51 to 60 of 79 Results
Sep 22, 2019
Imai, Kosuke; Jiang, Zhichao, 2019, "Replication Data for: Identification and Sensitivity Analysis of Contagion Effects in Randomized Placebo-Controlled Trials", https://doi.org/10.7910/DVN/UMG39H, Harvard Dataverse, V1, UNF:6:dUs0E1moTTq5g428q4ZNmQ== [fileUNF]
This dataverse contains the replication archive for Imai, Kosuke and Jiang, Zhichao. ``Identification and Sensitivity Analysis of Contagion Effects in Randomized Placebo-Controlled Trials" Journal of the Royal Statistical Society, Series A (Statistics in Society), Forthcoming |
Mar 31, 2019 - Political Analysis Dataverse
Blair, Graeme; Chou, Winston; Imai, Kosuke, 2019, "Replication Data for: List Experiments with Measurement Error", https://doi.org/10.7910/DVN/L3GWNP, Harvard Dataverse, V1
We provide new tools for diagnosing and mitigating measurement error in list experiments. First, we demonstrate that the nonlinear least squares regression (NLS) estimator proposed in Imai (2011) is robust to nonstrategic measurement error. Second, we offer a general model misspecification test to gauge the divergence of the ML and NLS estimates. T... |
Kim, In Song; Kosuke Imai, 2019, "Replication Data for: When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?", https://doi.org/10.7910/DVN/YUM3K8, Harvard Dataverse, V1, UNF:6:xiKBfdYXpLCslGVM+Lw+jw== [fileUNF]
Many researchers use unit fixed effects regression models as their default methods for causal inference with longitudinal data. We show that the ability of these models to adjust for unobserved time-invariant confounders comes at the expense of dynamic causal relationships, which are permitted under an alternative selection-on-observables approach.... |
Jan 7, 2019 - The Journal of Politics Dataverse
Imai, Kosuke; King, Gary; Velasco Rivera, Carlos, 2019, "Replication Data for: "Do Nonpartisan Programmatic Policies Generate Partisan Electoral Effects? Evidence from Two Large Scale Experiments"", https://doi.org/10.7910/DVN/70SNIS, Harvard Dataverse, V1
These files replicate all the results in Kosuke Imai, Gary King, and Carlos Velasco Rivera "Do Nonpartisan Programmatic Policies Have Partisan Electoral Effects? Evidence from Two Large Scale Experiments." To replicate all the analyses reported in the main manuscript and supplementary appendix, simply follow the next steps: 0. create a folder in yo... |
Enamorado, Ted; Fifield, Benjamin; Imai, Kosuke, 2019, "Replication Data for: Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records", https://doi.org/10.7910/DVN/YGUHTD, Harvard Dataverse, V1
Abstract: Since most social science research relies upon multiple data sources, merging data sets is an essential part of researchers' workflow. Unfortunately, a unique identifier that unambiguously links records is often unavailable, and data may contain missing and inaccurate information. These problems are severe especially when merging large-sc... |
Oct 2, 2017 - Harvard Dataverse
Fong, Christian; Hazlett, Chad; Imai, Kosuke, 2017, "Replication Data for: Covariate Balancing Propensity Score for a Continuous Treatment", https://doi.org/10.7910/DVN/AIF4PI, Harvard Dataverse, V1, UNF:6:GVSD9ZtLl49/B+BDsZQFhw== [fileUNF]
This repository contains the files necessary to replicate Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political Advertisements |
Chou, Winston; Imai, Kosuke; Rosenfeld, Bryn, 2017, "Replication Data for: Sensitive Survey Questions with Auxiliary Information", https://doi.org/10.7910/DVN/4FEJZ3, Harvard Dataverse, V1, UNF:6:CIIjlXZ0mYtXxUd5arW7Vw== [fileUNF]
Scholars increasingly rely on indirect questioning techniques to reduce social desirability bias and item nonresponse for sensitive survey questions. The major drawback of these approaches, however, is their inefficiency relative to direct questioning. We show how to improve the statistical analysis of the list experiment, randomized response techn... |
Sep 15, 2016 - Harvard Dataverse
Hirose, Kentaro; Imai, Kosuke; Lyall, Jason, 2016, "Replication Data for: Can civilian attitudes predict insurgent violence?", https://doi.org/10.7910/DVN/DBSEQC, Harvard Dataverse, V2, UNF:6:EmFt6El1ap9gQGBXk0DdZA== [fileUNF]
Are civilian attitudes a useful predictor of patterns of violence in civil wars? A prominent debate has emerged among scholars and practitioners about the importance of winning civilian `hearts and minds' for influencing their wartime behavior. We argue that such efforts may have a dark side: insurgents can use pro-counterinsurgent attitudes as cue... |
Imai, Kosuke; Lo, James; Olmsted, Jonathan, 2016, "Replication Data for: Fast Estimation of Ideal Points with Massive Data", https://doi.org/10.7910/DVN/HAU0EX, Harvard Dataverse, V1, UNF:6:zBBNZFe2ugnIxvc155xfXw== [fileUNF]
For fast estimation of ideal points using variational inference. Reproduces all figures featured in the conditionally accepted article "Fast Estimation of Ideal Points with Massive Data", in the American Political Science Review |
Mar 3, 2016 - Brandon de la Cuesta Dataverse
de la Cuesta, Brandon; Imai, Kosuke, 2016, "Replication Data for: Misunderstandings about the Regression Discontinuity Design in Close Elections Dataverse", https://doi.org/10.7910/DVN/HWH5YN, Harvard Dataverse, V2, UNF:6:qFUr1DEPXQZzo2yLcA3yIg== [fileUNF]
All files needed for replication of results in de la Cuesta and Imai (2016). Replication directions included in the readme.txt file. |
