Using Linear Regression Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.

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 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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, ...

What Are Some Ways Linear Regression Can Be Applied in Business Settings?. During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance 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 ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.