This paper investigated the impact of Foreign Direct Investment on some selected macro-economic variables such as real GDP, gross fixed capital formation and unemployment. Data for the variables were sourced from the Central Bank of Nigeria’s Statistical Bulletin. For the assessment of this...

Economic modelers or econometricians know that they have to control the accuracy of the computations, to get their results safe. Unfortunately, even if a few softwares allow to control it (especially in using an interval arithmetic), most of them are presented like black boxes, from an...

Es el primero de una serie de documentos de carácter académico sobre el uso en econometría del software Stata. En econometría es necesario el uso continuo de software especializado tanto en la docencia como en la investigación aplicada. El objetivo de este documento es introducir al lector...

In empirical studies it often happens that some variables for some units are far away from the other observations in the sample. These extreme observations, or outliers, often have a large impact on the results of statistical analyses – conclusions based on a sample with and without these...

This paper empirically investigates the impact of the Global financial crisis on the efficiency of four Central and Eastern European emerging unit-linked insurance markets, applying the automatic variance ratio (AVR) test of Kim (2009) and variance ratio tests using ranks and signs by Wright...

Beta regression - an increasingly popular approach for modeling rates and proportions - is extended in various directions: (a) bias correction/reduction of the maximum likelihood estimator, (b) beta regression tree models by means of recursive partitioning, (c) latent class beta regression by...

"Methods for the analysis of linked employer-employee data are not yet available in standard econometrics packages. In this paper, we make the fixed-effects methods developed orginally by Abowd, Kramarz, Margolis and others more accessible, where possible, and show how they can be implemented in...

PySAL is an open source library for spatial analysis written in the object-oriented language Python. It is built upon shared functionality in two exploratory spatial data analysis packages--GeoDA and STARS--and is intended to leverage the shared development of these components. This paper...

This paper aims at explanation of the R-package HAC, which provides user friendly methods for dealing with high-dimensional hierarchical Archimedean copulae (HAC). A computationally ecient estimation procedure allows to recover the structure and the parameters of HACs from data. In addition,...

Structured additive regression (STAR) models provide a flexible framework for modeling possible nonlinear effects of covariates: They contain the well established frameworks of generalized linear models (GLM) and generalized additive models (GAM) as special cases but also allow a wider class of...