Causal Inference: The Mixtape (Paperback)

An accessible, 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. 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. 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 the Stata programming languages.

一本現代、易於理解的社會科學因果推論方法入門書籍

因果推論是社會科學家用來確定原因和結果的工具。在一個複雜的世界中，因果推論有助於確定研究對象的行動所產生的原因和效果，例如最低工資增加對就業的影響（或缺乏影響），幼兒教育對日後監禁的影響，或在發展中地區引入瘧疾網對經濟增長的影響。Scott Cunningham介紹了學生和實踐者所需的方法，以獲得對因果問題有意義的答案，並提供了一系列建模技術和R和Stata編程語言的編碼指令。

Scott Cunningham is professor of economics at Baylor University. He is also coeditor of The Oxford Handbook of the Economics of Prostitution.

Scott Cunningham 是貝勒大學的經濟學教授。他也是《The Oxford Handbook of the Economics of Prostitution》的共同編輯。