileri tespit edilmiştir. Bireysel, sosyal ve iş değişkenleri kategorilerinde yer alan bağımsız değişkenlerin tamamının alt örneklem grupları arasında istatistiki açıdan anlamlı farklılaşmalara yol açtığı görülmüştür. Ayrıca cinsiyet, yaş, eğitim düzeyi, medeni durum, yakınlık, yaşanılan bölge, Sosyal Güvenlik Kurumuna SGK kayıtlılık ve işyeri durumu değişkenlerinin zamana bağlı eksik istihdam riskini açıkladığı sonucuna ulaşılmıştır. Buna karşılık hanehalkı büyüklüğünün istatistiki açıdan anlamlı olmadığı saptanmıştır. Belirtilen bağımsız değişkenler, bir arada değerlendirildiğinde zamana bağlı eksik istihdam riskini 19,2 düzeyinde açıklamaktadır.

Makale detayları

What are We Missing? Quantitative Analysis of Time-Related Underemployment

Yazarlar:

Onur Yavaş | Bilal Coşan

Yayıncı:

Istanbul University

Ana Başlıklar:

Çalışma Ekonomisi

Dergi:

Sosyal Siyaset Konferansları Dergisi Issue 87, pp.126-141

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001341695

pISSN:

1304-0103

Underemployment

Time-Related Underemployment

Individual Variables

Social Variables

Work-Related VariablesEksik İstihdam

Zamana Bağlı Eksik İstihdam

Bireysel Değişkenler

Sosyal Değişkenler

İş Değişkenleri

Sayı

Makale detayları

Yazarlar: Onur Yavaş | Bilal Coşan

Yayıncı: Istanbul University

Ana Başlıklar: Çalışma Ekonomisi

Dergi: Sosyal Siyaset Konferansları Dergisi Issue 87, pp.126-141

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001341695

pISSN: 1304-0103

Sayı

Yazarlar:

Onur Yavaş | Bilal Coşan

Yayıncı:

Istanbul University

Ana Başlıklar:

Çalışma Ekonomisi

Dergi:

Sosyal Siyaset Konferansları Dergisi Issue 87, pp.126-141

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001341695

pISSN:

1304-0103