商品描述
The Effect: An Introduction to Research Design and Causality, Second edition is an excellent teaching text about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams.
Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do?
The target audience is practitioners as well as undergraduate and graduate students studying causal inference in various fields such as statistics, econometrics, biostatistics, the social sciences and data science.
Key Features:
- Extensive code examples in R, Stata, and Python
- Chapters on heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions
- An easy-to-read conversational tone
- Up-to-date coverage of methods with fast-moving literatures like difference-in-differences
- The second edition features a new chapter on partial identification, updated materials, methods, and writing throughout, and additional materials for help navigating the book or in using the book in teaching.
商品描述(中文翻譯)
《效果：研究設計與因果關係導論（第二版）》是一本優秀的教學文本，專注於研究設計，特別是使用觀察數據進行因果推斷的研究。該書分為兩個部分，每部分對該主題採取不同的方法。第一部分詳細介紹了因果關係的概念，幾乎不涉及估計。它徹底且清晰地介紹了識別的概念，並將其討論為試圖孤立具有因果解釋的變異的過程。主題包括對數據生成過程和因果圖的重點強調。
概念的展示重點強調圖形直覺以及我們對數據所做的操作。當我們「添加控制變數」時，這實際上會發生什麼？
目標讀者包括實務工作者以及本科生和研究生，這些學生在統計學、計量經濟學、生物統計學、社會科學和數據科學等各個領域學習因果推斷。
主要特點：
- 提供大量的 R、Stata 和 Python 的程式碼範例
- 包含異質性處理效應、模擬和檢定力分析、新的前沿方法以及被忽視的不舒服假設的章節
- 以易讀的對話語氣撰寫
- 針對快速變化的文獻（如差異中的差異）提供最新的方法覆蓋
- 第二版新增了部分識別的章節，更新了材料、方法和整體寫作，並提供額外的材料以幫助讀者導航本書或在教學中使用本書。
作者簡介
Nick Huntington-Klein is a professor of economics at Seattle University specializing in the study of the education system and applied econometrics. He is known as someone who can clearly explain complex topics in econometrics, and his teaching materials have been shared online tens of thousands of times. His daughter is not yet old enough to find this hopelessly uncool.
作者簡介(中文翻譯)
Nick Huntington-Klein 是西雅圖大學的經濟學教授，專注於教育系統和應用計量經濟學的研究。他以能夠清晰解釋計量經濟學中複雜主題而聞名，他的教學材料在網上被分享了數萬次。他的女兒還不夠大，無法覺得這樣毫無酷感。
