Using state-of-the-art recurrent neural network architectures, this study attempts to predict credit default swap risk premia for BR[I]CS countries as accurately as possible. In the time series setting, these recurrent neural networks are ELMAN, NARX, GRU, and LSTM RNNs, considering local and...

This paper investigates whether there is a convergence in the wage differentiation among regions in Turkey between couples who work in the same industry and those who work in different industries. The Turkish Household Labor Force Surveys from 2004 to 2014 are utilized as the main data. Previous...

In this research, a statistical system is designed to understand, interpret, and quantify the reports issued by the Central Bank of the Republic of Turkey (CBRT), an institution that also drives expectations and shapes the market to all agents are related to them. The corpora are CBRT's...

In this paper, wage differentiation patterns for Turkey in terms of the couples who are working in the same industry and the ones who are working in different industries are investigated. In order to do this, the Turkish Household Labor Force Surveys from 2004 to 2014 are utilized. In the...

This article explores the relationship between non-electoral political participation and political trust which can indicate the legitimacy of such institutions. We utilize the Wave 7 of World Values Survey to test such relationships in countries classified as democratic and non-democratic in...

This study examines whether there is convergence in military expenditures among NATO countries by using Philips and Sul (2007) convergence methodology. We obtained the primary dataset of 27 NATO member countries between 2009 and 2021 for their military expenditures to accomplish this. The...

This study tries to predict as accurately as possible CDS risk premia for BRICS countries by utilizing state-of-the-art recurrent neural network architectures. These are ELMAN, NARX, GRU, and LSTM RNNs in the time series setting, taking into account both local and global features. The predictive...