FRACTIONAL REGRESSION MODEL FOR INVESTIGATING THE DETERMINANTS OF THE UNEMPLOYMENT RATES IN OECD COUNTRIES
- Resource Type
- Authors
- Tuba Koç; Haydar Koç; Emre Dünder
- Source
- Journal of Science and Arts. 21:423-428
- Subject
- 020209 energy
media_common.quotation_subject
0502 economics and business
05 social sciences
Unemployment
0202 electrical engineering, electronic engineering, information engineering
Economics
Regression analysis
Demographic economics
02 engineering and technology
Oecd countries
050207 economics
media_common
- Language
- ISSN
- 2068-3049
1844-9581
2000-2017
Unemployment is a serious problem for all over the world. It is a crucial task to endeavor with the unemployment for the welfare of the world. Once, the potential factors should be known to accomplish this task. The aim of this study is to investigate the determinants of the unemployment rates using fractional regression models for the 35 OECD (Organization for Economic Co-operation and Development) countries over the periods 2000-2017. We determined the factor affecting the unemployment rate by the fractional regression model using GMMbgw and GMMpre estimators for panel data. The empirical results revealed the significant determinants of unemployment as the result of the fractional regression models. Finally, we observe that saving rates, the growth rate of import and export are expressive on the unemployment rates