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29%OFFJoshua D. Angrist - Mastering ´Metrics: The Path from Cause to Effect - 9780691152844 - V9780691152844
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Mastering ´Metrics: The Path from Cause to Effect

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Description for Mastering ´Metrics: The Path from Cause to Effect Paperback. Num Pages: 304 pages, illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 216 x 139 x 19. Weight in Grams: 372.
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 ... Read more

Product Details

Publisher
Princeton University Press United States
Format
Paperback
Publication date
2015
Condition
New
Weight
367g
Number of Pages
304
Place of Publication
New Jersey, United States
ISBN
9780691152844
SKU
V9780691152844
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Joshua D. Angrist
Joshua D. Angrist is the Ford Professor of Economics at the Massachusetts Institute of Technology. Jorn-Steffen Pischke is professor of economics at the London School of Economics and Political Science. They are the authors of Mostly Harmless Econometrics (Princeton).

Reviews for Mastering ´Metrics: The Path from Cause to Effect
"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

Goodreads reviews for Mastering ´Metrics: The Path from Cause to Effect


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