Despite being widely used in health economics, dynamic models of health and healthcare typically assume that the persistence in these outcomes is the same for every individual. Understanding the extent and drivers of heterogeneity in persistence is essential for the design and evaluation of...

This research explores the effects of significant global economic shocks, such as the 2008 Global Financial Crisis and the 2020 COVID-19 pandemic, on GDP growth in the Gulf Cooperation Council (GCC) nations. Employing a dynamic generalized method of moments (GMM) model, the analysis highlights...

Using a high-frequency panel survey, we examine the sensitivity of estimated self-reported well-being (SWB) dynamics to using monthly, quarterly, and yearly data. This is an important issue if SWB is to be used to evaluate policy. Results from autoregressive models that account for...

This Second Edition serves as a comprehensive companion to Econometric Analysis of Panel Data by Badi H. Baltagi (2021), now in its 6th edition published by Springer. Designed to support both students and applied researchers, this companion enhances understanding of the textbook’s theoretical...

This study investigates the impact of artificial intelligence (AI) and big data technologies on unemployment in the G7 countries using a dynamic panel estimation approach. The analysis covers the period from 2005 to 2020 and incorporates various control variables related to unemployment rates,...

This paper revisits the panel autoregressive model, with a primary emphasis on the unit-root case. We study a class of misspecified Random effects Maximum Likelihood (mRML) estimators when T is either fixed or large, and N tends to infinity. We show that in the unit-root case, for any fixed...