| campaign_long {rbw} | R Documentation |
Long-format Data on Negative Campaign Advertising in US Senate and Gubernatorial Elections
Description
A dataset containing 19 variables and 565 unit-week records on the campaign of 113 Democratic candidates in US Senate and Gubernatorial Elections from 2000 to 2006 (Blackwell 2013).
Usage
campaign_long
Format
A data frame with 565 rows and 19 columns:
- demName
name of the Democratic candidate
- d.gone.neg
whether the candidate went negative in a campaign-week, defined as whether more than 10% of the candidate's political advertising was negative
- d.gone.neg.l1
whether the candidate went negative in the previous campaign-week
- camp.length
length of the candidate's campaign (in weeks)
- deminc
whether the candidate was an incumbent
- base.poll
Democratic share in the baseline polls
- base.und
share of undecided voters in the baseline polls
- office
type of office in contest. 0: governor; 1: senator
- demprcnt
Democratic share of the two-party vote in the election
- week
week in the campaign (in the final five weeks preceding the election)
- year
year of the election
- state
state of the election
- dem.polls
Democratic share in the polls
- dem.polls.l1
Democratic share in the polls in the previous campaign-week
- undother
share of undecided voters in the polls
- undother.l1
share of undecided voters in the polls in the previous campaign-week
- neg.dem
the proportion of advertisements that were negative in a campaign-week
- neg.dem.l1
the proportion of advertisements that were negative in the previous campaign-week
- id
candidate id
References
Blackwell, Matthew. 2013. A Framework for Dynamic Causal Inference in Political Science. American Journal of Political Science 57(2): 504-619.