This paper aims at analyzing trends in TFP and labour productivity growth. Data Envelopment Analysis is used to estimate a technological frontier and to compare all nations to it. The estimation of Malmquist productivity index as TFP indicators allows to decompose labour productivity growth in...

The purpose of this paper is to analyze the relationship between public and private research funding. Data from Eurostat are used. The methodology applies econometric models based on regression analyses. The main results are: public R&D expenditure is a complement for private R&D one, but the...

The purpose of this paper is a comparative analysis of economic and technological performances of different countries. Data from Eurostat are used. The methodology applies descriptive statistics, correlation, regression and cluster analyses. The main results are: the best economic performance...

The purpose of this paper is to analyze the relationship between public and private funding for research. Data from Eurostat are used. The methodology applies descriptive statistics, correlation, regression and cluster analyses. The main results are: public funding for research crowds out...

This study analyses, through cross-section estimation methods, the influence of spatial effects in productivity (product per worker), at economic sectors level of the NUTs III of mainland Portugal, from 1995 to 1999 and from 2000 to 2005 (taking in count the data availability and the Portuguese...

This paper proposes a new method to measure and analyse the typology of regional economic growth and convergence The model was originally developed by biologists in their study of morphological change of organisms. The paper investigates Italian regions using data of Gross Domestic Product per...

Given a set of continuous variables with missing data, we prove in this paper that the iterative application of a simple “least-squares estimation/multivariate normal simulation” procedure produces an efficient parameters estimator. There are two main assumptions behind our proof: (1) the...

Multiplicative Error Models (MEM) can be used to trace the dynamics of non–negative valued processes. Interactions between several such processes are accommodated by the vector MEM and estimated by maximum likelihood (Gamma marginals with copula functions) or by Generalized Method of Moments....

In financial time series analysis we encounter several instances of non–negative valued processes (volumes, trades, durations, realized volatility, daily range, and so on) which exhibit clustering and can be modeled as the product of a vector of conditionally autoregressive scale factors and a...