1,720,988 research outputs found

    sj-docx-1-srd-10.1177_23780231231198857 – Supplemental material for Durable Change in U.S. Urban Mobility Networks, 2019–2022

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    Supplemental material, sj-docx-1-srd-10.1177_23780231231198857 for Durable Change in U.S. Urban Mobility Networks, 2019–2022 by Thomas Marlow, Kinga Makovi and Bruno Abrahao in Socius</p

    The impact of face masks on interpersonal trust in times of COVID-19

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    Acknowledgements We thank Nageeb Ali, Dan Benjamin, Matthias Collischon, Eugen Dimant, Andreas Eberl, Paula England, Kinga Makovi, Max Mihm, and Blaine Robbins for helpful discussions and invaluable suggestions and comments.Peer reviewe

    Unequal treatment in terms of party identification when information can be falsified or withheld

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    This repository contains data for the paper: “Unequal treatment is reduced when group identity can be falsified” by Maria Abascal, Kinga Makovi and Anahit Sargsyan. The following files are included: (1) data.csv – that contains the raw data; (2) CCES2018_OUTPUT.dta; (3) data_cleaned.csv – that contains the data cleaned after the R-script preprocessing.R is executed on data.csv and CCES2018_OUTPUT.dta; (4) data_w_cces.csv – that contains the data collected for the above-mentioned paper and CCES data of Democrats and Republicans; (5) main.R – that contains the code for the analyses reported in the paper; (6) si.R – that contains the code for the analyses reported in the Supplementary Materials; (7) codebook.pdf – that describes the variables

    Contested Membership: Experimental Evidence on the Treatment of Return Migrants to Mainland China during the COVID-19 Pandemic

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    Data, Code, and Readme for "Contested Membership: Experimental Evidence on the Treatment of Return Migrants to Mainland China during the COVID-19 Pandemic

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Overseas Chinese Return Migration amid the Pandemic

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    This project aims to investigate international return migration in China amid the pandemic. Against the backdrop of globalization and temporary migration regimes, a significant number of overseas Chinese citizens returned to China from their host countries as the pandemic unfolded and return policies tightened. Evidence from self-reported incidents and social media trends suggest prejudice and discriminatory behavior towards overseas returnees. Migration scholars have studied the phenomenon of cities and corporations in China vying for talents returning from overseas in recent years; however, little is known about public attitudes and how these opinions are affected by the pandemic. Relying on an online sample in China, we investigate the consequences of the pandemic-induced out-group formation, document potential differential treatment towards Chinese returnees comparing to non-returnees, and probe the pathways that may mitigate the undesirable effects of out-group formation. We employ a give-or-take dictator game to examine potential differential treatment and apply information priming to investigate whether increased awareness of the returnee experience would affect the mistreatment via the reduction of statistical discrimination

    Non-transformative climate policy options decrease conservative support for renewable energy in the US

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    Motivated by ongoing partisan division in support of climate change policy, this paper investigates whether, among self-identifying liberals and conservatives, the mere presence of a non-transformative climate policy such as carbon capture and storage (CCS), lowers support for a renewable energy (RE) policy. To interrogate this question, we use a survey experiment asking 2374 respondents about their support for a RE policy when presented with the RE policy alone, and when presented alongside a CCS policy whose funding and implementation leverage independent funding sources. We find that among conservatives, the presence of a CCS policy lowers support for RE. Furthermore, despite the lack of apparent political party cues, when presented with the policy-pair, conservatives tend to view the RE policy in more partisan terms, specifically, less supported by Republicans. Additional experimental conditions with explicit party cues reinforce this interpretation. These findings suggest that the triggering of partisan perceptions even without explicit partisan cues—what we call political anchoring—might be a key impediment to bipartisan support of climate solutions in the U.S. context

    Contested Membership: Experimental Evidence on the Treatment of Return Migrants to Mainland China during the COVID-19 Pandemic

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    Data, Code, and Readme for "Contested Membership: Experimental Evidence on the Treatment of Return Migrants to Mainland China during the COVID-19 Pandemic
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