PAM 4101

Causal Reasoning and Policy Evaluation 1

Course Description

Course information provided by the Courses of Study 2021-2022.

This course covers methods used by social scientists to identify causal relationships in data, with a focus on evaluating the effects of real-world policies. Many social science analyses--including in the economics fields of public, labor, health, and development-aim to answer these types of policy-related causal questions: What is the effect of having health insurance on someone's health? Does the death penalty reduce crime? Will lowering class sizes increase students' academic achievement? The goal of this course is to train you to become both a high-quality consumer and producer of this type of research. You will learn about several research designs and data analysis methods for identifying causal relationships in data, read and assess empirical papers that apply these methods, and apply these methods to datasets yourself.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: PAM 3100 or equivalent.

• Students will learn to assess the strengths and limitations of different research designs for estimating causal effects.
• Students will gain experience reading and assessing the strengths and weaknesses of empirical research answering causal questions.
• Students will apply the research designs covered in the course to data-based examples.

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