It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Journal of Economic Integration, Vol. 34, No. 4 (December 2019), pp. 725-745 (21 pages) This study analyzes whether external debt is a driving factor for investment and economic growth in low-income ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

This course is available on the BSc in Actuarial Science, BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and ...

This article investigates the impact of external debt on economic convergence in 201 economies from 1990 to 2020. Panel data collected from the fiscal space database of the World Bank are analyzed ...