The project to write a book on applied Econometrics when I was granted with the Econometrics II course to teach to MPhil Economics, the contents of this book were developed from the lecture material which is competitive to course contents of The University of Edinburgh UK, a university where I did MSc in Economics, exploring other books, personal experience and the critical discussion by the students. The variety of contents which this book covers meet no competition with other universities in the city.
This book is an attempt to provide straight forward application based illustration of popular econometric models which are popular and available in the literature. I started this work with the idea that a research practitioner who is not versed with the basics of mathematics and statistics. He might not be able to understand the complex econometric model. This book provides firstly with some background to the model regarding what are the conditions which lead to this model selection. Secondly, basic mathematical derivations which are necessary for the concept. Lastly, STATA software-based example and its interpretation. The approach this book uses it that it delivers the concepts of the econometric models as well as it provides guidelines to use the STATA software using coding.
This book is especially designed for the MPhil / PhD students of all social science disciplines. And researchers who want to avail the skills of latest econometric models to be used in subjects like Sociology, Psychology, Finance and Banking.
This book uses a unique way to categorize the econometric models, which makes it different from other Econometrics books available in the market. In the first chapter, it provides an example of the simple regression model, and explains what information it provides and what information it lacks, the information which is lacking is called post regression issues in Econometrics. Unlike other econometric text books, it advocates the regression issues as missing information which model needs to incorporate rather than presenting them as a disease in a model. Then this book practically explains what each issue means and then categorizes the advanced model based on its incorporation (solution) to the regression issue.
This book constitutes of chapter 1, which provides brief and necessary background knowledge of Econometrics and regression analysis. The second part includes chapters 2–5, which are provided illustrations for the cross-sectional based models.
This work is licensed under a Creative Commons Attribution 4.0 International License.