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.

You can see the related collections for Dr. King here:
Social Science One
Gov2001
Readme2 Replication
ROAD
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RUN_ALL.R
Dec 19, 2023 - Replication Data for: Differentially Private Survey Research
R Syntax - 676 B - MD5: 778582e16a775fee2356fec2b2167820
run_simulations_k.R
Dec 19, 2023 - Replication Data for: Differentially Private Survey Research
R Syntax - 3.0 KB - MD5: 7e50c984ffb859bab5b27e55db4dd657
run_simulations.R
Dec 19, 2023 - Replication Data for: Differentially Private Survey Research
R Syntax - 2.0 KB - MD5: f29a08c6be0cfb1a3fc3138dce1f7c3c
simulation_functions.R
Dec 19, 2023 - Replication Data for: Differentially Private Survey Research
R Syntax - 2.6 KB - MD5: 69cd3aaf53f8c81dc6ab70f360dac2e0
util_functions.R
Dec 19, 2023 - Replication Data for: Differentially Private Survey Research
R Syntax - 2.2 KB - MD5: f22711fccd184cc8746d12ee95c13994
Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
Sep 4, 2021 - Political Analysis Dataverse
Evans, Georgina; King, Gary, 2021, "Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset", https://doi.org/10.7910/DVN/UDFZJD, Harvard Dataverse, V1, UNF:6:qVAL2iA9dusDRaLhZ1X4xg== [fileUNF]
We offer methods to analyze the “differentially private” Facebook URLs Dataset which, at over 17 trillion cell values, is one of the largest social science research datasets ever constructed. The version of differential privacy used in the URLs dataset has specially calibrated random noise added, which provides mathematical guarantees for the priva...
application.R
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Syntax - 3.8 KB - MD5: 6a8121023e8a9d2f4a57d1b58a80552d
diagnostics.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: cf08be23b5c8c9148582527d2d50222a
distributions.R
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
R Syntax - 2.2 KB - MD5: f388f762fc919ddab99980364ed28d91
figure1.pdf
figure1.pdf
Sep 4, 2021 - Replication Data for: Statistically Valid Inferences from Differentially Private Data Releases, with Application to the Facebook URLs Dataset
Adobe PDF - 6.2 KB - MD5: ce7c2a7e3adb21257c7c006c25dea2dc
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