41 to 50 of 586 Results
Aug 5, 2024
Elhorst, J.Paul, 2024, ""Replication Data for" Parameterizing Spatial Weight Matrices in Spatial Econometric Models", https://doi.org/10.7910/DVN/V9L9XC, Harvard Dataverse, V1
Abstract: Spatial econometric models allow for interactions among cross-sectional units through spatial weight matrices. This paper parameterizes each spatial weight matrix in the widely used spatial Durbin model with a different instead of one common distance decay parameter, using negative exponential and inverse distance matrices. We propose a j... |
Jun 29, 2024
Bailey, Michael, 2024, "Replication Data for: Countering Non-Ignorable Nonresponse in Survey Models with Randomized Response Instruments and Doubly Robust Estimation", https://doi.org/10.7910/DVN/L2NVRD, Harvard Dataverse, V1
Conventional survey tools such as weighting do not address non-ignorable nonresponse that occurs when nonresponse depends on the variable being measured. This paper describes non-ignorable nonresponse weighting and imputation models using randomized response instruments, which are variables that affect response but not the outcome of interest \cite... |
May 13, 2024
Atsusaka, Yuki, 2024, "Replication Data for: Analyzing Ballot Order Effects When Voters Rank Candidates", https://doi.org/10.7910/DVN/AJXRCV, Harvard Dataverse, V1, UNF:6:aQmKDIcvzRE9s+QzgzjPtw== [fileUNF]
How does candidate order on the ballot affect voting behavior when voters rank multiple candidates? I extend the analysis of ballot order effects to electoral systems with ordinal ballots, where voters rank multiple candidates, including ranked-choice voting (RCV). First, I discuss two types of ballot order effects, including "position effects''---... |
May 7, 2024
Küpfer, Andreas, 2024, "Replication Data for: Non-random Tweet Mortality and Data Access Restrictions: Compromising the Replication of Sensitive Twitter Studies", https://doi.org/10.7910/DVN/UUDNM7, Harvard Dataverse, V1
Used by politicians, journalists and citizens, Twitter has been the most important social media platform to investigate political phenomena such as hate speech, polarization, or terrorism for over a decade. A high proportion of Twitter studies of emotionally charged or controversial content limit their ability to replicate findings due to incomplet... |
Moniz, Philip; Ramirez-Perez, Rodrigo; Hartman, Erin; Jessee, Stephen, 2024, "Replication Data for: Generalizing toward Nonrespondents: Effect Estimates in Survey Experiments Are Broadly Similar for Eager and Reluctant Participants", https://doi.org/10.7910/DVN/N15MSX, Harvard Dataverse, V1, UNF:6:yg3ZxVeDkBrtlFjBV6dhIQ== [fileUNF]
Survey experiments on probability samples are a popular method for investigating population-level causal questions due to their strong internal validity. However, lower survey response rates and an increased reliance on online convenience samples raise questions about the generalizability of survey experiments. We examine this concern using data fr... |
Apr 2, 2024
Bisbee, James, 2024, "Replication Data for: Synthetic Replacements for Human Survey Data? The Perils of Large Language Models", https://doi.org/10.7910/DVN/VPN481, Harvard Dataverse, V1
Large Language Models (LLMs) offer new research possibilities for social scientists, but their potential as “synthetic data" is still largely unknown. In this paper, we investigate how accurately the popular LLM ChatGPT can recover public opinion, prompting the LLM to adopt different “personas” and then provide feeling thermometer scores for 11 soc... |
Apr 1, 2024
Esterling, Kevin; Park, Ju Yeon, 2024, "Replication Data for: Flexible Estimation of Policy Preferences for Witnesses in Committee Hearings", https://doi.org/10.7910/DVN/ZU5QTG, Harvard Dataverse, V1
Theoretical expectations regarding communication patterns between legislators and outside agents, such as lobbyists, agency officials or policy experts, often depend on the relationship between legislators' and agents' preferences. However, legislators and non-elected outside agents evaluate the merits of policies using distinct criteria and consid... |
Mar 23, 2024
Leavitt, Thomas; Rivera-Burgos, Viviana, 2024, "Replication Data for: Audit experiments of racial discrimination and the importance of symmetry in exposure to cues", https://doi.org/10.7910/DVN/R3JGWS, Harvard Dataverse, V1
Researchers are often interested in whether discrimination on the basis of racial cues persists above and beyond discrimination on the basis of non-racial attributes that decision-makers — e.g., employers, legislators, etc. — infer from such cues. We show that existing audit experiments may be unable to parse these explanations because of an asymme... |
Rainey, Carlisle, 2024, "Replication Data for: "Estimators for Topic-Sampling Designs"", https://doi.org/10.7910/DVN/YBV9Z8, Harvard Dataverse, V1
When researchers design an experiment, they usually hold potentially relevant features of the experiment constant. We call these details the “topic” of the experiment. For example, researchers studying the impact of party cues on attitudes must inform respondents of the parties’ positions on a particular policy. In doing so, researchers implement j... |
Lal, Apoorva; Lockhart, Mac; Xu, Yiqing; Zu, Ziwen, 2024, "Replication Data for: How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies", https://doi.org/10.7910/DVN/MM5THZ, Harvard Dataverse, V1, UNF:6:CArWSnTqawmggTYJ6nsFeQ== [fileUNF]
Instrumental variable (IV) strategies are widely used in political science to establish causal relationships, but the identifying assumptions required by an IV design are demanding, and assessing their validity remains challenging. In this paper, we replicate 67 articles published in three top political science journals from 2010-2022 and identify... |
