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...

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...

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>

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 note is a companion to the Lilien (lilien) and Modified Lilien (mlilien) commands for computing the relative indices in STATA. The note illustrates the main features of the commands with an application to the structural determinants of regional unemployment. -- econometric software ; Stata...

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...

This paper shows how to build algorithms that use graphics processing units (GPUs) installed in most modern computers to solve dynamic equilibrium models in economics. In particular, we rely on the compute uni.ed device architecture (CUDA) of NVIDIA GPUs. We illustrate the power of the approach...

Our subject is the notion of automated discovery in econometrics. Advances in computer power, electronic communication, and data collection processes have all changed the way econometrics is conducted. These advances have helped to elevate the status of empirical research within the economics...