In this paper, we study the so-called “wrong skewness” anomaly in Stochastic Frontiers (SF), which consists in the observed difference between the expected and estimated sign of the asymmetry of the composite error. We propose a more general and flexible specification of the SF model,...

Knowledge of the carbon emissions elasticities of income and population is important both for climate change policy/negotiations and for generating projections of carbon emissions. However, previous estimations of these elasticities using the well-known STIRPAT framework have produced such...

This paper ranks economic forecasts performances for two structural models against a benchmark of time series models, VAR and ARIMA, according to a set of statistical measures calculated for the main economic aggregates. The period of analysis covers twenty years for annual data (1985-2004) and...

This study examines the evolution of the number of ICT-skilled workers employed in industry sectors in the EU28 over the period 2000-2012. Data are taken from the Eurostat Labour Force Statistics. It introduces a novel definition of ICT specialists that combines occupations and skills...

The study develops the Blinder-Oaxaca decomposition technique for the independent double hurdle model. The proposed decomposition is done at the aggregate level. Using the Second Malawi Integrated Household Survey (IHS2), the paper applies the proposed decomposition to explain the rural-urban...

This paper attempts to assess the impact of treatment effect or programme applying difference in difference (DD) approach. This study also identifies that the DD estimators are biased under certain conditions.

The urban development process intends to enhance urban equipment, infrastructure and services to improve urban conditions and reduce inequalities. While planning activities usually demand a sizeable amount of data to assess these conditions, it is hard to find a straightforward procedure to...

In this work we found first derivatives for the log likelihood function of the multivariate probit model.

As is well known in systems theory, the parameter space of most dynamic models is stratified into subsets, each of which supports a different kind of dynamic solution. Since we do not know the parameters with certainty, knowledge of the location of the bifurcation boundaries is of fundamental...