Using Python to implement the models. Next, we’ll illustrate how to implement panel data analysis in Python, using a built-in dataset on firms’ performance from the `linearmodels` library that follows ...

Galvao, and G. Montes-Rojas (2012): “Asymptotics for panel quantile regression models with individual effects,” Journal of Econometrics, 170, 76–91. Crossref; Kim, M.-O., and Y. Yang (2011): ...

This paper shows how the correlated random effects approach can be extended to linear panel data models when instrumental variables are needed and the panel is unbalanced. We obtain the algebraic ...

Regulatory monitoring data and land-use regression (LUR) models have been widely used for estimating individual exposure to ambient air pollution in epidemiologic studies. However, LUR models lack ...

A biomarker panel can improve prediction of chronic kidney disease (CKD) progression in children, according to a study published in the June issue of the Journal of the American Society of Nephrology.

We analyze how bank profitability impacts financial stability from both theoretical and empirical perspectives. We first develop a theoretical model of the relationship between bank profitability and ...

Fragile states in sub-Saharan Africa (SSA) face challenges to respond to the effects of climate shocks and rising temperatures. Fragility is linked to structural weaknesses, government failure, and ...