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

Provides an overview of how econometric modelling can help marketers understand how much each media channel contributes and over what timescale. Econometric modelling is a broad-level analytical ...

Since econometric models have been utilized to generate quantitative forecasts of aggregate economic activity, it is of interest to determine how well the existing models have performed this function.

This paper shows how an integrated input-output and econometric model has been developed and used by a municipal government to evaluate economic development proposals. The model simulates the impact ...

The field of econometrics and statistical methods encompasses a suite of techniques designed to quantify economic relationships, test theories using real-world data, and forecast future trends. This ...

This course is available on the BSc in Econometrics and Mathematical Economics, BSc in Economics and BSc in Mathematics and Economics. This course is available with permission as an outside option to ...

Objective: To evaluate the cost effectiveness of subcutaneous interferon-ß-1a (IFNß-1a) 44µg three times weekly in relapsing-remitting multiple sclerosis (RRMS) using an econometric model. Methods: ...