Gary King is the Weatherhead University Professor at Harvard University. He also serves as Director of the Institute for Quantitative Social Science. He and his research group develop and apply empirical methods in many areas of social science research.

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 ...

Gary King. 2020. “ So You're a Grad Student Now? Maybe You Should Do This.” In The SAGE Handbook of Research Methods in Political Science and International Relations, edited by Jr. Robert J. Franzese and Luigi Curini, Pp. 1--4. London: Sage Publications. Abstract

This is a set of easy-to-use Stata macros that implement the techniques described in Gary King, Michael Tomz, and Jason Wittenberg's "Making the Most of Statistical Analyses: Improving Interpretation and Presentation".

Gary King and Michael Laver successfully replicate the original analysis, critique the interpretation of the causal effects, and present a reanalysis showing that platforms have small or nonexistent effects on spending.

This is a set of easy-to-use Stata macros that implement the techniques described in Gary King, Michael Tomz, and Jason Wittenberg's "Making the Most of Statistical Analyses: Improving Interpretation and Presentation".

Featuring a new preface by Robert O. Keohane and Gary King, this edition makes an influential work available to new generations of qualitative researchers in the social sciences. Replication data at the Harvard Dataverse: https://doi.org/10.7910/DVN/YHZG5M.

Gary King and Will Lowe. 2003. “ An Automated Information Extraction Tool For International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design .” International Organization, 57, Pp. 617-642.

Gary King, Jennifer Pan, and Margaret E. Roberts. 2013. “ How Censorship in China Allows Government Criticism but Silences Collective Expression .” American Political Science Review, 107, 2 (May), Pp. 1-18.

The accuracy of U.S. Social Security Administration (SSA) demographic and financial forecasts is crucial for the solvency of its Trust Funds, government programs comprising greater than 50% of all federal government expenditures, industry decision making, and the evidence base of many scholarly articles.