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1 to 10 of 47 Results
Dec 22, 2016
King, Gary; Pan, Jennifer; Roberts, Molley, 2013, "Replication data for: How Censorship in China Allows Government Criticism but Silences Collective Expression", doi:10.7910/DVN1/22691, Harvard Dataverse, V4
We offer the first large scale, multiple source analysis of the outcome of what may be the most extensive effort to selectively censor human expression ever implemented. To do this, we have devised a system to locate, download, and analyze the content of millions of social media...
Dec 2, 2015
King, Gary; Roberts, Margaret, 2014, "Replication data for: How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It", doi:10.7910/DVN/26935, Harvard Dataverse, V7, UNF:5:Bc1yVsbYLpjnS0Bx6FDnNA==
"Robust standard errors" are used in a vast array of scholarship to correct standard errors for model misspecification. However, when misspecification is bad enough to make classical and robust standard errors diverge, assuming that it is nevertheless not so bad as to bias everyt...
May 22, 2015
King, Gary; Pan, Jennifer; Roberts, Margaret, E., 2014, "Replication data for: Reverse Engineering Chinese Censorship: Randomized Experimentation and Participant Observation", doi:10.7910/DVN/26212, Harvard Dataverse, V5, UNF:5:K/LGmB0vjskGYBobxbT+8g==
Chinese government censorship of social media constitutes the largest coordinated selective suppression of human communication in recorded history. Although existing research on the subject has revealed a great deal, it is based on passive, observational methods, with well known...
May 8, 2015
Kashin, Konstantin; King, Gary; Soneji, Samir, 2015, "Replication data for: Systematic Bias and Nontransparency in US Social Security Administration Forecasts", doi:10.7910/DVN/28122, Harvard Dataverse, V1, UNF:5:1oerGFXQ0Bu9bcMFU5/t2A==
We offer an evaluation of the Social Security Administration demographic and financial forecasts used to assess the long-term solvency of the Social Security Trust Funds. This same forecasting methodology is also used in evaluating policy proposals put forward by Congress to modi...
May 8, 2015
Kashin, Konstantin; King, Gary; Soneji, Samir, 2015, "Replication data for: Explaining Systematic Bias and Nontransparency in US Social Security Administration Forecasts", doi:10.7910/DVN/28323, Harvard Dataverse, V1, UNF:6:967llFHgiywsHWWp1cVg9A==
The accuracy of U.S. Social Security Administration (SSA) demographic and financial forecasts is crucial for the solvency of its Trust Funds, other government programs, industry decision making, and the evidence base of many scholarly articles. Because SSA makes public little rep...
Mar 23, 2015
Blackwell, Matthew; Honaker, James; King, Gary, 2015, "Replication data for: A Unified Approach To Measurement Error And Missing Data: Details And Extensions.", doi:10.7910/DVN/29610, Harvard Dataverse, V1
We extend a unified and easy-to-use approach to measurement error and missing data. Blackwell, Honaker, and King (2014a) gives an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details; m...
Mar 23, 2015
Blackwell, Matthew; Honaker, James; King, Gary, 2015, "Replication data for: A Unified Approach To Measurement Error And Missing Data: Overview", doi:10.7910/DVN/29606, Harvard Dataverse, V1, UNF:5:n/rveBXUX+nOxE6Z5xsWNg==
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been wi...
Nov 16, 2014
King, Gary; Schneer, Benjamin, 2014, "Analysis of the Arizona Independent Redistricting Commission Congressional and Legislative District Maps", doi:10.7910/DVN/27453, Harvard Dataverse, V2
We have been retained by the Arizona Independent Redistricting Commission to analyze data from the congressional district maps drawn for the 2011 —2012 redistricting cycle and approved by the Commission. In this report, we estimate the extent of racially polarized voting, determi...
Oct 2, 2014 - Political Analysis Dataverse
Iacus, Stefano M.; King, Gary; Porro, Giuseppe, 2011, "Replication data for: Causal Inference Without Balance Checking: Coarsened Exact Matching", hdl:1902.1/15601, Harvard Dataverse, V5
We discuss a method for improving causal inferences called "Coarsened Exact Matching'' (CEM), and the new "Monotonic Imbalance Bounding'' (MIB) class of matching methods from which CEM is derived. We summarize what is known about CEM and MIB, derive and illustrate several new des...
Sep 2, 2014
Gelman, Andrew; King, Gary, 2007, "Replication data for: Enhancing Democracy Through Legislative Redistricting", hdl:1902.1/BNCOWNVERH, Harvard Dataverse, V6, UNF:3:ZXahi7PBFxLRb46sVKOAuQ==
We demonstrate the surprising benefits of legislative redistricting (including partisan gerrymandering) for American representative democracy. In so doing, our analysis resolves two long-standing controversies in American politics. First, whereas some scholars believe that redist...
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