Multivariate adaptive regression splines (MARS) has become a popular data mining (DM) tool due to its flexible model building strategy for high dimensional data. Compared to well-known others, it performs better in many areas such as finance, informatics, technology and science. Many studies...

This study estimates the neutral real interest rate and output gap jointly under two different multivariate unobserved components models. In the analyses, Kalman filter is applied to a small-scale macroeconomic model of the Turkish economy to estimate the unobserved variables for the period 1989...

Turkey’s business sector dynamism has underpinned broad-based and inclusive growth in the 2000s. However, the business sector is highly segmented, with a relatively small core of modern high-productivity corporations, and myriad small, less formal and low-productivity entities. This hampers...

In this paper, we produce short term forecasts for the inflation in Turkey, using a large number of econometric models. In particular, we employ univariate models, decomposition based approaches (both in frequency and time domain), a Phillips curve motivated time varying parameter model, a suite...

Bu çalışma, vektör öz gecikmeli (vector autoregression-VAR) modeller kullanarak Türkiye’de döviz kuru ve ithalat fiyatlarının çekirdek tüketici fiyatları (işlenmemiş gıda ve alkollü içecekler-tütün hariç TÜFE) üzerindeki etkisini (geçişkenlik etkisi) incelemektedir....