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Essential econometric techniques [3rd ed.] : a guide to concepts and applications

By: Language: English Publication details: New York Routledge 2022Edition: 3rd edDescription: 219pISBN:
  • 9781032101217
Subject(s): DDC classification:
  • 330.015195 K113e3
Summary: Now in its third edition, Essential Econometric Techniques: A Guide to Concepts and Applications is a concise, student-friendly textbook that 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.
List(s) this item appears in: New arrival July 11 to 17, 2022
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur General Stacks 330.015195 K113e3 (Browse shelf(Opens below)) Checked out to SUBHADIP BAIDYA (S22109200) 14/07/2025 A185846
Total holds: 0

Now in its third edition, Essential Econometric Techniques: A Guide to Concepts and Applications is a concise, student-friendly textbook that 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.

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