Mastering 'Metrics – Joshua Angrist & Jörn-Steffen Pischke |9780691152844|
- Free worldwide shipping
- In stock, ready to ship
- Inventory on the way
Mastering 'Metrics is the definitive guide for anyone who wants to understand how to separate correlation from causation in a data-driven world. Mastering 'Metrics: The Path from Cause to Effect by Joshua Angrist and Jörn-Steffen Pischke simplifies the complex world of econometrics into an accessible and engaging narrative. This book is essential for students and professionals who need to master the "furious five" methods of causal inference to make better decisions based on empirical evidence.
About the Book
Mastering 'Metrics takes a refreshingly bold approach to teaching econometrics by focusing on the core tools that actually work in the field. Instead of drowning readers in abstract math, Angrist and Pischke use real-world examples—from the effects of health insurance to the impact of schooling—to demonstrate how data can answer life's biggest questions. The authors guide you through Randomized Trials, Regression, Instrumental Variables, Regression Discontinuity Designs, and Differences-in-Differences, showing how each method helps pave the path from cause to effect.
What You’ll Learn / Why Read
Mastering 'Metrics helps you develop a "metrics sense" to critically evaluate the statistics we see in news and research daily. You will learn how randomized controlled trials serve as the gold standard for evidence and how to use natural experiments when a lab setting is impossible. Furthermore, the text explains the nuances of the "Furious Five" econometric tools, ensuring you can identify the hidden biases in data and extract the truth. This book is a must-read for aspiring data scientists, economists, and policy analysts who want to go beyond simple data description to true causal analysis.
Author Bio
Joshua D. Angrist is a Nobel Prize-winning Professor of Economics at MIT, and Jörn-Steffen Pischke is a Professor of Economics at the London School of Economics. Together, they have revolutionized the way econometrics is taught, making it more practical, intuitive, and relevant to modern research.
Product Details
-
Author: Joshua D. Angrist, Jörn-Steffen Pischke
-
Publisher: Princeton University Press
-
Language: English
-
Format: Paperback
-
ISBN-13: 978-0691152844
-
Genre: Economics / Data Science / Statistics
-
Pages: 304 Pages
Why Buy from us
Mastering 'Metrics shoppers trust us because we provide 100% authentic academic editions sourced from premier university presses. We understand that for researchers and students, having the correct, high-quality edition is paramount for accurate study. Our global shipping services ensure that this essential "Path from Cause to Effect" reaches your library anywhere in the world. At us, we curate the highest caliber of intellectual resources to help our global community of readers master the skills that define the future.
Questions & Answers
Is this book suitable for someone without a heavy math background? Yes, it is designed to be much more accessible than traditional econometrics textbooks, focusing on intuition over dense proofs.
Does us ship this book to university students abroad? Absolutely! We offer worldwide delivery to students and researchers at any institution globally.
Is this the companion to "Mostly Harmless Econometrics"? While written by the same authors, Mastering 'Metrics is a more introductory and accessible entry point to the same topics.
Does it cover modern data science techniques? Yes, the causal inference methods discussed are foundational for modern data science and A/B testing.
How many pages are in this edition? This Princeton University Press edition is approximately 304 pages of concise, high-impact content.
Econometrics textbook, Causal inference, Angrist and Pischke, The Path from Cause to Effect, Data science metrics, Randomized trials, Regression analysis.
Use collapsible tabs for more detailed information that will help customers make a purchasing decision.
Ex: Shipping and return policies, size guides, and other common questions.