Estimation of the efficiency of structural funds: a parametric and nonparametric approach

This article seeks to perform an analysis of the efficiency of the application of the structural funds in the regions classified as Objective 1 over the period 2000 to 2006, applying the techniques known as Data Envelopment Analysis (DEA) and stochastic frontier. In the first place, we are going to identify which are the most efficient regions. Finally, we will analyse the extent to which certain factors have repercussions on the efficiency such as country, geographical location and contribution of agriculture of Gross Domestic Product (GDP) and the result indicates that some of these variables have significantly influences of technical efficiency.     

Evaluating the performance of higher education institutions in Europe: a nonparametric efficiency analysis of 944 institutions

Although a long tradition exists of studying the economics of education, performance comparisons of different kinds have traditionally been difficult to undertake. An important impediment has been the lack of comparable data. To a large extent, this study remedies the shortcomings of earlier studies. Our contribution is twofold. First, the current higher education policy of contraction and economizing, common to most European countries, make knowledge of potential efficiency gains crucial. Second, a unique database allows us to study a broad diversity of organizations as well as organizations located in a number of different European countries. The study suggests evaluating higher education institution (HEI) performance in a production theory context, applying the well-known data envelopment analysis (DEA) method to a cross section of 944 HEIs in 17 European countries. The DEA approach is particularly suitable in this context where little is known about production technologies and economic behaviour of the HEIs. On average, provision of education is found to be most efficient in the Slovak Republic followed by Belgium and Latvia, while Denmark and Norway display the lowest efficiency. The study also indicates a positive relation between efficiency and HEI size and efficiency and research intensity. Furthermore, the study points to the importance of continued data collection.     

The 'paradox' of F. Graham (1890-1949): a study in the theory of international trade

The aim of this paper is to investigate the origins of the protection argument based on increasing and decreasing returns to scale. The development of this theoretical framework is outlined in order to argue that F. Graham's demonstration consists of a synthesis of previous work. We then discuss the debate that took place in the 1930s, which ended with the rejection of Graham's argument as being a paradox or a theoretical curiosity.     

The evolution of stock market efficiency in the US: a non-Bayesian time-varying model approach

A non-Bayesian time-varying model is developed by introducing the concept of the degree of market efficiency that varies over time. This model may be seen as a reflection of the idea that continuous technological progress alters the trading environment over time. With new methodologies and a new measure of the degree of market efficiency, we examine whether the US stock market evolves over time. In particular, a time-varying autoregressive (TV-AR) model is employed. Our main findings are: (i) the US stock market has evolved over time and the degree of market efficiency has cyclical fluctuations with a considerably long periodicity, from 30 to 40 years; and (ii) the US stock market has been efficient with the exception of four times in our sample period: during the long recession of 1873–1879; the recession of 1902–1904; the New Deal era; and the recession of 1957–1958 and soon after it. It is then shown that our results are partly consistent with the view of behavioural finance.