Revised edition of the author's A guide to basic econometric techniques, [2014].

"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 seven, 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. Elia Kacapyr is Professor of Economics at Ithaca College, USA"-- Provided by publisher.

Chapter 1 The Nature of EconometricsChapter 2 Simple Regression AnalysisChapter 3 Residual StatisticsChapter 4 Hypothesis TestingChapter 5 Multivariate RegressionChapter 6 Alternate Functional FormsChapter 7 Dichotomous VariablesChapter 8 The Classical Linear Regression ModelChapter 9 MulticollinearityChapter 10 HeteroskedasticityChapter 11 Serial CorrelationChapter 12 Time-Series TechniquesChapter 13 Panel Data TechniquesCritical Values TablesCited Works

OCLC-licensed vendor bibliographic record.