Real Econometrics PDF Download
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Author: Michael A. Bailey
Publisher: Oxford University Press, USA
ISBN: 9780190857462
Category : Business & Economics
Languages : en
Pages : 656
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Book Description
Revised edition of the author's Real econometrics, [2017]
Author: Michael A. Bailey
Publisher: Oxford University Press, USA
ISBN: 9780190857462
Category : Business & Economics
Languages : en
Pages : 656
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Book Description
Revised edition of the author's Real econometrics, [2017]
Author: Michael A. Bailey
Publisher: Oxford University Press, USA
ISBN: 9780190296827
Category : BUSINESS & ECONOMICS
Languages : en
Pages : 0
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Book Description
Machine generated contents note: -- Chapter 1 The Quest for Causality -- Chapter 2 Stats in the Wild: Good Data Practices -- Part I The OLS Framework -- Chapter 3 Bivariate OLS: The Foundation of Econometric Analysis -- Chapter 4 Hypothesis Testing and Interval Estimation: Answering Research Questions -- Chapter 5 Multivariate OLS: Where the Action Is -- Chapter 6 Dummy Variables: Smarter Than You Think -- Chapter 7 Transforming Variables, Comparing Variables -- Part II The Contemporary Econometric Toolkit -- Chapter 8 Using Fixed Effects Models to Fight Endogeneity in Panel Data and Difference-in-Difference Models -- Chapter 9 Instrumental Variables: Using Exogenous Variation to Fight Endogeneity -- Chapter 10 Experiments: Dealing with Real-World Challenges -- Chapter 11 Regression Discontinuity: Looking for Jumps in Data -- Part III Limited Dependent Variables -- Chapter 12 Dummy Dependent Variables -- Part IV Advanced Material -- Chapter 13 Time Series: Dealing with Stickiness over Time -- Chapter 14 Advanced OLS -- Chapter 15 Advanced Panel Data -- Chapter 16 Conclusion: How to Be an Econometric Realist -- Appendices -- Citations and Additional Notes -- Guide to Selected Discussion Questions -- Bibliography -- Glossary -- Index.
Author: Michael A. Bailey
Publisher:
ISBN: 9780190857523
Category : Econometrics
Languages : en
Pages :
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Book Description
Author: Michael A. Bailey
Publisher: Oxford University Press, USA
ISBN: 9780199981946
Category : Econometrics
Languages : en
Pages : 0
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Book Description
Real Stats offers an engaging and practical introduction to statistical analysis for upper-level undergraduates and first-year graduate students in political science, public policy, and law. Grounded in contemporary understandings of causal inferences, the text invites students to see how econometric tools can help answer important and interesting questions. This emphasis on practical applications, combined with a lively and conversational narrative, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers.
Author: Christian Kleiber
Publisher: Springer Science & Business Media
ISBN: 0387773185
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
Author: Gary Smith
Publisher: Academic Press
ISBN: 0128034920
Category : Mathematics
Languages : en
Pages : 397
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Book Description
Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics Focuses on essential information to enable students to develop their own statistical reasoning Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters
Author: Badi Hani Baltagi
Publisher: Springer Science & Business Media
ISBN: 9783540435013
Category : Business & Economics
Languages : en
Pages : 426
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Book Description
As well as specification testing, Gauss-Newton regressions and regression diagnostics. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.
Author: Aaron D. Smith
Publisher: Univ of California Press
ISBN: 0520288335
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
Why Care About Causation?
Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 0691152845
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
An accessible and fun guide to the essential tools of econometric research Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful. The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse. Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples
Author: Fumio Hayashi
Publisher: Princeton University Press
ISBN: 1400823838
Category : Business & Economics
Languages : en
Pages : 708
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Book Description
The most authoritative and comprehensive synthesis of modern econometrics available Econometrics provides first-year graduate students with a thoroughly modern introduction to the subject, covering all the standard material necessary for understanding the principal techniques of econometrics, from ordinary least squares through cointegration. The book is distinctive in developing both time-series and cross-section analysis fully, giving readers a unified framework for understanding and integrating results. Econometrics covers all the important topics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models, such as probit and tobit, are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient way. Virtually all the chapters include empirical applications drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises provide students with hands-on experience applying the techniques covered. The exposition is rigorous yet accessible, requiring a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text. For students who intend to write a thesis on applied topics, the empirical applications in Econometrics are an excellent way to learn how to conduct empirical research. For theoretically inclined students, the no-compromise treatment of basic techniques is an ideal preparation for more advanced theory courses.
