41 to 50 of 69 Results
Aug 20, 2014
Iacus, Stefano M.; King, Gary; Porro, Giuseppe, 2011, "Replication data for: Multivariate Matching Methods That are Monotonic Imbalance Bounding", https://doi.org/10.7910/DVN/OMHQFP, Harvard Dataverse, V6, UNF:5:OnpNwQCslLvU0j0suCIJNg== [fileUNF]
We introduce a new "Monotonic Imbalance Bounding" (MIB) class of matching methods for causal inference with a surprisingly large number of attractive statistical properties. MIB generalizes and extends in several new directions the only existing class, "Equal Percent Bias Reducing" (EPBR), which is designed to satisfy weaker properties and only in... |
King, Gary; Zeng, Langche, 2007, "Replication data for: Detecting Model Dependence in Statistical Inference: A Response", https://doi.org/10.7910/DVN/O2NXPE, Harvard Dataverse, V5, UNF:3:K4/CgnMYDMV6izc5RVOZTA== [fileUNF]
Inferences about counterfactuals are essential for prediction, answering "what if" questions, and estimating causal effects. However, when the counterfactuals posed are too far from the data at hand, conclusions drawn from well-specified statistical analyses become based on speculation and convenient but indefensible model assumptions rather than e... |
Aug 20, 2014
Girosi, Frederico; King, Gary, 2007, "Cause of Death Data", https://doi.org/10.7910/DVN/ZVN8XQ, Harvard Dataverse, V5, UNF:3:9JU+SmVyHgwRhAKclQ85Cg== [fileUNF]
We introduce a new framework for forecasting age-sex-country-cause-specific mortality rates that incorporates considerably more information, and thus has the potential to forecast much better, than any existing approach. Mortality forecasts are used in a wide variety of academic fields, and for global and national health policy making, medical and... |
Aug 20, 2014
King, Gary; Soneji, Samir, 2011, "Replication data for: The Future of Death in America", https://doi.org/10.7910/DVN/IEANXM, Harvard Dataverse, V12, UNF:5:bkO65MmINN1lsM7QjNZlcw== [fileUNF]
Population mortality forecasts are widely used for allocating public health expenditures, setting research priorities, and evaluating the viability of public pensions, private pensions, and health care financing systems. In part because existing methods seem to forecast worse when based on more information, most forecasts are still based on simple... |
Aug 20, 2014
King, Gary, 2008, "Replication data for: On Political Methodology", https://doi.org/10.7910/DVN/TTW7YI, Harvard Dataverse, V4
"Politimetrics" (Gurr 1972), "polimetrics" (Alker 1975), "politometrics" (Hilton 1976), "political arithmetic" (Petty [1672] 1971), "quantitative Political Science (QPS)," "governmetrics," "posopolitics" (Papayanopoulos 1973), "political science statistics (Rai and Blydenburgh 1973), "political statistics" (Rice 1926). These are some of the names t... |
Aug 20, 2014
King, Gary, 2007, "Elections to the United States House of Representatives, 1898-1992", https://doi.org/10.7910/DVN/H5MM1N, Harvard Dataverse, V5, UNF:3:tD8SznMFjKIxWxOqTQaamQ== [fileUNF]
This data collection, designed to facilitate analysis of voting behavior at the district level and the effect of party incumbency on election outcomes, contains election returns for elections to the United States House of Representatives from 1898 to 1992. Votes from each biennial election are tallied by Democratic and Republican candidate and are... |
King, Gary; Zeng, Langche, 2009, "Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response", https://doi.org/10.7910/DVN/VL7QMO, Harvard Dataverse, V5
A response to Sambanis and Michaelides, "A Comment on Diagnostic Tools for Counterfactual Inference", which was a comment on: Gary King and Langche Zeng. 2006. " The Dangers of Extreme Counterfactuals," Political Analysis, 14, 2, Pp. 131-159. In response to the data-based measures of model dependence proposed in King and Zeng (2006), Sambanis and M... |
King, Gary; Zeng, Langche, 2007, "Replication data for: Improving Forecasts of State Failure", https://doi.org/10.7910/DVN/BS4236, Harvard Dataverse, V4, UNF:3:CEsbEgPxbxExfYuh2NWwWQ== [fileUNF]
We offer the first independent scholarly evaluation of the claims, forecasts, and causal inferences of the State Failure Task Force and their efforts to forecast when states will fail. State failure refers to the collapse of the authority of the central government to impose order, as in civil wars, revolutionary wars, genocides, politicides, and ad... |
Aug 6, 2014
Hopkins, Daniel; King, Gary, 2010, "Replication data for: Improving Anchoring Vignettes: Designing Surveys to Correct Interpersonal Incomparability", https://doi.org/10.7910/DVN/UU5EUI, Harvard Dataverse, V5, UNF:5:olK6huE6neanzwAXGnSclA== [fileUNF]
We report the results of several randomized survey experiments designed to evaluate two intended improvements to anchoring vignettes, an increasingly common technique used to achieve interpersonal comparability in survey research. This technique asks for respondent self-assessments followed by assessments of hypothetical people described in vignett... |
Aug 6, 2014
Gelman, Andrew; King, Gary, 2007, "Replication data for: Why Are American Presidential Election Campaign Polls So Variable When Votes are So Predictable?", https://doi.org/10.7910/DVN/I7GIKD, Harvard Dataverse, V4
As most political scientists know, the outcome of the U.S. Presidential election can be predicted within a few percentage points (in the popular vote), based on information available months before the election. Thus, the general election campaign for president seems irrelevant to the outcome (except in very close elections), despite all the media c... |
