Multivariate Panel Cointegration Models and Money Demand Function

Estimating And Forecasting Demand For Broad Money In Iran Through Cointegration Analysis And Stochastic Simulation

Estimation of Money Demand Function in Iran Including Households Religious Costs: A NARDL Approach

Money demand determinants vary in every economy. There are many studies about Iran money demand function, which employed different variables and estimation methods. In this study, broad money (M2) is dependent variable and GDP, interest rate, exchange rate and household religious costs are descriptive variables. Household religious costs (urban and rural) are included in Iran money demand funct...

Electricity Demand in MENA Countries: A Panel Cointegration Analysis

Abstract In this study, we applied recently developed panel unit root and cointegration techniques to examine the long-run real income per capita and price elasticities for demand of electricity in selected Middle East and North African (MENA) countries using an annual data series from 1990 to 2011.Our main finding from the panel analysis is that the demand for electricity is highly price ela...

Error-Correction Based Panel Estimates of the Demand for Money of Selected Asian Countries with the Extreme Bounds Analysis

This paper uses the extreme bounds analysis (EBA) of Leamer (1983 &1985) to analyze the robust determinants of the demand for money in a panel of 17 Asian countries for the period 1970 to 2009. These robust determinants are found to be unit root variables. Therefore, cointegration between these variables is tested with a recent time series panel method developed by Westerlund (2007). This metho...

Balassa-Samuelson Effect in the CEECs?

This paper offers a detailed assessment of the Balassa-Samuelson (BS) effect in eight Central and Eastern European countries (CEEC8). Several features distinguish this study from others: First, we investigate a variety of specifications of extended models. Nonhomogeneity of wages, deviations from PPP in tradables and demand side variables are found to importantly contribute to explain inflation...