000 02693nam a2200229 4500
005 20251018104325.0
008 251018b |||||||| |||| 00| 0 eng d
020 _a9781032101217
082 _a330.015195
_bKAC
100 _aKacapyr, Elia
_914190
245 _aEssential econometric techniques:
_ba guide to concepts and applications
250 _a3rd
260 _aNew York
_bRoutledge
_c2022
300 _a219 p.
365 _aGBP
_b52.99
500 _aTable of contents: 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 [https://www.routledge.com/Essential-Econometric-Techniques-A-Guide-to-Concepts-and-Applications/Kacapyr/p/book/9781032101217]
520 _aNow 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. (https://www.routledge.com/Essential-Econometric-Techniques-A-Guide-to-Concepts-and-Applications/Kacapyr/p/book/9781032101217)
650 _aEconometrics
650 _aMathematical economics
650 _aStatistical theory methods
_925657
942 _cBK
_2ddc
999 _c10152
_d10152