methods@manchester summer school 2019 - Quantitative Policy Evaluation

Description:

Overview

This is an introductory course aimed at researchers, policy-makers, students and anyone interested in  estimating the effect of a policy, intervention or experiment (using data). The course will benefit researchers, practitioners and students interested in supporting policy, research and theories with solid empirical evidence. This will include people working in areas as diverse as Medicine, Economics, Criminology, Politics, Psychology, Social Policy, or Sociology to mention but a few.

The course will emphasise concepts and implementation of methods, although pertinent theoretical results will be discussed. The applications discussed in the classes will come from all walks of Social Sciences, in order to reflect the wide-ranging reach of causal inference.

Course objectives

1. Endow students with an understanding of the challenges arising when estimating the effect of a policy, experiment or intervention on a particular outcome.

2. Be able to select the most appropriate estimator to unveil a particular causal effect.

3. Be able to understand the limiting scope of the assumptions underlying each of the estimators discussed.

4. Be able to implement a battery of techniques to estimate the effect of a policy, experiment or intervention in R.

5. Be able to search for (and identify) natural experiments.

Understand how to design an evaluation plan.

Prerequisites
A course on statistical inference, regression or econometrics

Cost:

Cost - Students - £600
University of Manchester Staff - £600
Other attendees - £900

Website and registration:

https://www.methods.manchester.ac.uk/connect/events/summer-school-2019/

Region:

North West

Keywords:

Quantitative Data Handling and Data Analysis, Quantitative Software, R

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Quantitative Software
R

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