Classes

API 201C - Quantitative Analysis & Empirical Methods I

Semester: 

Fall

Offered: 

2017

API-201 introduces a range of quantitative tools commonly used to inform public policy issues. It covers
descriptive statistics, probability theory, decision analysis, statistical inference, and regression analysis,
with an emphasis on the ways in which they are applied to practical policy questions. Our goal is that by
the end of this course you will be able to:

  1. Frame a broad descriptive policy question (such as “what has happened to crime rates in the U.S. in the past 30 years?”), figure out the most appropriate statistical analysis to answer the question,...
Read more about API 201C - Quantitative Analysis & Empirical Methods I

API-209: Advanced Quantitative Methods I

Semester: 

Fall

Offered: 

2017

The goal of this course is to prepare you to analyze public policy issues using statistics. Key topics in the course are in the areas of probability theory, sampling, estimation, hypothesis testing, and regression analysis. While many students taking this class will have already taken courses in statistical inference and regression analysis, this course will place a much stronger emphasis than typical courses on conceptually understanding the underlying methods. Since the course is targeted to first-year students in the MPA-ID program, we will not shy away from using mathematical tools,...

Read more about API-209: Advanced Quantitative Methods I