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Real Stats : Using Econometrics for Political Science and Public Policy by Michael A. Bailey (2015, Trade Paperback)
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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.
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About this product
Product Identifiers
PublisherOxford University Press, Incorporated
ISBN-100199981949
ISBN-139780199981946
eBay Product ID (ePID)220292775
Product Key Features
Number of Pages624 Pages
Publication NameReal Stats : Using Econometrics for Political Science and Public Policy
LanguageEnglish
SubjectEconometrics, Statistics
Publication Year2015
TypeTextbook
AuthorMichael A. Bailey
Subject AreaSocial Science, Business & Economics
FormatTrade Paperback
Dimensions
Item Height1 in
Item Weight32.8 Oz
Item Length9.1 in
Item Width7.3 in
Additional Product Features
Intended AudienceCollege Audience
LCCN2015-032221
Dewey Edition23
Reviews"It's written like a transcript of a conversation of a stats person trying to explain the fundamentals of causal inference to a smart friend who doesn't really know much about statistics. It makes the subject fun. I actually found myself smiling while reading it. I wish I'd had this book in grad school."--Sarah E. Croco, University of Maryland"Real Stats is a new type of introductory statistics book, one grounded in contemporary understandings of causal inferences, that introduces students to essential statistical concepts in an engaging, accessible, yet serious fashion. This book's policy orientation and ample use of important, relevant examples will motivate students, and its careful and up-to-date explanation of key concepts will provide a firm foundation for both future courses and work in policy and legal environments."--Christopher Way, Cornell University"The three real advantages of the book are its accessibility, its focus on endogeneity, and its reliance on regression. This is exactly how I think the class should be taught. Real Stats will engage students better than any other book."-David Peterson, Iowa State University, "It's written like a transcript of a conversation of a stats person trying to explain the fundamentals of causal inference to a smart friend who doesn't really know much about statistics. It makes the subject fun. I actually found myself smiling while reading it. I wish I'd had this book in grad school."--Sarah E. Croco, University of Maryland "Real Stats is a new type of introductory statistics book, one grounded in contemporary understandings of causal inferences, that introduces students to essential statistical concepts in an engaging, accessible, yet serious fashion. This book's policy orientation and ample use of important, relevant examples will motivate students, and its careful and up-to-date explanation of key concepts will provide a firm foundation for both future courses and work in policy and legal environments."--Christopher Way, Cornell University "The three real advantages of the book are its accessibility, its focus on endogeneity, and its reliance on regression. This is exactly how I think the class should be taught. Real Stats will engage students better than any other book."-David Peterson, Iowa State University
IllustratedYes
Dewey Decimal330.01/5195
Table Of ContentChapter 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 Statistical 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 Statistical 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 a Statistical Realist Appendices Citations and Additional Notes Guide to Selected Discussion Questions Bibliography Glossary Index
SynopsisReal 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.
LC Classification NumberHB139.B345 2016
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