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Data on Political Advertisement and Campaign Contributions in US Presidential Elections
Description
A dataset containing 15 variables on the campaign contributions of 16,265 zip codes to the
2004 and 2008 US presidential elections in addition to the demographic characteristics of each area
(Urban and Niebler 2014; Fong, Hazlett, and Imai 2018).
Usage
advertisement
Format
A data frame with 16,265 rows and 15 columns:
- zip
zip code
- treat
the log transformed TotAds
- TotAds
the total number of political advertisements aired in the zip code
- TotalPop
population size
- PercentOver65
percent of the population over 65
- Inc
median household income
- PercentHispanic
percent Hispanic
- PercentBlack
percent black
- density
population density (people per sq mile)
- per_collegegrads
percent college graduates
- CanCommute
a dummy variable indicating whether it is possible to commute to the zip code from a competitive state
- StFIPS
state FIPS code
- Cont
campaign contributions (in thousands of dollars)
- log_TotalPop
log population
- log_Inc
log median income
References
Fong, Christian, Chad Hazlett, and Kosuke Imai. 2018. Covariate Balancing Propensity Score for a Continuous
Treatment: Application to The Efficacy of Political Advertisements. The Annals of Applied Statistics 12(1):156-77.
Urban, Carly, and Sarah Niebler. 2014. Dollars on the Sidewalk: Should U.S. Presidential Candidates Advertise in Uncontested States?
American Journal of Political Science 58(2):322-36.
rbw documentation built on March 18, 2022, 5:35 p.m.
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Data on Political Advertisement and Campaign Contributions in US Presidential Elections
Description
A dataset containing 15 variables on the campaign contributions of 16,265 zip codes to the 2004 and 2008 US presidential elections in addition to the demographic characteristics of each area (Urban and Niebler 2014; Fong, Hazlett, and Imai 2018).
Usage
advertisement
Format
A data frame with 16,265 rows and 15 columns:
- zip
zip code
- treat
the log transformed TotAds
- TotAds
the total number of political advertisements aired in the zip code
- TotalPop
population size
- PercentOver65
percent of the population over 65
- Inc
median household income
- PercentHispanic
percent Hispanic
- PercentBlack
percent black
- density
population density (people per sq mile)
- per_collegegrads
percent college graduates
- CanCommute
a dummy variable indicating whether it is possible to commute to the zip code from a competitive state
- StFIPS
state FIPS code
- Cont
campaign contributions (in thousands of dollars)
- log_TotalPop
log population
- log_Inc
log median income
References
Fong, Christian, Chad Hazlett, and Kosuke Imai. 2018. Covariate Balancing Propensity Score for a Continuous Treatment: Application to The Efficacy of Political Advertisements. The Annals of Applied Statistics 12(1):156-77.
Urban, Carly, and Sarah Niebler. 2014. Dollars on the Sidewalk: Should U.S. Presidential Candidates Advertise in Uncontested States? American Journal of Political Science 58(2):322-36.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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