Synthetic control methods for comparative case studies
estimating the effect of california's tobacco control program
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Author
Contributions
- Abadie, Alberto. - Contributor
- Diamond, Alexis. - Contributor
- Hainmueller, Jens. - Contributor
- National Bureau of Economic Research. - Contributor
Publication
2007 - National Bureau of Economic Research, Cambridge, MA, Massachusetts
Language
English
Word Count
0 words, Guess
Page Count
0 pages
Physical Format
Electronic resource
Identifiers
- Library of Congress Control Number2007615068
- Open LibraryOL16262237M
Classifications
- LCCHB1
Description
"Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies. We discuss the advantages of these methods and apply them to study the effects of Proposition 99, a large-scale tobacco control program that California implemented in 1988. We demonstrate that following Proposition 99 tobacco consumption fell markedly in California relative to a comparable synthetic control region. We estimate that by the year 2000 annual per-capita cigarette sales in California were about 26 packs lower than what they would have been in the absence of Proposition 99. Given that many policy interventions and events of interest in social sciences take place at an aggregate level (countries, regions, cities, etc.) and affect a small number of aggregate units, the potential applicability of synthetic control methods to comparative case studies is very large, especially in situations where traditional regression methods are not appropriate. The methods proposed in this article produce informative inference regardless of the number of available comparison units, the number of available time periods, and whether the data are individual (micro) or aggregate (macro). Software to compute the estimators proposed in this article is available at the authors' web-pages"--National Bureau of Economic Research web site.
Subjects
Series Statement
- NBER working paper series -- working paper 12831
- Working paper series (National Bureau of Economic Research : Online) -- working paper no. 12831.
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