Applied econometrics : a practical guide
By: Min, Chung-Ki.
Series: Routledge advanced texts in economics and finance. Publisher: Oxon Routledge 2019Description: xiv, 295p.ISBN: 9780367110338.Subject(s): EconometricsDDC classification: 330.15195 | M66a Summary: Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics: Endogeneity and Two-stage Least Squares Simultaneous Equations Models Panel Data Models Qualitative and Limited Dependent Variable Models Vector Autoregressive (VAR) Models Autocorrelation and ARCH/GARCH Models Unit Root and Cointegration| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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P K Kelkar Library, IIT Kanpur | General Stacks | 330.15195 M66a (Browse shelf) | Available | A184486 |
Total holds: 0
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| 330.151 B76u4 Using excel for principles of econometrics | 330.15195 D744i4 Introduction to econometrics | 330.15195 D744i4 Introduction to econometrics | 330.15195 M66a Applied econometrics | 330.153 B73n THE NEW-CLASSICAL VERSUS THE NEO-CLASSICAL ECONOMICS | 330.153 B758m The making of the classical theory of economic growth | 330.153 F699A ADAM'S FALLACY |
Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics:
Endogeneity and Two-stage Least Squares
Simultaneous Equations Models
Panel Data Models
Qualitative and Limited Dependent Variable Models
Vector Autoregressive (VAR) Models
Autocorrelation and ARCH/GARCH Models
Unit Root and Cointegration
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