This is an introductory article which explains the importance of explicit consideration and modeling of causality, contrary to current econometric practice, in order to use data set for extraction of meaningful information. One of the easiest to understand approaches to causality is via...

Philosophy of current knowledge distinguishes facts from values. It maintains that facts are objective, indisputable, universally verifiable and do not require to persuade. Since rhetoric is persuasion it is assumed to be deceptive and overlook reality. Therefore, statistics in its current form...

In this study, the price and income elasticities of Turkey's imported crude oil demand are analysed. In this context, annual time series data covering the period 1970-2018 are preferred for imported crude oil, real price for crude oil and real GDP. As known, Turkey is an energy dependent country...

This research aims at exploring whether simple trading strategies developed using state-ofthe-art Machine Learning (ML) algorithms can guarantee more than the risk-free rate of return or not. For this purpose, the direction of S&P 500 Index returns on every 6th day (SPYRETDIR6) and magnitude of...

Using sigma and beta convergence methods, this study tests economic convergence in Turkish NUTS-2 regions between 2004-2011. The findings of sigma convergence analysis show that the interregional income gap decreases during economic recession periods and increases during economic expansion...

Structural changes are quite common in macroeconomic time series. Moreover, any underlying macroeconomic relationship cannot be correctly specified unless we know the true model. Structural changes in time series and misspecification in empirical model are observed as shifts in the constant of...

This study has carried out some preliminary time series analyses to examine the impacts of demonetization which was carried out in India on 8 November 2016, on the well-known Indian stock index, BSE SENSEX, and four major sectoral indices viz., BSE BANKEX, BSE Auto, BSE Reality and BSE Smallcap,...

The four most readily available tests of autocorrelation in dynamic models namely Durbin's M test, Durbin's H test, Breusch-Godfrey (BGF) test and Ljung and Box (Q) test are compared in terms of their power for varying sample sizes, levels of autocorrelation and significance using Monte Carlo...

In the literature, although many studies are describing the structural break in the linear regression model with time-series data, studies investigating this issue with cross-sectional data are limited. In this study, the performance evaluation of some approaches used to determine the structural...

Global liquidity has been more and more important in the last couple of years and everbody from media to policymakers are talking about it. In order to shed light on the effects of global liquidity, we investigate the impact of global liquidity expansion on major macroeconomic variables of G-7...