Quantitative Analysis for Policymakers
SPI 507B
1252
1252
Info tab content
Statistical analysis with applications to public policy, begins with an introduction to probability theory followed by discussion of statistical methods for estimating the quantitative effects of changes in policy variables. Regression methods appropriate for the analysis of observational data and data from randomized controlled experiments are stressed. By the end of the course students are able to do their own empirical analysis using statistical software package, interpret regression results and competently assess the work of others. The course assumes a fluency in high school algebra.
Instructors tab content
Sections tab content
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 31
- Capacity: 45
- Class Number: 21754
- Schedule: MW 09:00 AM-10:30 AM - Robertson Hall 001
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 15
- Capacity: 16
- Class Number: 23558
- Schedule: M 03:00 PM-04:30 PM - Robertson Hall 012
Section P02
- Type: Precept
- Section: P02
- Status: C
- Enrollment: 16
- Capacity: 16
- Class Number: 23559
- Schedule: T 03:00 PM-04:30 PM - Friend Center 110
Section P99
- Type: Precept
- Section: P99
- Status: C
- Enrollment: 0
- Capacity: 0
- Class Number: 22466