51 to 60 of 69 Results
Epstein, Lee; Ho, Daniel E.; King, Gary; Segal, Jeffrey A., 2009, "Replication data for: The Supreme Court During Crisis: How War Affects Only Nonwar Cases", https://doi.org/10.7910/DVN/OLD7MB, Harvard Dataverse, V4, UNF:3:ZmbzFbfqogNM0Gb6CcV52A== [fileUNF]
Does the U.S. Supreme Court curtail rights and liberties when the nation's security is under threat? In hundreds of articles and books, and with renewed fervor since September 11, 2001, members of the legal community have warred over this question. Yet, not a single large-scale, quantitative study exists on the subject. Using the best data availabl... |
Aug 6, 2014
King, Gary; Alt, James E.; Burns, Nancy; and Laver, Michael, 2008, "Replication data for: A Unified Model of Cabinet Dissolution in Parliamentary Democracies", https://doi.org/10.7910/DVN/CVJPAN, Harvard Dataverse, V4, UNF:3:lfKIeFJKgejkOzXEY1i6lw== [fileUNF]
The literature on cabinet duration is split between two apparently irreconcilable positions. The attributes theorists seek to explain cabinet duration as a fixed function of measured explanatory variables, while the events process theorists model cabinet durations as a product of purely stochastic processes. In this paper we build a unified statist... |
Aug 6, 2014
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... |
Aug 6, 2014
Honaker, James; King, Gary, 2010, "Replication data for: What To Do about Missing Data in Time-Series Cross-Sectional Data", https://doi.org/10.7910/DVN/GGUR0P, Harvard Dataverse, V5, UNF:5:RzZmkys+IaJKkDMAeQBObQ== [fileUNF]
Applications of modern methods for analyzing data with missing values, based primarily on multiple imputation, have in the last half-decade become common in American politics and political behavior. Scholars in these fields have thus increasingly avoided the biases and inefficiencies caused by ad hoc methods like listwise deletion and best guess im... |
King, Gary; Tomz, Michael; and Wittenberg, Jason, 2007, "Replication data for: Making the Most of Statistical Analyses: Improving Interpretation and Presentation", https://doi.org/10.7910/DVN/BDWIC3, Harvard Dataverse, V4, UNF:3:1VaLflZ/LfB+AISX+hBm1w== [fileUNF]
Social Scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research and express the appropriate degree of certainty about these quantities. In this article, we offer an approach, built on t... |
Hopkins, Daniel J.; King, Gary, 2009, "Replication data for: A Method of Automated Nonparametric Content Analysis for Social Science", https://doi.org/10.7910/DVN/NV0SZJ, Harvard Dataverse, V7, UNF:3:xlE5stLgKvpeMvxzlLxzEQ== [fileUNF]
The increasing availability of digitized text presents enormous opportunities for social scientists. Yet hand coding many blogs, speeches, government records, new spapers, or other sources of unstructured text is infeasible. Although computer scientists have methods for automated content analysis, most are optimized to classify individual documents... |
May 26, 2014
Gary King; Orin Rosen; Martin A.Tanner; Alexander F. Wagner, 2009, "Replication data for: Ordinary Economic Voting Behavior in the Extraordinary Election of Adolf Hitler", https://doi.org/10.7910/DVN/OMYW0P, Harvard Dataverse, V8, UNF:3:kqHOLnhzDziIRteYyCfyuQ== [fileUNF]
The enormous Nazi voting literature rarely builds on modern statistical or economic research. By adding these approaches, we find that the most widely accepted existing theories of this era cannot distinguish the Weimar elections from almost any others in any country. Via a retrospective voting account, we show that voters most hurt by the depressi... |
May 26, 2014
King, Gary; Soneji, Samir, 2013, "Replication data for: Social Security: It's Worse Than You Think", https://doi.org/10.7910/DVN/OWWIUW, Harvard Dataverse, V2
This is a replication data file for our article in the New York Times as well as the graphics that accompanied it by Bill Marsh. |
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... |
May 26, 2014
Lazer, David; Kennedy, Ryan; King, Gary; Vespignani, Alessandro, 2014, "Replication data for: The Parable of Google Flu: Traps in Big Data Analysis", https://doi.org/10.7910/DVN/24823, Harvard Dataverse, V2, UNF:5:BJh9WzZQNEeSEpV3EWs+xg== [fileUNF]
Large errors in flu prediction were largely avoidable, which offers lessons for the use of big data. |
