Gayblack Canadian Man

Foreign Policy Analysis
Policy Analysis Using Interrupted Time Series | UBCx on edX | Course About Video

Policy Analysis Using Interrupted Time Series | UBCx on edX | Course About Video


MICHAEL LAW: Let me ask you a question. In an election, does the
incumbent have an advantage? How about this one. Does advertising prescription
drugs drive sales? If you’re an employer,
would incentive payments increase the productivity
of your workers? Does smaller class sizes result
in better student performance? Finally, does paying
physicians to achieve targets improve the quality of
the health care they provide? All of these are important
questions for policy research, and they’re all questions that have been
studied using interrupted time series and regression discontinuity methods. I’m Michael Law, a regular user
and teacher of these techniques, and the instructor for ITSX. The use of interrupted time series
analysis and regression discontinuity science has been surging in
recent years, and for good reason. These methods make good use
of the huge data resources that are now available to researchers. They’re scientifically
rigorous– easily understandable to my non-specialist audiences. In ITSX, we’ll cover
interrupted time series from start to finish, including the data
you’ll need, the statistical analysis you’ll perform, and how
to present your results. Throughout the course,
we’ll share many resources including sample code, data
sets, and analytics strategies that would help you
master these techniques. After completing the course,
you’ll have all the tools you’ll need to complete your own
study using interrupted time series and regression discontinuity science. Come join us and move your
quantitative policy analysis skills to the next level.

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