Skip to main content
Princeton Mobile homeCourses home

Quantitative Analysis for Policymakers (Advanced)

SPI 507C

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 & data from randomized controlled experiments are stressed. By course end, students are able to do their own empirical analysis using statistical software package & interpret regression results from the professional literature. The course assumes fluency in calculus, which is necessary for rigorous mathematical analysis of probability & statistics.
Instructors tab content
Sections tab content

Section L01

Section P01

  • Type: Precept
  • Section: P01
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 23721
  • Schedule: F 09:00 AM-10:30 AM

Section P02

Section P99

  • Type: Precept
  • Section: P99
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 22417