Gary King is the Albert J. Weatherhead III University Professor at Harvard University -- one of 25 with Harvard's most distinguished faculty title -- and Director of the Institute for Quantitative Social Science. King develops and applies empirical methods in many areas of social science, focusing on innovations that span the range from statistical theory to practical application.

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21 to 30 of 69 Results
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.", https://doi.org/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; more sophisticated measurement error model specifications and estimatio...
Nov 16, 2014
King, Gary; Schneer, Benjamin, 2014, "Analysis of the Arizona Independent Redistricting Commission Congressional and Legislative District Maps", https://doi.org/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, determine the identification and electability of the minority groups' candida...
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", https://doi.org/10.7910/DVN/NMMYYW, 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 desirable statistical properties of CEM, and then propose a variety of us...
Sep 2, 2014
Gelman, Andrew; King, Gary, 2007, "Replication data for: Enhancing Democracy Through Legislative Redistricting", https://doi.org/10.7910/DVN/QQ1AGU, Harvard Dataverse, V6, UNF:3:ZXahi7PBFxLRb46sVKOAuQ== [fileUNF]
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 redistricting reduces electoral responsiveness by protecting incumbents, oth...
Aug 20, 2014
Gakidou, Emmanuela; King, Gary, 2007, "Replication data for: Death by Survey: Estimating Adult Mortality without Selection Bias from Sibling Survival Data", https://doi.org/10.7910/DVN/TFPPA2, Harvard Dataverse, V4
The widely used methods for estimating adult mortality rates from sample survey responses about the survival of siblings, parents, spouses, and others depend crucially on an assumption that we demonstrate does not hold in real data. We show that when this assumption is violated so that the mortality rate varies with sibship size mortality estimates...
Aug 20, 2014
Beck, Nathaniel; King, Gary; Zeng, Langche, 2007, "Replication data for: Improving Quantitative Studies of International Conflict: A Conjecture", https://doi.org/10.7910/DVN/ZGDYNQ, Harvard Dataverse, V4, UNF:3:rYRDzT8dCJ/BR7V9u8fObA== [fileUNF]
We address a well-known but infrequently discussed problem in the quantitative study of international conflict: Despite immense data collections, prestigious journals, and sophisticated analyses, empirical findings in the literature on international conflict are often unsatisfying. Many statistical results change from article to article and specifi...
Aug 20, 2014
King, Gary; Zeng, Langche, 2007, "Replication data for: Explaining Rare Events in International Relations", https://doi.org/10.7910/DVN/RNSU7V, Harvard Dataverse, V4, UNF:3:vyct3c8fMCdWOdp03NUhaA== [fileUNF]
Some of the most important phenomena in international conflict are coded s "rare events data," binary dependent variables with dozens to thousands of times fewer events, such as wars, coups, etc., than "nonevents". Unfortunately, rare events data are difficult to explain and predict, a problem that seems to have at least two sources. First, and mos...
Aug 20, 2014
King, Gary; Laver, Michael, 2007, "Replication data for: On Party Platforms, Mandates, and Government Spending", https://doi.org/10.7910/DVN/KGMQBX, Harvard Dataverse, V4, UNF:3:cwNXuRQ/6Lp72obLkttmGg== [fileUNF]
In their 1990 Review article, Ian Budge and Richard Hofferbert analyzed the relationship between party platform emphases, control of the White House, and national government spending priorities, reporting strong evidence of a "party mandate" connection between them. Gary King and Michael Laver successfully replicate the original analysis, critique...
Aug 20, 2014
King, Gary; Zeng, Langche, 2007, "Replication data for: The Dangers of Extreme Counterfactuals", https://doi.org/10.7910/DVN/MJ1YCL, Harvard Dataverse, V5, UNF:3:ytKKNjK+yR8Pq3H0RcV6eg== [fileUNF]
We address the problem that occurs when inferences about counterfactuals -- predictions, "what if" questions, and causal effects -- are attempted far from the available data. The danger of these extreme counterfactuals is that substantive conclusions drawn from statistical models that fit the data well turn out to be based largely on speculation hi...
Aug 20, 2014
King, Gary, 2007, "Replication data for: Constituency Service and Incumbency Advantage", https://doi.org/10.7910/DVN/NKCJK6, Harvard Dataverse, V4, UNF:3:IE4ZSAs8ZzUK+fRXNbVvGw== [fileUNF]
This Note addresses the long-standing discrepancy between scholarly support for the effect of constituency service on incumbency advantage and a large body of contradictory empirical evidence. I show first that many of the methodological problems noticed in past research reduce to a single methodological problem that is readily resolved. The core o...
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