Replication Data for: Context and Accountability: How the Informational and Partisan Contexts Shape Voter Behavior and Representation (doi:10.7910/DVN/PDCTPK)

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Part 2: Study Description
Part 3: Data Files Description
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Document Description

Citation

Title:

Replication Data for: Context and Accountability: How the Informational and Partisan Contexts Shape Voter Behavior and Representation

Identification Number:

doi:10.7910/DVN/PDCTPK

Distributor:

Harvard Dataverse

Date of Distribution:

2019-12-10

Version:

1

Bibliographic Citation:

Moskowitz, Daniel, 2019, "Replication Data for: Context and Accountability: How the Informational and Partisan Contexts Shape Voter Behavior and Representation", https://doi.org/10.7910/DVN/PDCTPK, Harvard Dataverse, V1, UNF:6:xc1CelqKzA0VFjRhXtTMrA== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Context and Accountability: How the Informational and Partisan Contexts Shape Voter Behavior and Representation

Identification Number:

doi:10.7910/DVN/PDCTPK

Authoring Entity:

Moskowitz, Daniel

Producer:

Department of Government

Distributor:

Harvard Dataverse

Distributor:

Department of Government

Access Authority:

Wall, Thom

Depositor:

Moskowitz, Daniel

Date of Deposit:

2019-05-14

Holdings Information:

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

Study Scope

Keywords:

Social Sciences

Topic Classification:

Harvard University, Department of Government

Abstract:

This dissertation examines how the informational and partisan contexts affect the behavior of voters. I study these contextual effects by leveraging variation in contextual features induced by the geography of media markets and redistricting. The first essay investigates the extent to which the nationalization of the news explains the nationalization of U.S. elections. I examine local television news coverage of governors and U.S. senators and show that increased news coverage translates into greater knowledge of governors and senators and increases rates of split-ticket voting. These results imply that local news coverage attenuates the nationalization of elections even in the present polarized context. The second essay explores the role of the informational context in retrospective voting. I assess whether greater exposure to relevant local news coverage enables voters to reward or punish Senate incumbents based on the extremity of their roll-call voting. The results are consistent with the hypothesis that voters infer incumbent ideology from news coverage and utilize this information in their vote choice: in-state television provides moderate incumbent senators with an electoral boost, while extreme senators experience an electoral penalty. The third essay, coauthored with Benjamin Schneer (Harvard Kennedy School) and Bernard L. Fraga (Indiana University) considers whether individuals are more likely to vote when their party dominates election outcomes. Leveraging nationwide voter file data and the redistricting process, we present causal evidence on this question via a longitudinal analysis of individual-level political participation. We find a measurable increase in turnout for individuals assigned to districts aligned with their partisan identities as compared to individuals in misaligned districts. An analysis of survey data spanning the districting cycle points to the expressive benefits of voting for the winning party as a key mechanism.

Unit of Analysis:

individuals

Methodology and Processing

Sources Statement

Notes:

This study was deposited under the of the Data-PASS standard deposit terms. A copy of the usage agreement is included in the file section of this study.

Data Access

Restrictions:

<b>The data archived in the Harvard Government Dissertation Dataverse are restricted for use for five years post deposit date.</b> I will use these data solely for the purposes stated in my application to use data, detailed in a written research proposal.

Citation Requirement:

I will include a bibliographic citation acknowledging the use of these data in any publication or presentation in which these data are used. Such citations will appear in footnotes or in the reference section of any such manuscript. I understand the guideline in "How to Cite This Dataset" described in the Summary of this study.

Conditions:

The data are available without additional conditions other than those stated in the "Restrictions" Terms of Use above.

Notes:

This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions:

Embargoed for 5 years from the publication date.

Other Study Description Materials

File Description--f3428132

File: ch1_sc_ballot.tab

  • Number of cases: 2067

  • No. of variables per record: 7

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

Notes:

UNF:6:j9wNG4eZsj1bI4wUa3/6JA==

File Description--f3428130

File: ch1_tv_captions.tab

  • Number of cases: 555

  • No. of variables per record: 20

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

Notes:

UNF:6:3AXdrIno/khGWysIIj16vQ==

File Description--f3428129

File: ch1_voter.tab

  • Number of cases: 121035

  • No. of variables per record: 46

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

Notes:

UNF:6:+re0vRh32Eo/gng2sh1omw==

File Description--f3428128

File: ch2_perceived_ideology.tab

  • Number of cases: 177999

  • No. of variables per record: 28

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

Notes:

UNF:6:Pr+BFWXauj+SZn6jkhOoFg==

File Description--f3428127

File: ch2_roll_call_knowledge.tab

  • Number of cases: 156264

  • No. of variables per record: 28

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

Notes:

UNF:6:aD+SOB1pgWJ4E+OllOVr8A==

File Description--f3428131

File: ch3_district_perceptions_contact.tab

  • Number of cases: 23316

  • No. of variables per record: 45

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

Notes:

UNF:6:M4U1YDSKImpAnj94joEhTQ==

Other Study-Related Materials

Label:

readme.txt

Notes:

text/plain