FRACTIONAL REGRESSION MODEL FOR INVESTIGATING THE DETERMINANTS OF THE UNEMPLOYMENT RATES IN OECD COUNTRIES
| Autor: | Tuba Koç, Haydar Koç, Emre Dünder |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
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 |
| Zdroj: | Journal of Science and Arts. 21:423-428 |
| ISSN: | 2068-3049 1844-9581 2000-2017 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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