Previous research that investigated the relationship between the black market and the official exchange rate employed cointegration analysis to establish the long-run relationship and Granger causality to detect the short-run causality between the two rates (for a small number of countries). In...

The literature on income inequality includes many studies that have tried to identify factors such as level of economic development, rate of economic growth, population growth, resource endowment, price instability, and openness as main determinant of income inequality. In this paper, we show...

Testing purchasing power parity (PPP) using black market exchange rate data has gained popularity in recent times. It is claimed that black market exchange rate data more often support the PPP than the official exchange rate data. In this study, to assess both the long run stability of exchange...

The primary purpose of this article is to conduct the Fourier Nonlinear Unit Root Test to check Purchasing Power Parity (PPP) for seven cryptocurrencies traded in seventeen countries from 2010 to 2021. The unit root test provides moderate support to the PPP hypothesis when we use each...

This paper investigates the forces driving output growth, namely technological, efficiency, and input changes, in 80 countries over the period 1970-2000. Relevant past studies typically assume that: (i) countries use resources efficiently, and (ii) the underlying production technology is the...

This paper focuses on the analysis of the long-run response of the Real Exchange Rate (RER) to political risks and tests whether non-economic variables have an impact on RER in 31 emerging and developing countries. We use annual data from the International Country Risk Guide database over the...

Previous studies that included the exchange rate in the Korean demand for money assumed that the effects of the exchange rate changes are symmetric and adjustment process is linear. They found no significant effects. In this paper we apply Shin et al.'s (2014) Nonlinear ARDL approach to...