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1 to 10 of 262 Results
Nov 6, 2026
Aryal, Gaurab; Campbell, Dennis J.; Ciliberto, Federico; Khmelnitskaya, Ekaterina, 2026, "Replication data for: Common Subcontracting and Airline Prices", https://doi.org/10.7910/DVN/GDV9UM
The code in this replication package is the code used for the analysis in Aryal, Campbell, Ciliberto, and Khmelnitskaya (2023), Review of Economics and Statistics. The data are organized and estimated using STATA and some figures and tables are generated using MATLAB, R and LaTeX. This package can generate most of the figures and tables (including...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Nov 5, 2026
Yasin Martin, Tauheeda; Delgadillo, Guiselle; Chloe Menoud; Maverick Bonnes; Asante, Ethan; Boppuri, Neil; Elbackush, Luluah; Abebe, Helen, 2026, "Massachusetts Legal Statutes: Penalties Dataset (1692–2025)", https://doi.org/10.7910/DVN/7RACQV
This dataset tracks statutory monetary penalties and related legal financial obligations across Massachusetts law from 1692–2025. The dataset includes identifiable statutory observations, amendments, and updates associated with monetary penalties, including fines, surcharges, court costs, restitution, and related financial sanctions. Records were c...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Oct 14, 2026
Evans, Heather, 2026, "Replication Data for: Issue Framing After Dobbs: Examining How Abortion was Addressed in Tweets During the 2022 Midterm Election", https://doi.org/10.7910/DVN/GDYDJZ
In this manuscript, I explore how abortion was framed as an issue during the 2022 Midterm elections on Twitter, the election directly after the overturning of Roe v Wade. Leveraging a dataset of all tweets sent by U.S. House candidates for two months prior to the election, I examine how both gender and partisanship impacted the discussion of aborti...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Oct 3, 2026
Hayes, Danny; Lawless, Jennifer L., 2026, "Replication Data for: All Ambition is Local: News Consumption and the Decision to Run for Office", https://doi.org/10.7910/DVN/M88NMO
Recent research suggests that the nationalization of the media environment means that people’s interest in running for office may now be driven largely by national rather than local forces. We argue, however, that there are theoretical reasons to expect that exposure to local news remains a primary catalyst of political ambition. To test this argum...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 25, 2026
Gans-Morse, Jordan; Daniel Gingerich; Thomas Pepinsky, 2026, "Replication Data for: Comparative Politics and the New Area Studies", https://doi.org/10.7910/DVN/UCCIAZ
We revisit the sharp divide that emerged in the 1990s between area studies advocates and methodologically oriented political scientists. We argue that tensions between political science and area studies are neither intrinsic nor static, but instead evolve in tandem with theoretical and methodological trends, as well as with broader political and te...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 12, 2026
Colmer, Jonathan; Doleac, Jennifer, 2026, "Replication data for Access to Guns in the Heat of the Moment: More Restrictive Gun Laws Mitigate the Effect of Temperature on Violence", https://doi.org/10.7910/DVN/YAS0F5
Colmer, Jonathan, and Doleac, Jennifer L., (2026) “Access to Guns in the Heat of the Moment: More Restrictive Gun Laws Mitigate the Effect of Temperature on Violence.” Review of Economics and Statistics 108:1, 30–43.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 11, 2026
Aliprantis, Dionissi; Carroll, Daniel R.; Young, Eric R, 2026, "Replication Data for: The Dynamics of the Racial Wealth Gap", https://doi.org/10.7910/DVN/VZHWHV
This package contains the code and model output that reproduce every figure and table in "The Dynamics of the Racial Wealth Gap" (Aliprantis, Carroll, and Young, International Economic Review). The paper studies the dynamics of the racial wealth gap (the wealth of Black households relative to white ones) using a dynamic equilibrium model of overlap...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 25, 2026
Weerasinghe, Keshara; Roodabeh, Seyed Hamid Reza; Hawkins, Andrew; Zhang, Zhaomeng; Alemzadeh, Homa, 2026, "MiDAS: A Multimodal Data Acquisition System for Robot Assisted Minimally Invasive Surgery", https://doi.org/10.7910/DVN/KDQAGC
This dataset contains multimodal recordings collected using MiDAS, an open-source, platform-agnostic system for non-invasive data acquisition in robot-assisted minimally invasive surgery (RMIS). The dataset includes time-synchronized electromagnetic (EM) hand tracking, surgical video, RGB-D hand tracking, and foot pedal interactions captured on bot...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 15, 2026
Erin Lambert, 2026, "Spatial Data in the Trials of Accused Anabaptists in Bern, 1565-1578", https://doi.org/10.7910/DVN/DG3W9E
Spatial data compiled from records of interrogations of accused Anabaptists in Bern, 1565-1578 (Staatsarchiv Bern, B IX, Turmbücher)
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 12, 2026
Donovan, Kevin; Brooks, Wyatt; Johnson, Terence R., 2026, "Replication data for: From Micro to Macro in an Equilibrium Diffusion Model", https://doi.org/10.7910/DVN/XFTA0W
Replication package for "From Micro to Macro in an Equilibrium Diffusion Model," forthcoming at Review of Economics and Statistics
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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