Effect of foreign trade on industrial employment: the case of Turkey
APPLIED ECONOMICS, cilt.52, sa.55, ss.6075-6089, 2020 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 52 Sayı: 55
- Basım Tarihi: 2020
- Doi Numarası: 10.1080/00036846.2020.1784384
- Dergi Adı: APPLIED ECONOMICS
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, IBZ Online, International Bibliography of Social Sciences, ABI/INFORM, Business Source Elite, Business Source Premier, CAB Abstracts, EconLit, Geobase, Index Islamicus, Public Affairs Index, Veterinary Science Database
- Sayfa Sayıları: ss.6075-6089
- Anahtar Kelimeler: Panel, Turkey, instrumental Variables Augmented Mean Group, employment, foreign Trade, UNIT-ROOT TESTS, INTERNATIONAL-TRADE, PANEL-DATA, UNEMPLOYMENT, LIBERALIZATION, DETERMINANTS, GAINS, RATES, MODEL, LABOR
- Hacettepe Üniversitesi Adresli: Evet
Özet
This study aims to define the main determinants of employment in Turkish manufacturing industry and to analyse foreign trade-employment relationship. Turkey's employment equation is estimated using panel data covering quarterly data for the period 2005-2015 and NACE Rev. 2. three digit manufacturing industry sectors. For this purpose Augmented Mean Group method is modified using instrumental variable techniques. Augmented Mean Group (AMG) method is a newly developed panel estimation method that takes into consideration cross-sectional dependency and parameter heterogeneity. However, the method does not take into consideration endogeneities. We offer a new estimation method 'Instrumental Variables Augmented Mean Group (IV-AMG)' to extent AMG to account for endogeneities and compare the results obtained by the two estimators. Regression analyses show that, when there are endogeneities, AMG method gives implausible results.