Forecasting inflation in Turkey: A comparison of time-series and machine learning models

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AKBULUT H.

ECONOMIC JOURNAL OF EMERGING MARKETS, cilt.14, sa.1, ss.55-71, 2022 (ESCI)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.20885/ejem.vol14.iss1.art5
  • Dergi Adı: ECONOMIC JOURNAL OF EMERGING MARKETS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
  • Sayfa Sayıları: ss.55-71
  • Anahtar Kelimeler: inflation forecasting, time series models, machine learning models, emerging economies, PHILLIPS-CURVE
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Purpose - This paper aims to analyze inflation in Turkey. For this purpose, the accuracy of some Machine Learning (ML) models in forecasting inflation have been tested a new and complementary approach has been tried to be given to time series models.