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  The Nature of Econometrics   Chapter 2  Simple Regression Analysis   Chapter 3  Residual Statistics   Chapter 4  Hypothesis Testing   Chapter 5  Multivariate Regression   Chapter 6  Alternate Functional Forms   Chapter 7  Dichotomous Variables   Chapter 8  The Classical Linear Regression Model   Chapter 9  Multicollinearity   Chapter 10  Heteroskedasticity   Chapter 11  Serial Correlation   Chapter 12  Time-Series Techniques   Chapter 13  Panel Data Techniques   Critical Values Tables   Cited Works