ABSTRACT

Now in its third edition, Essential Econometric Techniques: A Guide to Concepts and Applications is a concise, student-friendly textbook which provides an introductory grounding in econometrics, with an emphasis on the proper application and interpretation of results.

Drawing on the author’s extensive teaching experience, this book offers intuitive explanations of concepts such as heteroskedasticity and serial correlation, and provides step-by-step overviews of each key topic.

This new edition contains more applications, brings in new material including a dedicated chapter on panel data techniques, and moves the theoretical proofs to appendices. After Chapter 7, students will be able to design and conduct rudimentary econometric research. The next chapters cover multicollinearity, heteroskedasticity, and autocorrelation, followed by techniques for time-series analysis and panel data.

Excel data sets for the end-of-chapter problems are available as a digital supplement. A solutions manual is also available for instructors, as well as PowerPoint slides for each chapter.

Essential Econometric Techniques shows students how economic hypotheses can be questioned and tested using real-world data, and is the ideal supplementary text for all introductory econometrics courses.

chapter 1|11 pages

The Nature of Econometrics

chapter 2|18 pages

Simple Regression Analysis

chapter 3|9 pages

Residual Statistics

chapter 4|14 pages

Hypothesis Testing

chapter 5|24 pages

Multivariate Regression

chapter 6|21 pages

Alternate Functional Forms

chapter 7|17 pages

Dichotomous Variables

chapter 8|14 pages

The Classical Linear Regression Model

chapter 9|8 pages

Multicollinearity

chapter 10|13 pages

Heteroskedasticity

chapter 11|16 pages

Serial Correlation

chapter 12|26 pages

Time-Series Techniques

chapter 13|15 pages

Panel Data Techniques

chapter |4 pages

Critical Values Tables