000 | 02694cam a22002538i 4500 | ||
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001 | 137231 | ||
003 | ISI Library, Kolkata | ||
005 | 20230603020004.0 | ||
008 | 160114t20162017nyu b 001 0 eng | ||
020 | _a9780190296827 (paperback) | ||
040 | _aISI Library | ||
050 | 0 | 0 |
_aHB139 _b.B344 2016 |
082 | 0 | 4 |
_a330.015195 _223 _bB155 |
100 | 1 |
_aBailey, Michael A., _eauthor |
|
245 | 1 | 0 |
_aReal econometrics : _bthe right tools to answer important questions / _cMichael A. Bailey. |
260 |
_aNew York : _bOxford University Press, _c2016. |
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300 |
_axxxi, 592 p. : _billustrations ; _c24 cm. |
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504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _a 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. | |
520 | _aThis 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. | ||
650 | 0 | _aEconometrics. | |
650 | 0 |
_aEconomics _xStudy and teaching. |
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942 |
_2ddc _cBK _01 |
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999 |
_c421193 _d421193 |