{"title":"Scott Cunningham","description":"\u003cp\u003eScott Cunningham’s works dive deep into the principles and applications of causal inference, offering readers a clear and accessible approach to understanding complex statistical methods. His books are ideal for those interested in rigorous analysis within the fields of social sciences, economics, and beyond.\u003c\/p\u003e\n\n\u003cp\u003eBlending theoretical insights with practical examples, Cunningham’s writings serve as valuable resources for students, researchers, and professionals seeking to sharpen their analytical skills. Expect a thoughtful exploration of cause-and-effect relationships that enhances your grasp of modern educational and reference materials.\u003c\/p\u003e","products":[{"product_id":"causal-inference-by-scott-cunningham-9780300251685","title":"Causal Inference","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eAn accessible, contemporary introduction to the methods for determining cause and effect in the social sciences\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003e“Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. \u003cem\u003eCausal Inference: The Mixtape\u003c\/em\u003e uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC)\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eCausal inference\u003c\/em\u003e encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions.\u003c\/p\u003e\n\n\u003cp\u003eScott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47430232375532,"sku":"9780300251685","price":68.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780300251685.jpg?v=1774559338"}],"url":"https:\/\/bookhero.co.nz\/collections\/scott-cunningham.oembed","provider":"Book Hero","version":"1.0","type":"link"}