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 world.
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
In the first part of the course you will be introduced to some of the analytic frameworks and conceptual theories used to study American public policy making and you will learn how these models were applied to a classic public policy problem.
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 coursework.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This course begins a two-term sequence designed to provide students with an understanding of the economic implications of public policies and with analytic tools useful in system design and policy planning.
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
Public Policy 821 is intended as a complement (and not a substitute) for Applied Econometrics 675 and similar courses in other schools and departments.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
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 world.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
This course begins a two-term sequence designed to provide students with an understanding of the economic implications of public policies and with analytic tools useful in system design and policy planning.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
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 obs
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.
