Replication Data for: Local Orientation in the U.S. House of Representatives (doi:10.7910/DVN/DEDZRZ)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Replication Data for: Local Orientation in the U.S. House of Representatives

doi:10.7910/DVN/DEDZRZ

Harvard Dataverse

2024-10-24

1

Ban, Pamela; Kaslovsky, Jaclyn, 2024, "Replication Data for: Local Orientation in the U.S. House of Representatives", https://doi.org/10.7910/DVN/DEDZRZ, Harvard Dataverse, V1, UNF:6:QRAaK0k9/RGuAvbYEMXAEA== [fileUNF]

Replication Data for: Local Orientation in the U.S. House of Representatives

doi:10.7910/DVN/DEDZRZ

Ban, Pamela (University of California San Diego)

Kaslovsky, Jaclyn (Washington University in St. Louis)

Pamela Ban

Harvard Dataverse

Pamela Ban

Ban, Pamela

2024-07-15

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

Social Sciences, representation, congressional committees, constituents, local orientation

What drives legislators to emphasize local issues in a nationalized setting? Although the representation literature has highlighted why legislators present themselves as district- or nationally-oriented in constituent-facing activities, research remains limited on this behavior within Congress. We leverage congressional speech to provide evidence on how electoral competitiveness, district demographics, and legislator characteristics influence representation during the committee stage, a critical step in policymaking. Using U.S. House hearing transcripts from 1999–2018, we examine what types of legislators are more likely to mention their constituents and the local communities in their districts. Results reveal that women legislators use significantly more locally-oriented statements compared to their male counterparts. This difference between male and female legislators, which is concentrated among Democrats, is similarly observed on the House floor. Overall, these results provide new evidence that the link between gender and policy representation persists even in settings when constituents are not the only intended audience.

This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge

Ansolabehere, Steve. 2022. "CES 2020, Team Module of Harvard University (HUA)." URL: https://doi.org/10.7910/DVN/ZKCEHL <br></br> Gentzkow, Matthew, Jesse M. Shapiro, and Matt Taddy. 2018. Congressional Record for the 43rd-114th Congresses: Parsed Speeches and Phrase Counts. Palo Alto, CA: Stanford Libraries [distributor], 2018-01-16. URL: https://data.stanford.edu/congress_text <br></br> Lewis, Jeffrey B., Brandon DeVine, Lincoln Pitcher, and Kenneth C. Martis. 2013. Digital Boundary Definitions of United States Congressional Districts, 1789-2012. [Data file and code book].”. Retrieved from http://cdmaps.polisci.ucla.edu on March 5, 2021. <br></br> Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet. 2022. Congressional Roll-Call Votes Database. URL: https://voteview.com/ <br></br> Missouri Census Data Center. Geocorr 2018: Geographic Correspondence Engine. URL: https://mcdc.missouri.edu/applications/geocorr2018.html <br></br> Stewart III, Charles and Jonathan Woon. 2017. Congressional Committee Assignments, 103rd to 115th Congresses, 1993--2017: [House] 1/28/2022 [Computer file].” URL: http//web.mit.edu/17.251/www/data_page.html. <br></br> U.S. Government Publishing Office. Congressional Hearings. Accessed 2022-11-16. URL: https://www.govinfo.gov/app/collection/chrg <br></br> Volden, Craig, and Alan E Wiseman. 2020. “Legislative Effectiveness House Data from 1973-2020 [Computer file].”. The Center for Effective Lawmaking [distributor]. URL: https//thelawmakers.org/data-download.

The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

• Number of cases: 1000

• No. of variables per record: 5

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

UNF:6:QRAaK0k9/RGuAvbYEMXAEA==

• teamweight - Team Weight
• HUA20_341a - Staff in DC vs local offices -- Your U.S. House member
• HUA20_341b - Staff in DC vs local offices -- Your U.S. Senators
• HUA20_344a - Reps focus on local or national issues -- Your U.S. House member
• HUA20_344b - Reps focus on local or national issues -- Your U.S. Senators

f10426275 Location:

Summary Statistics: Min. 0.0562976586444591; Max. 6.53828235649883; StDev 0.7233108382833664; Mean 0.9999999999999999; Valid 1000.0;

Variable Format: numeric

Notes: UNF:6:5vpgzzxkeu7w+KdZKiWodA==

f10426275 Location:

Summary Statistics: Min. 1.0; Valid 994.0; Max. 3.0; StDev 0.5680861109604975; Mean 2.116700201207243

Variable Format: numeric

Notes: UNF:6:9WvN0vw7U2Y0KObnlF0Gyw==

f10426275 Location:

Summary Statistics: Min. 1.0; Valid 994.0; StDev 0.5786491071438951; Mean 2.074446680080483; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:ttjpLGDidbumfMulMdTnUA==

f10426275 Location:

Summary Statistics: Valid 984.0; Min. 1.0; Max. 2.0; StDev 0.4798745569789922; Mean 1.3587398373983741

Variable Format: numeric

Notes: UNF:6:7QPW6hrJm4Ize1Re/dMR9g==

f10426275 Location:

Summary Statistics: StDev 0.4844985573147607; Min. 1.0; Mean 1.6244939271255059; Max. 2.0; Valid 988.0

Variable Format: numeric

Notes: UNF:6:rL6pLoQV1nfRkLGIFgYh1g==

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Codebook.pdf

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data_committee.RData

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data_floor.RData

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data_leg.RData

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data_over.RData

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Main Analyses.R

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README.txt

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selected topics.xlsx

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