In this paper, we try to promote the building of a Quantitative Austrian Modelling (QAM). QAM must be viewed as a complementary quantitative prolongation of the Austrian methods and as a complementary approach to the already existing quantitative approaches - especially we would like here to...

Python is a powerful high level open source programming language, that is available for multiple platforms. It supports object oriented programming, and has recently become a serious alternative to low level compiled languages such as C. It is easy to learn and use, and is recognized for very...

Initially developed in the context of <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$${\tt REGILINK}$$</EquationSource> </InlineEquation> project, <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$${\tt SIMUL 3.2}$$</EquationSource> </InlineEquation> econometric software is able to estimate and to run large-scale dynamic multi-regional, multi-sectoral models. The package includes a data bank management module, <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$${\tt GEBANK}$$</EquationSource> </InlineEquation> which performs the usual...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>

Elhorst (2010) shows how the recent publication of LeSage and Pace (2009) in his expression “raises the bar” for our fitting of spatial econometrics models. By extending the family of models that deserve attention, Elhorst reveals the need to explore how they might be fitted, and discusses...

Identifying narratives in texts is a challenging task, as not only narrative elements such as the factors and events have to be identified but their semantic relation has to be explained as well. Despite this complexity, an effective technique to extract narratives from texts can have a great...

This is an exploratory study that attempts to identify and provide empirical evidence on the possible determinants of the market capitalisation of the Harare Stock Exchange (HSE) with the view of understanding the development prospects of the HSE and other similar markets. The study used...

This paper presents a Monte-Carlo study on the practical reliability of numerical algorithms for FIML-estimation in nonlinear econometric models. The performance of different techniques of Hessian approximation in trust-region algorithms is compared regarding their "robustness" against "bad"...

R, an open-source programming environment for data analysis and graphics, has in only a decade grown to become a de-facto standard for statistical analysis against which many popular commercial programs may be measured. The use of R for the teaching of econometric methods is appealing. It...