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07/17/2023
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War
Algorithmic and data-driven decisions and recommendations are commonly u...
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06/13/2023
Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods
The United States Census Bureau faces a difficult trade-off between the ...
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06/02/2023
Priming bias versus post-treatment bias in experimental designs
Conditioning on variables affected by treatment can induce post-treatmen...
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05/12/2023
Making Differential Privacy Work for Census Data Users
The U.S. Census Bureau collects and publishes detailed demographic data ...
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05/10/2023
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate
Many networks in political and social research are bipartite, with edges...
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03/05/2023
Estimating Racial Disparities When Race is Not Observed
The estimation of racial disparities in health care, financial services,...
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10/15/2022
Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System
In "Differential Perspectives: Epistemic Disconnects Surrounding the US ...
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10/15/2022
Distributionally Robust Causal Inference with Observational Data
We consider the estimation of average treatment effects in observational...
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08/29/2022
Safe Policy Learning under Regression Discontinuity Designs
The regression discontinuity (RD) design is widely used for program eval...
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08/26/2022
Race and ethnicity data for first, middle, and last names
We provide the largest compiled publicly available dictionaries of first...
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08/15/2022
Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition
Congressional district lines in many U.S. states are drawn by partisan a...
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06/21/2022
Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulations
This article introduces the 50stateSimulations, a collection of simulate...
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06/21/2022
Policy learning with asymmetric utilities
Data-driven decision making plays an important role even in high stakes ...
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05/12/2022
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements
Prediction of an individual's race and ethnicity plays an important role...
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03/28/2022
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
Researchers are increasingly turning to machine learning (ML) algorithms...
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01/20/2022
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
Conjoint analysis is a popular experimental design used to measure multi...
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01/04/2022
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
Estimation of heterogeneous treatment effects is an active area of resea...
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10/26/2021
Measuring and Modeling Neighborhoods
With the availability of granular geographical data, social scientists a...
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09/22/2021
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Algorithmic recommendations and decisions have become ubiquitous in toda...
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08/03/2021
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Inverse probability of treatment weighting (IPTW) is a popular method fo...
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05/29/2021
The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis
The US Census Bureau plans to protect the privacy of 2020 Census respond...
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03/01/2021
Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts
A primary goal of social science research is to understand how latent gr...
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02/23/2021
Estimating Average Treatment Effects with Support Vector Machines
Support vector machine (SVM) is one of the most popular classification a...
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12/04/2020
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
Despite an increasing reliance on fully-automated algorithmic decision m...
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11/16/2020
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
Two-stage randomized experiments are becoming an increasingly popular ex...
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08/13/2020
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans
Random sampling of graph partitions under constraints has become a popul...
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06/17/2020
The Essential Role of Empirical Validation in Legislative Redistricting Simulation
As granular data about elections and voters become available, redistrict...
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05/21/2020
Principal Fairness for Human and Algorithmic Decision-Making
Using the concept of principal stratification from the causal inference ...
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04/13/2020
Keyword Assisted Topic Models
For a long time, many social scientists have conducted content analysis ...
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03/30/2020
Causal Inference with Spatio-temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq
Although many causal processes have spatial and temporal dimensions, the...
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12/02/2019
Large-scale text processing pipeline with Apache Spark
In this paper, we evaluate Apache Spark for a data-intensive machine lea...
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10/15/2019
Discussion of "The Blessings of Multiple Causes" by Wang and Blei
This commentary has two goals. We first critically review the deconfound...
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05/14/2019
Experimental Evaluation of Individualized Treatment Rules
In recent years, the increasing availability of individual-level data an...
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12/20/2018