{"product_id":"mastering-metrics-angrist-pischke-econometrics-book","title":"Mastering 'Metrics – Joshua Angrist \u0026 Jörn-Steffen Pischke |9780691152844|","description":"\u003cp data-path-to-node=\"7\"\u003e\u003cb data-path-to-node=\"7\" data-index-in-node=\"0\"\u003eMastering 'Metrics\u003c\/b\u003e is the definitive guide for anyone who wants to understand how to separate correlation from causation in a data-driven world. \u003cspan class=\"citation-56 citation-end-56\"\u003eMastering '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.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e \u003cspan class=\"citation-55 citation-end-55\"\u003eThis 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.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"8\"\u003eAbout the Book\u003c\/h3\u003e\n\u003cp data-path-to-node=\"9\"\u003e\u003cb data-path-to-node=\"9\" data-index-in-node=\"0\"\u003eMastering 'Metrics\u003c\/b\u003e takes a refreshingly bold approach to teaching econometrics by focusing on the core tools that actually work in the field. \u003cspan class=\"citation-54 citation-end-54\"\u003eInstead 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.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e \u003cspan class=\"citation-53 citation-end-53\"\u003eThe 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.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"10\"\u003eWhat You’ll Learn \/ Why Read\u003c\/h3\u003e\n\u003cp data-path-to-node=\"11\"\u003e\u003cb data-path-to-node=\"11\" data-index-in-node=\"0\"\u003eMastering 'Metrics\u003c\/b\u003e 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. \u003cspan class=\"citation-52 citation-end-52\"\u003eFurthermore, the text explains the nuances of the \"Furious Five\" econometric tools, ensuring you can identify the hidden biases in data and extract the truth.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e 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.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"12\"\u003eAuthor Bio\u003c\/h3\u003e\n\u003cp data-path-to-node=\"13\"\u003eJoshua D. \u003cspan class=\"citation-51 citation-end-51\"\u003eAngrist 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.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e Together, they have revolutionized the way econometrics is taught, making it more practical, intuitive, and relevant to modern research.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"14\"\u003eProduct Details\u003c\/h3\u003e\n\u003cul data-path-to-node=\"15\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,0,0\"\u003e\u003cb data-path-to-node=\"15,0,0\" data-index-in-node=\"0\"\u003eAuthor:\u003c\/b\u003e Joshua D. Angrist, Jörn-Steffen Pischke\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,1,0\"\u003e\u003cspan class=\"citation-50\"\u003e\u003c\/span\u003e\u003cb data-path-to-node=\"15,1,0\" data-index-in-node=\"0\"\u003e\u003cspan class=\"citation-50\"\u003ePublisher:\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-50 citation-end-50\"\u003e Princeton University Press\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,2,0\"\u003e\u003cb data-path-to-node=\"15,2,0\" data-index-in-node=\"0\"\u003eLanguage:\u003c\/b\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,3,0\"\u003e\u003cspan class=\"citation-49\"\u003e\u003c\/span\u003e\u003cb data-path-to-node=\"15,3,0\" data-index-in-node=\"0\"\u003e\u003cspan class=\"citation-49\"\u003eFormat:\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-49 citation-end-49\"\u003e Paperback\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,4,0\"\u003e\u003cspan class=\"citation-48\"\u003e\u003c\/span\u003e\u003cb data-path-to-node=\"15,4,0\" data-index-in-node=\"0\"\u003e\u003cspan class=\"citation-48\"\u003eISBN-13:\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-48 citation-end-48\"\u003e 978-0691152844\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,5,0\"\u003e\u003cb data-path-to-node=\"15,5,0\" data-index-in-node=\"0\"\u003eGenre:\u003c\/b\u003e Economics \/ Data Science \/ Statistics\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,6,0\"\u003e\u003cspan class=\"citation-47\"\u003e\u003c\/span\u003e\u003cb data-path-to-node=\"15,6,0\" data-index-in-node=\"0\"\u003e\u003cspan class=\"citation-47\"\u003ePages:\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-47 citation-end-47\"\u003e 304 Pages\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-path-to-node=\"16\"\u003eWhy Buy from us\u003c\/h3\u003e\n\u003cp data-path-to-node=\"17\"\u003e\u003cb data-path-to-node=\"17\" data-index-in-node=\"0\"\u003eMastering 'Metrics\u003c\/b\u003e 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.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"18\"\u003eQuestions \u0026amp; Answers\u003c\/h3\u003e\n\u003cp data-path-to-node=\"19\"\u003e\u003cb data-path-to-node=\"19\" data-index-in-node=\"0\"\u003eIs this book suitable for someone without a heavy math background?\u003c\/b\u003e Yes, it is designed to be much more accessible than traditional econometrics textbooks, focusing on intuition over dense proofs.\u003c\/p\u003e\n\u003cp data-path-to-node=\"20\"\u003e\u003cb data-path-to-node=\"20\" data-index-in-node=\"0\"\u003eDoes us ship this book to university students abroad?\u003c\/b\u003e Absolutely! We offer worldwide delivery to students and researchers at any institution globally.\u003c\/p\u003e\n\u003cp data-path-to-node=\"21\"\u003e\u003cb data-path-to-node=\"21\" data-index-in-node=\"0\"\u003eIs this the companion to \"Mostly Harmless Econometrics\"?\u003c\/b\u003e While written by the same authors, \u003cb data-path-to-node=\"21\" data-index-in-node=\"92\"\u003eMastering 'Metrics\u003c\/b\u003e is a more introductory and accessible entry point to the same topics.\u003c\/p\u003e\n\u003cp data-path-to-node=\"22\"\u003e\u003cb data-path-to-node=\"22\" data-index-in-node=\"0\"\u003eDoes it cover modern data science techniques?\u003c\/b\u003e Yes, the causal inference methods discussed are foundational for modern data science and A\/B testing.\u003c\/p\u003e\n\u003cp data-path-to-node=\"23\"\u003e\u003cb data-path-to-node=\"23\" data-index-in-node=\"0\"\u003eHow many pages are in this edition?\u003c\/b\u003e \u003cspan class=\"citation-46 citation-end-46\"\u003eThis Princeton University Press edition is approximately 304 pages of concise, high-impact content.\u003csup class=\"superscript\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-path-to-node=\"24\"\u003eEconometrics textbook, Causal inference, Angrist and Pischke, The Path from Cause to Effect, Data science metrics, Randomized trials, Regression analysis.\u003c\/p\u003e","brand":"Us","offers":[{"title":"Default Title","offer_id":48341558493443,"sku":null,"price":15.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/7596\/9027\/files\/Mastering_MetricsbyJoshuaAngristandJorn-SteffenPischkebookcoveratNybookshub.jpg?v=1780819033","url":"https:\/\/bookthugnation.store\/products\/mastering-metrics-angrist-pischke-econometrics-book","provider":"Book Thug Nation","version":"1.0","type":"link"}