Explaining “peak car” with economic variables: A comment

Explaining Trends in Car Use

Important variables in explaining real-time peak price in the independent power market of Ontario

This paper uses support vector machines (SVM) based learning algorithm to select important variables that help explain the realtime peak electricity price in the Ontario market. The Ontario market was opened to competition only in May 2002. Due to the limited number of observations available, finding a set of variables that can explain the independent power market of Ontario (IMO) real-time pea...

Socio-economic, socio-political and socio-emotional variables explaining school bullying: a country-wide multilevel analysis.

Why do some countries, regions and schools have more bullying than others? What socio-economic, socio-political and other larger contextual factors predict school bullying? These open questions inspired this study with 53.316 5th- and 9th-grade students (5% of the national student population in these grades), from 1,000 schools in Colombia. Students completed a national test of citizenship comp...

Economic Background of Car-to-Car Communication

The Car-to-Car Communication technology enables vehicles to autonomously exchange data among each other. The main aim is to improve road safety and traffic flow. Unfortunately, the Car-to-Car Communication technology bears direct network effects, i.e. to be able to profit from it, first a certain market penetration is required. Therefore, the mechanisms generally foreseen by car manufacturers t...

Comment: “Forecasting economic and financial variables with global VARs” by Pesaran, Schuermann and Smith

This paper reports the short-term forecasting power of the large Global Vector Autoregressive (GVAR) model originally developed by Pesaran, Schuermann, and Weiner (2004a, 2004b; PSW), and subsequently fine-tuned and re-estimated over the period 1979Q1–2003Q4 by Dees, di Mauro, Pesaran, and Smith (2007; DdPS).1 The GVAR model explicitly specifies interdependencies between different countries and...