61 to 70 of 80 Results
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. |
Jan 10, 2016 - Political Analysis Dataverse
Khanna, Kabir; Imai, Kosuke, 2016, "Replication Data for: Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records", https://doi.org/10.7910/DVN/SVY5VF, Harvard Dataverse, V1
Replication files for Imai & Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records", including replication data, codebook, and R scripts to produce all analyses in the paper. Only academic use permitted. |
Blair, Graeme; Imai, Kosuke; Zhou, Yang-Yang, 2015, "Replication Data for: Design and Analysis of the Randomized Response Technique", https://doi.org/10.7910/DVN/AIO5BR, Harvard Dataverse, V1
About a half century ago, Warner (1965) proposed the randomized response method as a survey technique to reduce potential bias due to non-response and social desirability when asking questions about sensitive behaviors and beliefs. This method asks respondents to use a randomization device, such as a coin flip, whose outcome is unobserved by the in... |
Mar 5, 2015 - The Journal of Politics Dataverse
Lyall, Jason; Shiraito, Yuki; Imai, Kosuke, 2015, "Coethnic Bias and Wartime Informing", https://doi.org/10.7910/DVN/29314, Harvard Dataverse, V1
Information about insurgent groups is a central resource in civil wars: counterinsurgets seek it, insurgents safeguard it, and civilians often trade it. Yet despite its essential role in civil war dynamics, the act of informing is still poorly understood, due mostly to the classified nature of informant "tips" and the absence of reliable data on ci... |
Graeme Blair; Kosuke Imai, 2011, "Replication data for: Statistical Analysis of List Experiments", https://doi.org/10.7910/DVN/7WEJ09, Harvard Dataverse, V2
The validity of empirical research often relies upon the accuracy of self-reported behavior and beliefs. Yet, eliciting truthful answers in surveys is challenging especially when studying sensitive issues such as racial prejudice, corruption, and support for militant groups. List experiments have attracted much attention recently as a potential sol... |
Sep 30, 2014 - Bethany Park Dataverse
Imai, Kosuke; Park, Bethany; Greene, Kenneth F., 2014, "Replication data for: Using the Predicted Responses from List Experiments as Explanatory Variables in Regression Models", https://doi.org/10.7910/DVN/27083, Harvard Dataverse, V6
The list experiment, also known as the item count technique, is becoming increasingly popular as a survey methodology for eliciting truthful responses to sensitive questions. Recently, multivariate regression techniques have been developed to predict the unobserved response to sensitive questions using respondent characteristics. Nevertheless, no m... |
Ho, Daniel E.; Imai, Kosuke; King, Gary; Stuart, Elizabeth A., 2007, "Replication data for: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference", https://doi.org/10.7910/DVN/RWUY8G, Harvard Dataverse, V5, UNF:3:QV0mYCd8eV+mJgWDnYct5g== [fileUNF]
Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure... |
Aug 6, 2014 - Gary King Dataverse
Imai, Kosuke; King, Gary; Nall, Clayton, 2009, "Replication data for: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation", https://doi.org/10.7910/DVN/9RJGWB, Harvard Dataverse, V6, UNF:3:jeUN9XODtYUp2iUbe8gWZQ== [fileUNF]
A basic feature of many field experiments is that investigators are only able to randomize clusters of individuals — such as households, communities, firms, medical practices, schools, or classrooms — even when the individual is the unit of interest. To recoup some of the resulting efficiency loss, many studies pair similar clusters and randomize t... |
Gary King; Emmanuela Gakidou; Kosuke Imai; Jason Lakin; Ryan T. Moore; Clayton Nall; Nirmala Ravishankar; Manett Vargas; Martha María Téllez-Rojo; Juan Eugenio Hernández-Ávila; Mauricio Hernández-Ávila; Hector Hernández Llamas, 2009, "Replication data for: Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme", https://doi.org/10.7910/DVN/P6NC0M, Harvard Dataverse, V6, UNF:3:jeUN9XODtYUp2iUbe8gWZQ== [fileUNF]
Background: We assessed aspects of Seguro Popular, a programme aimed to deliver health insurance, regular and preventive medical care, medicines, and health facilities to 50 million uninsured Mexicans. Methods: We randomly assigned treatment within 74 matched pairs of health clusters–-i.e., health facility catchment areas–-representing 118,569 hous... |
Jan 1, 2014 - Graeme Blair Dataverse
Lyall, Jason; Blair, Graeme; Imai, Kosuke, 2013, "Replication data for: Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan", https://doi.org/10.7910/DVN/CXNXEZ, Harvard Dataverse, V2
How are civilian attitudes toward combatants affected by wartime victimization? Are these effects conditional on which combatant inflicted the harm? We investigate the determinants of wartime civilian attitudes towards combatants using a survey experiment across 204 villages in five Pashtun-dominated provinces of Afghanistan—the heart of the Taliba... |
