Real econometrics : the right tools to answer important questions / Michael A. Bailey.
Material type:
- 9780190296827 (paperback)
- 330.015195 23 B155
- HB139 .B344 2016
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 330.015195 B155 (Browse shelf(Opens below)) | Available | 137231 |
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330.015195 As826 Fundamentals of applied econometrics / | 330.015195 As853 Applied econometrics | 330.015195 As853 Applied econometrics/ | 330.015195 B155 Real econometrics : the right tools to answer important questions / | 330.015195 B197 Econometrics | 330.015195 B197 Companion to theoretical econometrics | 330.015195 B197 Solutions manual for econometrics |
Includes bibliographical references and index.
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.
This book provides thorough coverage of the most frequently used methods of analysis and a diverse array of examples and case studies. Grounded in contemporary understandings of causal inference, the text invites students to see how econometric tools can help answer interesting questions ranging from whether police reduce crime, to how drinking affects students' grades, and to whether or not tall people make higher wages. 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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