This course aims to teach students how to use and conduct benefit-cost analysis. To do this, students must possess the ability to model economic behavior in the real...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis...
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the...
The purpose of this course is to provide a forum for learning about and discussing (primarily) micro-economic applications. It is intended for those students who have completed PubPol 571 or an...
This course is designed specifically to provide students in all degree programs at the Ford School with the fundamental mathematical tools necessary for their subsequent...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical...
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the...
This course aims to teach students how to use and conduct benefit-cost analysis. To do this, students must possess the ability to model economic behavior in the real...
This course aims to teach students how to use and conduct benefit-cost analysis. To do this, students must possess the ability to model economic behavior in the real...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical...
This course aims to teach students how to use and conduct benefit-cost analysis. To do this, students must possess the ability to model economic behavior in the real...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical...
In a time of profound division, embracing diverse perspectives becomes a catalyst for meaningful change. How do we transcend boundaries to cultivate an environment committed to fostering honest, caring, and courageous conversations?
A new law that gives the state of Michigan's 32 ports tools to expand and grow the maritime economy started out as a community project for a handful of University of Michigan students.
James B. Hoodak Professor of Health Policy, Paula Lantz, and Assistant Professor of Information, Chris Brooks from the University of Michigan share a preview of their new online course, "Data Analytics in the Public Sector with R."
Stephanie Leiser, lecturer in the Gerald R. Ford School of Public Policy, discusses the Local Fiscal Health Project, an initiative of the Center for Local, State, and Urban Policy to help local governments navigate fiscal challenges.
