1,720,981 research outputs found
Replication Data for: Passing It Along: Experiments on Creating the Negative Externalities of Climate Change
No full textStata and R files to reproduce the results and figures in DelPonte, Delton, Kline & Seltzer "Passing It Along: Experiments on Creating the Negative Externalities of Climate Change"
Replication Data for: Passing It Along: Experiments on Creating the Negative Externalities of Climate Change
No full textStata and R files to reproduce the results and figures in DelPonte, Delton, Kline & Seltzer "Passing It Along: Experiments on Creating the Negative Externalities of Climate Change"
Replication Data for: Unfair rules for unequal pay: Wage discrimination and procedural justice
No full textDo people judge some forms of wage discrimination to be more unfair than others? We report an experiment in an online labor market in which participants were paid based on discriminatory rules. We test hypotheses about fairness based on procedural justice, divisiveness, and affective polarization between partisans. Workers transcribed text and then learned that they earned more or less money than other workers for doing the same job. We manipulated whether the unequal pay was based on their political party, eye color, or an arbitrary choice between two doors. Consistent with the divisiveness hypothesis, participants judged discriminatory pay to be less fair when it was based on a stable characteristic, political party or eye color, compared to a transient choice (between doors). We find mixed evidence about how affective polarization exacerbates the unfairness of partisan discrimination. We discuss implications for the procedural justice of wage discrimination
Replication Data for: High Risk and High Reward Behavioral Decision Making to Mitigate Climate Change
No full textRaw data and codebook for "High Risk and High Reward Behavioral Decision Making to Mitigate Climate Change" by Talbot M. Andrews, Andrew W. Delton, and Reuben Kline. Stony Brook University, Dept. of Political Science & Center for Behavioral Political Economy
Replication Data for: Unfair rules for unequal pay: Wage discrimination and procedural justice
No full textDo people judge some forms of wage discrimination to be more unfair than others? We report an experiment in an online labor market in which participants were paid based on discriminatory rules. We test hypotheses about fairness based on procedural justice, divisiveness, and affective polarization between partisans. Workers transcribed text and then learned that they earned more or less money than other workers for doing the same job. We manipulated whether the unequal pay was based on their political party, eye color, or an arbitrary choice between two doors. Consistent with the divisiveness hypothesis, participants judged discriminatory pay to be less fair when it was based on a stable characteristic, political party or eye color, compared to a transient choice (between doors). We find mixed evidence about how affective polarization exacerbates the unfairness of partisan discrimination. We discuss implications for the procedural justice of wage discrimination
Replication Data for: Differentiated Responsibilities and Prosocial Behavior in Climate Change Mitigation
No full textData for all analysis and data visualization done in the study. Stata code for data processing and analysis, and R code for data visualizatio
Replication Data for: Differentiated Responsibilities and Prosocial Behavior in Climate Change Mitigation
No full textData for all analysis and data visualization done in the study. Stata code for data processing and analysis, and R code for data visualizatio
Replication Data for: High Risk and High Reward Behavioral Decision Making to Mitigate Climate Change
No full textRaw data and codebook for "High Risk and High Reward Behavioral Decision Making to Mitigate Climate Change" by Talbot M. Andrews, Andrew W. Delton, and Reuben Kline. Stony Brook University, Dept. of Political Science & Center for Behavioral Political Economy
Replication Data for: Personality and Prosocial Behavior: A Multilevel Meta-Analysis
No full textWe investigate the effect of personality on prosocial behavior in a Bayesian mul- tilevel meta-analysis (MLMA) of 15 published, interdisciplinary experimental stud- ies. With data from the 15 studies constituting nearly 2,500 individual observations, we find that the Big Five traits of Agreeableness and Openness are significantly and positively associated with prosocial behavior, while none of the other three traits are. These results are robust to a number of different model specifications and operational- izations of prosociality, and they greatly clarify the contradictory findings in the liter- ature on the relationship between personality and prosocial behavior. Though previ- ous research has indicated that incentivized experiments result in reduced prosocial behavior, we find no evidence that monetary incentivization of participants affects prosocial tendencies. By leveraging individual observations from multiple studies and explicitly modeling the multilevel structure of the data, MLMA permits the si- multaneous estimation of study- and individual-level effects. The Bayesian approach allows us to estimate study-level effects in an unbiased and efficient manner, even with a relatively small number of studies. We conclude by discussing the limitations of our study and the advantages and disadvantages of the MLMA method
Replication Data for: Personality and Prosocial Behavior: A Multilevel Meta-Analysis
No full textWe investigate the effect of personality on prosocial behavior in a Bayesian mul- tilevel meta-analysis (MLMA) of 15 published, interdisciplinary experimental stud- ies. With data from the 15 studies constituting nearly 2,500 individual observations, we find that the Big Five traits of Agreeableness and Openness are significantly and positively associated with prosocial behavior, while none of the other three traits are. These results are robust to a number of different model specifications and operational- izations of prosociality, and they greatly clarify the contradictory findings in the liter- ature on the relationship between personality and prosocial behavior. Though previ- ous research has indicated that incentivized experiments result in reduced prosocial behavior, we find no evidence that monetary incentivization of participants affects prosocial tendencies. By leveraging individual observations from multiple studies and explicitly modeling the multilevel structure of the data, MLMA permits the si- multaneous estimation of study- and individual-level effects. The Bayesian approach allows us to estimate study-level effects in an unbiased and efficient manner, even with a relatively small number of studies. We conclude by discussing the limitations of our study and the advantages and disadvantages of the MLMA method
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