Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Time series econometrics and forecasting constitute a dynamic research area that combines sophisticated statistical methodologies with economic theory to model, interpret and predict economic and ...

The purpose of the American Journal of Agricultural Economics is to provide a forum for creative and scholarly work in agricultural economics. Submitted manuscripts focus on the economics of natural ...

This is a preview. Log in through your library . Abstract The aim of this paper is that of giving a finer insight into the analytic foundations of vector autoregressive models (VAR) in comparison with ...

The paper introduces “system priors”, their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...