This paper investigates the impact of foreign direct investment (FDI) and corruption on environmental pollution in Tunisia over period 1984–2014 by applying an autoregressive distributed lag model. Our results revealed existence Environmental Kuznets Curve Tunisian case. The haven hypothesis postulates that polluting industrial activity developed countries is shifting to developing with less st...

An increase in credit, especially consumption can trigger aggregate demand growth above potential output which causes the economy to heat up. This study aims analyze effect of macroeconomic variables, such as interest rates, inflation, and gross domestic product (GDP), on for property credit Indonesia with period January 2011 – December 2018. The results show that short term, rate lag 1 2, infl...

abstract the purpose of this paper is to test the hypothesis first proposed by romer (1993); suggesting that inflation is lower in more open economies. according to this hypothesis, central banks have a lower incentive to engineer surprise inflations in more-open economies because the phillips curve is steeper. furthermore, comparing with other empirical studies, this paper has used the new kof...

in this paper, the effect of financial liberalization on household’s budget liquidity constraint is analyzed with the use of an error correction model. financial liberalization will decline liquidity constraint, with expanding means of making future incomes available for present consumption. here a financial liberalization index for iran is defined using principal component analysis technique, ...

We consider the static and dynamic models of Cournot duopoly with tax evasion. In the dynamic model we introduce the time delay and we analyze the local stability of the stationary state. There is a critical value of the delay when the Hopf bifurcation occurs. Mathematics Subject Classification: 34K18, 47N10; Jel Classification: C61, C62, H26

In this paper, we describe how to solve Model A (finite number of countries complete markets) of the JEDC project by using a simulation-based Parameterized Expectations Algorithm (PEA). JEL classification : C6; C63; C68; C88

conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...