Replication Data for: Elite Interactions and Voters’ Perceptions of Parties’ Policy Positionsdoi:10.7910/DVN/KH9N7WHarvard Dataverse2020-01-091Adams, James; Weschle, Simon; Wlezien, Christopher, 2020, "Replication Data for: Elite Interactions and Voters’ Perceptions of Parties’ Policy Positions", https://doi.org/10.7910/DVN/KH9N7W, Harvard Dataverse, V1Replication Data for: Elite Interactions and Voters’ Perceptions of Parties’ Policy Positionsdoi:10.7910/DVN/KH9N7WAdams, JamesWeschle, SimonWlezien, ChristopherWeschle, SimonHarvard DataverseAdams, JamesWeschle, SimonWlezien, ChristopherWeschle, Simon2019-10-14Social SciencesElite interactionsPolicy perceptionsRecent research documents that voters infer that governing coalition partners share similar ideologies, independently of these parties’ actual policy statements. We argue that citizens estimate party positions from more general forms of inter-party cooperation and conflict, particularly near the times of national elections. We analyze tens of thousands of media reports on elite interactions from 13 Western democracies between 2001 and 2014, and show that – controlling for coalition arrangements and for the policy tones of parties’ election manifestos – voters infer greater left-right agreement between pairs of parties that have more cooperative public relationships, but that this “cooperation effect” is only evident near the times of national elections. Our findings have implications for parties’ policy images and for mass-elite linkages.This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. <br></br> The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the <a href="https://osf.io/tvyxz/wiki/home/" target="_blank">Center for Open Science</a>.<br></br> <img src="https://odum.unc.edu/files/2019/09/OpenData_PR.png" alt="Open Data Badge" height="77" width="80"> <img src="https://odum.unc.edu/files/2019/09/OpenMaterials_PR.png" alt="Open Materials Badge" height="77" width="80">Fortunato, David, Thiago Silva and Laron K. Williams. 2018. "Strategies for Studying Voters' Perceptions of Party Brands." Paper presented at the Annual Conference of the European Political Science Association, Vienna, Austria: https://pdfs.semanticscholar. org/631e/45b17d3e7b61e11db1bec5b22766c2b6d1e9.pdf.<br></br> Lowe, Will, Kenneth R Benoit, Slava Mikhaylov and Michael Laver. 2011. "Scaling Policy Preferences from Coded Political Texts." <i>Legislative Studies Quarterly</i> 36(1):123-155. <br></br> Volkens, Andrea, Pola Lehmann, Theres Matthieß, Nicolas Merz, Sven Regel and Annika Werner. 2016. "The Manifesto Data Collection. Manifesto Project (MRG/CMP/MARPOR). Version 2016a." Berlin: Wissenschaftszentrum Berlin fur Sozialforschung (WZB). https://doi.org/10.25522/manifesto.mpds.2016a.<br></br> Weschle, Simon. 2018. "Quantifying Political Relationships." <i>American Political Science Review</i> 112(4):1090-1095.The <i>American Journal of Political Science</i> and the Odum Institute for Research in Social Science 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.This dataset is made available with limited information on how it can be used. You may wish to communicate with the Contact(s) specified before use.Adams, James, Simon Weschle, and Christopher Wlezien. 2021. “Elite Interactions and Voters’ Perceptions of Parties’ Policy Positions.” <i>American Journal of Political Science</i> 65 (1): 101–14.10.1111/ajps.12510Adams, James, Simon Weschle, and Christopher Wlezien. 2021. “Elite Interactions and Voters’ Perceptions of Parties’ Policy Positions.” <i>American Journal of Political Science</i> 65 (1): 101–14.readme.txttext/plainanalysis.Rtype/x-r-syntaxanalysis_appendix.Rtype/x-r-syntaxcompile_data.Rtype/x-r-syntaxdata_6months_codebook.pdfapplication/pdfdata_9months_codebook.pdfapplication/pdfdata_combined_codebook.pdfapplication/pdfdata_directinteractions_codebook.pdfapplication/pdfdata_publishers_codebook.pdfapplication/pdfdata_qpr_uk_codebook.pdfapplication/pdf.Rapp.historyapplication/octet-streamdata_6months.rdaapplication/gzipdata_9months.rdaapplication/gzipdata_combined.rdaapplication/gzipdata_directinteractions.rdaapplication/gzipdata_publishers.rdaapplication/gzipdata_qpr_uk.rdaapplication/gzipfig_1.pdfapplication/pdffig_2a.pdfapplication/pdffig_2b.pdfapplication/pdftab_1a.texapplication/x-textab_1b.texapplication/x-textab_1c.texapplication/x-textab_2.texapplication/x-textab_a1.texapplication/x-textab_a2_a3.texapplication/x-textab_a4.texapplication/x-textab_a5.texapplication/x-textab_a6.texapplication/x-textab_a7.texapplication/x-textab_a8.texapplication/x-textab_a9.texapplication/x-tex