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Policy Analysis Using Interrupted Time Series

5 Weeks

$ 49

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Brief Introduction

A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis.

Description

Interrupted time series analysis and regression discontinuity designs are two of the most rigorous ways to evaluate policies with routinely collected data. ITSx comprehensively introduces analysts to interrupted time series analysis (ITS) and regression discontinuity designs (RD) from start to finish, including selection and setup of data sources, statistical analysis, interpretation and presentation, and identification of potential pitfalls.

At the conclusion of the course, students will have all the tools necessary to propose, conduct and correctly interpret an analysis using ITS and RD approaches. This will help them position themselves as a go-to person within their company, government department, or academic department as the technical expert on this topic.

ITS and RD designs avoid many of the pitfalls associated with other techniques. As a result of their analytic strength, the use of ITS and RD approaches has been rapidly increasing over the past decade. These studies have cut across the social sciences, including:

Studying the effect of traffic speed zones on mortality
Quantifying the impact of incentive payments to workers on productivity
Assessing whether alcohol policies reduce suicide
Measuring the impact of incentive payments to physicians on quality of care
Determining whether the use of HPV vaccination influences adolescent sexual behavior

Knowledge

The strengths and drawbacks of ITS and RD studies
Data requirements, setup, and statistical modelling
Interpretation of results for non-technical audiences
Production of compelling figures

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