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xv, 282 pages : illustrations ; 22 cm
  • List of figures
  • List of tables
  • Introduction
  • Randomized trials
  • Regression
  • Instrumental variables
  • Regression discontinuity designs
  • Differences in differences
  • The wages of schooling
  • Abbreviations and acronyms
  • Empirical notes
  • Acknowledgments
  • Index.
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.
(source: Nielsen Book Data)9780691152844 20170418
Business Library
xvii, 492 p. : ill. ; 24 cm
  • Introduction
  • Causal inference and experimentation
  • Sampling distributions, statistical inference, and hypothesis testing
  • Using covariates in experimental design and analysis
  • One-sided noncompliance
  • Two-sided noncompliance
  • Attrition
  • Interference between experimental units
  • Mediation
  • Integration of research findings
  • Writing an experimental prospectus, research report, and journal article
  • Experimental challenges and opportunities.
Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.
(source: Nielsen Book Data)9780393979954 20160612
Business Library