The U.S. Department of Agriculture has stopped its annual Household Food Security Report, the government’s primary measure of hunger and food insecurity in the United States. Natasha Pilkauskas comments on the implications of ending this decades-long...
This September, the Ford School launched the Policy Analysis Learning Lab (PAL), a learning support initiative designed to equip students with the confidence to use policy analysis for the public good. Inaugural faculty director Alton Worthington bri...
By Daniel Rivkin
Akiho Nagano (MPP '23) and Mayu Ueno (MPP '24) were speaking in a corridor at Weill Hall, sharing thoughts about past jobs, future jobs, and their families. Roaming the halls, you can hear similar conversations, in their case in ...
A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers.
Christopher Brooks, assistant professor of information, an...
This fall, John Leahy was elected as one of 51 new fellows to the Econometric Society, an international society for the advancement of economic theory and its relationship to statistics and mathematics. Leahy was nominated by his peers, and is only o...
The Ford School is delighted to announce that a number of faculty members will join our community this fall. To introduce them to the Ford School and University, we’re running weekly Q&As throughout the summer that touch on their policy and personal ...
The objective of this course is to provide a foundation in statistics and their application to questions in public policy and social science research. Key topics include measurement, data collection, descriptive statistics, probability theory, statis...
Policy makers have long relied on quantitative analysis to inform their decision-making, and recent advances in data gathering and in computing have made quantitative analysis even more prevalent. The goal of this course is for students to be able to...
The objective of this course is to provide a foundation in statistics and their application to questions in public policy and social science research. Key topics include measurement, data collection, descriptive statistics, probability theory, statis...
Policy makers have long relied on quantitative analysis to inform their decision-making, and recent advances in data gathering and in computing have made quantitative analysis even more prevalent. The goal of this course is for students to be able to...
If you waived out of or did not take PubPol 529, please contact [email protected] to enroll in this course.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The cours...
If you waived out of or did not take PubPol 529, please contact [email protected] to enroll in this course.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The cours...
This is a core course restricted to Ford School students only.
This course covers descriptive statistics, probability theory, probability distributions ( normal, binomial, chi-squared, F), sampling distributions, confidence intervals, and hypothesi...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing. It also includes an introduction to experimental ...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research. We use education data and examples to teach course concepts, including class si...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing. It also includes an introduction to experimental ...
This course serves as an introduction to qualitative methods for MPP/MPA students. While we will examine a range of qualitative methodological approaches, the course's core focus will be on the case study method, with special emphasis on observationa...
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 U.S. as well as s...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing. It also includes an introduction to experimental ...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing. It also includes an introduction to experimental ...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research. We use education data and examples to teach course concepts, including class si...
This course serves as an introduction to qualitative methods for MPP/MPA students. While we will examine a range of qualitative methodological approaches, the course's core focus will be on the case study method, with special emphasis on observationa...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research. We use education data and examples to teach course concepts, including class si...
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 U.S. as well as s...
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing. It also includes an introduction to experimental ...
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research. We use education data and examples to teach course concepts, including class si...
