“Essentials of Econometrics” (2024), by Anoop Chaturvedi. Mathematics research paper. Original abstract below, unchanged. No free PDF was found.

Essentials of Econometrics

Anoop Chaturvedi · May 9, 2024 · Mathematics

Abstract

The updated Fifth Edition of Damodar N. Gujarati's renowned econometrics book is a beacon of clarity and accessibility. Having a user-friendly design makes a significant difference in understanding complex concepts of econometrics to beginners. It is excellent that the present edition prioritizes that aspect as well. Divided into four parts, the book progressively moves from the basics and gradually delving into more advanced topics. Part I lays the groundwork by introducing the classical linear regression model, including multiple explanatory variables and qualitative variables regression models and discusses the estimation and testing aspects. Part II addresses critical issues and practical aspects of implementing the classical linear regression model, such as model adequacy, measurement error, multicollinearity, heteroscedasticity, and autocorrelation. Part III is a significant addition to the fifth edition, covering advanced topics of time series econometrics in chapter 11 and panel data regression models in chapter 12, that are increasingly relevant in contemporary research and analysis. Lastly, the inclusion of four appendices covering probability theory, probability distributions, statistical estimation and hypothesis testing serves as a valuable resource for essential statistical concepts that are necessary for understanding the material covered in the book and ensures a solid foundation in statistical principles for the readers. The inclusion of key terms, concepts, questions, problems, and exercises at the end of each chapter enhances the learning experience and provides opportunities for practical application and self-assessment.

Source page DOI: 10.1093/jrsssa/qnae045