The study examines the day of the week effect on the Kuala Lumpur Composite Index of Bursa Malaysia using the daily data from 4th January 1999 to 29th December 2006. Employing the framework due to Hakan and Halil (2001) the study finds that the day of the week effect is present in Malaysian...

The present document resumes the work of tree papers regarding college selection system. These investigations evaluate the use of the “high school ranking” of students as a college selection variable. The authors evaluate the performance of students in the University of Chile, Catholic...

Contrary to current thinking which views the European brain drain as a transitory phenomenon, this paper shows, using a micro-data analysis, that, as far as Italy is concerned, such migration is permanent. The present study provides new empirical evidence on the propensity to return. The...

This paper investigates the impact of foreign remittances on economic growth of Pakistan. We use secondary time series data for the period of 1978 to 2011. The multiple regression analysis is used to identify the relationship among the variables. GDP is taken as dependent variable while foreign...

In this paper issue of gravity modeling in international trade has been investigated. Standard gravity equation augmented with other variables to control for transportation cost, whether trade partners are neighbors and whether country is landlocked, or countries participants in trade have had...

This study attempts to estimate the rate of inflation in Pakistan by a stochastic approach to index numbers which provides not only point estimate but also confidence interval for inflation estimate. There are two approaches to index number theory namely: the functional economic approach and the...

Most existing semi-parametric estimation procedures for binary choice models are based on the maximum score, maximum likelihood, or nonlinear least squares principles. These methods have two problems. They are difficult to compute and they may result in multiple local optima because they require...