Non-normality is a common problem in econometric models, especially when dealing with skewed or heavy-tailed data. It can affect the validity of the standard errors, hypothesis tests, and confidence ...

Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, ...

This project proposes to tackle a number of important and challenging issues in econometric model building and forecasting under cross sectional dependence, heterogeneity and nonlinearity. This ...

Econometric models use math and statistics to help businesses understand economic data. These models are very helpful for predicting what might happen in the future, so businesses can make smart ...

Abstract: The shipping market, a major component of the global economy, is characterized by high risk and volatility. The Baltic dry index is an influential indicator in the world shipping market and ...

Econometric model building attempts to produce a laboratory with controlled variables. By means of mathematical and statistical methods, an economist establishes functional relationships between ...

This article provides a selective review on the recent literature on econometric models of network formation. The survey starts with a brief exposition on basic concepts and tools for the statistical ...

Many economists believe that economics must emulate the physical sciences with controlled experiments to be credible. Econometric models, they claim, can fulfill the role of laboratory experiments.

Lawrence Klein, the University of Pennsylvania economist who won the 1980 Nobel Prize for his computer-based models that help governments forecast the future and act accordingly, died Sunday at his ...