Causal Inference
- 书名：Causal Inference
- 作者： Scott Cunningham
- 格式：PDF
- 时间：2024-06-27
- 评分：
- ISBN：9780300251685
An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences
Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists—who generally can’t run controlled experiments to test and validate their hypotheses—apply these tools to observational data to make connections. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied, whether 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 introduction of malaria nets in developing regions on economic growth. Scott 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 Stata programming languages.
Scott Cunningham is professor of economics at Baylor University. He is also coeditor of The Oxford Handbook of the Economics of Prostitution.
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casual infer11-17现在电脑上专门有一个窗口开着，没事看看这本书真的宝藏!!!从scm框架来描述反事实以及各种方法，涵盖也相对全面要是再能完善一下以前的估计方法就好了
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Lalalallz04-06DAG写得有些含糊不清，合成控制写得如同废纸
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白菜爱好者06-09具体design部分写得很好！
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