- Tapa blanda: 304 páginas
- Editor: Princeton University Press (21 de diciembre de 2014)
- Idioma: Inglés
- ISBN-10: 0691152845
- ISBN-13: 978-0691152844
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
- Clasificación en los más vendidos de Amazon: nº48.267 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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Mastering ’Metrics: The Path from Cause to Effect (Inglés) Tapa blanda – 21 dic 2014
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Descripción del producto
"I would be hard pressed to name another econometrics book that can be read for enjoyment yet provides useful quantitative insights."--M.S.R., Financial Analysts Journal
Reseña del editor
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 examplesVer Descripción del producto
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For those with an economics degree or a very good grasp of statistical analysis, this book can be a nice refresher on econometric techniques used to determine causal effects through experiments or quasi-experiments. A more advanced treatment (with linear algebra and calculus) of the same topics can be found in the authors’ other book “Mostly Harmless Econometrics”.
For those that are upper level economics or social science majors in college, this book can serve as a supplement to an econometrics or advanced statistics class by providing real examples of econometrics in action and act as a bridge to understanding econometrics research articles. The book seems to be aimed at the college student that has had at least 1-2 classes of college level statistics. Even though the hard core math that would be found in an econometrics textbook is left to the appendices, there are plenty of equations and mathematical constructs in the main text that require a fairly solid understanding of math to fully appreciate the analysis.
For the general public that may have had a statistics class in high school or less, the analysis will likely be too difficult, however the introductory comments and conclusions for each paper may be of interest. This book is not likely to be found in most public libraries. There is some humor and historical notes to offset the heaviness of the material.
I highly recommend. I use this (and their companion Mostly Harmless Econometrics) in my PhD econometrics course