This paper estimates the US Taylor rule for the period 1997 – 2010, with monthly data, a period characterized by two recessions and asset markets turbulences. Its novelties are that, firstly, we follow Weise and Barbera (2009) and include in the Taylor rule credit spreads (a variable which...

This paper uses recent US data to estimate the new Keynesian Phillips curve (NKPC) with three modifications. Firstly, the variables in the NKPC are found to be nonstationary. Therefore, it is estimated with the time series methods and the cointegrating equations are tested for structural breaks....

This work shows that Italian consumer confidence indicator (CCI) is non-stationary and, therefore, can be estimated with the time series methods. It is found that a long-run relationship exists between CCI, short-term interest rate, industrial production index and the difference between...

This article examines the existence and stability of the consumption function in the United States of America (US) economy during a sample period, beginning in the 1950s. In order to obtain a stable long run relationship, we have introduced two innovative elements into the analysis of the...

This paper reconsiders the A versus K debate, namely, which factor is the leading contributor to economic growth? productivity gains (A) or factor accumulation (K). The growth accounting analysis is conducted for ten Middle Eastern and North African (MENA) countries over the period 1960-1998....

This paper examines the causal relationship between financial development and economic growth in Egypt during the period 1960-2001 within a trivariate VAR setting. We employ four different measures of financial development and apply Granger causality tests using the cointegration and vector...

This paper examines the causal relationship between financial development and economic growth in five Middle Eastern and North African (MENA) countries for different periods ranging from 1960 to 2004, within a trivariate vector autoregressive (VAR) framework. We employ four different measures of...