Using Panel Data for Macroeconomic Policy Evaluation: A Survey
Abstract
In order to measure the macroeconomic effect of some policy or event, a “treatment”, we need to construct a
“counterfactual”, a prediction of what would have happened in the absence of treatment, which is unobserved. Panel
data for countries and regions, where the number of units and time periods are large, potentially provide untreated
control groups which can be used to construct the counterfactual. A number of different procedures have been
suggested for such policy evaluations, including the synthetic control method, SCM, and the panel data approach,
PDA. We survey these and other methods.
Keywords
References
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Details
Primary Language
English
Subjects
Economics
Journal Section
Research Article
Authors
Ron Smith
This is me
Publication Date
October 26, 2019
Submission Date
May 25, 2019
Acceptance Date
August 26, 2019
Published in Issue
Year 2019 Volume: 19 Number: 4