Economists develop economic models to explain consistently recurring relationships. Their models link one or more economic variables to other economic variables. For example, economists connect the ...

In this paper, we introduce a new identification and estimation strategy for partially linear regression models with a general form of unknown heteroscedasticity, that is, Y = X'β₀ + m(Z) + U and U = ...

This is a preview. Log in through your library . Abstract We consider the semi-parametric regression model Y = X t β + Φ(Z) where β and Φ(·) are unknown slope coefficient vector and function, and ...

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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...