Replication data for: On The Validity Of The Regression Discontinuity Design For Estimating Electoral Effects: New Evidence From Over 40,000 Close Races (doi:10.7910/DVN/24937)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Replication data for: On The Validity Of The Regression Discontinuity Design For Estimating Electoral Effects: New Evidence From Over 40,000 Close Races

doi:10.7910/DVN/24937

Harvard Dataverse

2014-03-18

2

Eggers, Andrew C.; Fowler, Anthony; Hainmueller, Jens; Hall, Andrew B.; Snyder, James M. Jr., 2014, "Replication data for: On The Validity Of The Regression Discontinuity Design For Estimating Electoral Effects: New Evidence From Over 40,000 Close Races", https://doi.org/10.7910/DVN/24937, Harvard Dataverse, V2, UNF:5:djXFvenPNMxp/4UKcXiT1w== [fileUNF]

Replication data for: On The Validity Of The Regression Discontinuity Design For Estimating Electoral Effects: New Evidence From Over 40,000 Close Races

doi:10.7910/DVN/24937

Eggers, Andrew C. (London School of Economics)

Fowler, Anthony (University of Chicago)

Hainmueller, Jens (Stanford University)

Hall, Andrew B. (Harvard University)

Snyder, James M. Jr. (Harvard University and NBER)

Hainmueller, Jens

Harvard Dataverse

jhain@stanford.edu

Jens Hainmueller

2014-03-15

2014

https://doi.org/10.7910/DVN/24937

Social Sciences, Regression discontinuity design, Elections

The regression discontinuity (RD) design is a valuable tool for identifying electoral effects, but this design is only effective when relevant actors do not have precise control over election results. Several recent papers contend that such precise control is possible in large elections, pointing out that the incumbent party is more likely to win very close elections in the U.S. House of Representatives in recent periods. In this paper, we examine whether similar patterns occur in other electoral settings, including the U.S. House in other time periods, statewide, state legislative, and mayoral races in the U.S., and national or local elections in a variety of other countries. No other case exhibits this pattern. We also cast doubt on suggested explanations for incumbent success in close House races. We conclude that the assumptions behind the RD design are likely to be met in a wide variety of electoral settings and offer a set of best practices for RD researchers going forward.

United States

Version Date: 2014Version Text: 1

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Eggers, Andrew C., Anthony Fowler, Jens Hainmueller, Andrew B. Hall, and James M. Snyder. 2015. “On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from Over 40,000 Close Races.” <i>American Journal of Political Science</i> 59 (1): 259–74.

10.1111/ajps.12127

Eggers, Andrew C., Anthony Fowler, Jens Hainmueller, Andrew B. Hall, and James M. Snyder. 2015. “On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from Over 40,000 Close Races.” <i>American Journal of Political Science</i> 59 (1): 259–74.

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• No. of variables per record: 17

• Type of File: text/tab-separated-values

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• No. of variables per record: 10

• Type of File: text/tab-separated-values

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• yearelec - year
• difdpct - Margin of Victory
• demwin - Democratic Win t
• dwinprv - Democratic Win t-1
• prvtrmsd - Democratic # Previous Terms
• prvtrmso - Republican # Previous Terms
• deminc - Democratic Incumb in Race
• nondinc - Republican Incumb in Race
• dexpadv - Democratic Experience Adv
• rexpadv - Republican Experience Adv
• dpctprv - Democratic % Vote t-1
• difdpprv - Democratic % Margin t-1
• elcswing - Partisan Swing
• incdwnom1 - Incumbent D1 Nominate
• dspndpct - Democratic Spending %
• ddonapct - Democratic Donation %
• cqrating3 - CQ Rating
• country
• office_type
• constituency
• year - year of election
• rv
• lag_rv
• place
• share_first
• share_second
• share_third

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Code to Replicate table 1 (replication of CS)

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Code to Replicate the other tables and figures

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