1 to 10 of 10 Results
Blair, Graeme; Coppock, Alexander; Humphreys, Macartan, 2022, "Research Design in the Social Sciences", https://doi.org/10.7910/DVN/HYVPO5, Harvard Dataverse, V8, UNF:6:B3f6rtIwD8gIMqBI/A0C0Q== [fileUNF]
This dataverse collects code and data materials for Research Design in the Social Sciences. |
Jan 26, 2021 - American Political Science Review Dataverse
Rudkin, Aaron; Christensen, Darin; Blair, Graeme, 2021, "Replication Data for: Do Commodity Price Shocks Cause Armed Conflict? A Meta-Analysis of Natural Experiments", https://doi.org/10.7910/DVN/BGCVOW, Harvard Dataverse, V1
Scholars of the resource curse argue that reliance on primary commodities destabilizes governments: price fluctuations generate windfalls or periods of austerity that provoke or intensify civil conflict. Over 350 quantitative studies test this claim, but prominent results point in different directions, making it difficult to discern which results r... |
Aug 3, 2020 - American Political Science Review Dataverse
Blair, Graeme; Coppock, Alexander; Moor, Margaret, 2020, "Replication Data for: When to Worry About Sensitivity Bias: A Social Reference Theory and Evidence from 30 Years of List Experiments", https://doi.org/10.7910/DVN/YUXHZT, Harvard Dataverse, V1
Eliciting honest answers to sensitive questions is frustrated if subjects withhold the truth for fear that others will judge or punish them. The resulting bias is commonly referred to as social desirability bias, a subset of what we label sensitivity bias. We make three contributions. First, we propose a social reference theory of sensitivity bias... |
May 31, 2019 - American Political Science Review Dataverse
Blair, Graeme; Cooper, Jasper; Coppock, Alexander; Humphreys, Macartan, 2019, "Replication Data for: Declaring and Diagnosing Research Designs", https://doi.org/10.7910/DVN/XYT1VB, Harvard Dataverse, V1
Researchers need to select high-quality research designs and communicate those designs clearly to readers. Both tasks are difficult. We provide a framework for formally "declaring" the analytically relevant features of a research design in a demonstrably complete manner, with applications to qualitative, quantitative, and mixed methods research. Th... |
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... |
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... |
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... |
Graeme Blair; C. Christine Fair; Neil Malhotra; Jacob N. Shapiro, 2012, "Replication data for: Poverty and Support for Militant Politics: Evidence from Pakistan", https://doi.org/10.7910/DVN/OIHHPE, Harvard Dataverse, V3
Policy debates on strategies to end extremist violence frequently cite poverty as a root cause of support for the perpetrating groups. There is little evidence to support this contention, particularly in the Pakistani case. Pakistan’s urban poor are more exposed to the negative externalities of militant violence, and may in fact be less supportive... |
Jan 1, 2014
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... |
Sep 6, 2013
Blair, Graeme; Imai, Kosuke; Lyall, Jason, 2013, "Replication data for: Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan", https://doi.org/10.7910/DVN/EWG77Q, Harvard Dataverse, V2
List and endorsement experiments are becoming increasingly popular among social scientists as indirect survey techniques for sensitive questions. When studying issues such as racial prejudice and support for militant groups, these survey methodologies may improve the validity of measurements by reducing non-response and social desirability biases.... |
