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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Social Science One
Gov2001
Readme2 Replication
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RUN_ALL.R
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Syntax - 1007 B - MD5: a0279e739e6949ac39f65ba804efccdc
simulation_functions.R
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Syntax - 4.3 KB - MD5: 3521715c48a8e9df70bd4fa373f86d26
time_test_analytical.Rdata
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Data - 305 B - MD5: df284390bb9f3e68fd9e00f301afce57
urls_data_model.R
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Syntax - 469 B - MD5: fc96759510e377b02f6c3bf28bfba43d
urls_data_query.py
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
Python Source Code - 680 B - MD5: d9495b7c70e8151d759b6300f8e0b5b8
variance_time.R
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Syntax - 1.5 KB - MD5: 9e927793a807c74ce534ae68e154ca8d
Replication Data for: Ecological Regression with Partial Identification
Replication Data for: Ecological Regression with Partial Identification
Jul 14, 2021
Jiang, Wenxin; King, Gary; Schmaltz, Allen; Tanner, Martin A., 2018, "Replication Data for: Ecological Regression with Partial Identification", https://doi.org/10.7910/DVN/8TB7GO, Harvard Dataverse, V3
NOTE: This is a pre-publication release. (Version 0.1.) This repository includes details for replicating the results in: Wenxin Jiang, Gary King, Allen Schmaltz, and Martin A. Tanner. 2018. "Ecological Regression with Partial Identification". (under review)
Replication Data for: An Improved Method of Automated Nonparametric Content Analysis for Social Science
Jul 11, 2021 - Political Analysis Dataverse
Jerzak, Connor; King, Gary; Strezhnev, Anton, 2021, "Replication Data for: An Improved Method of Automated Nonparametric Content Analysis for Social Science", https://doi.org/10.7910/DVN/AVNZR6, Harvard Dataverse, V1
Some scholars build models to classify documents into chosen categories. Others, especially social scientists who tend to focus on population characteristics, instead usually estimate the proportion of documents in each category -- using either parametric "classify-and-count" methods or "direct" nonparametric estimation of proportions without indiv...
capsule-03f6dcc8-b7c8-4a59-97c8-7e2914d2543d.zip
Jul 11, 2021 - Replication Data for: An Improved Method of Automated Nonparametric Content Analysis for Social Science
ZIP Archive - 802.1 MB - MD5: 138d8a50ae534b148df0cf17534a691d
results-03f6dcc8-b7c8-4a59-97c8-7e2914d2543d.zip
Jul 11, 2021 - Replication Data for: An Improved Method of Automated Nonparametric Content Analysis for Social Science
ZIP Archive - 3.7 MB - MD5: 0e32218b2d3a0d76e6e9f69b2089d50e
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