Browsing by Subject "Matching"
Now showing items 1-4 of 4
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An Investigation into the Bias and Variance of Almost Matching Exactly Methods
(2021)The development of interpretable causal estimation methods is a fundamental problem for high-stakes decision settings in which results must be explainable. Matching methods are highly explainable, but often lack the accuracy ... -
Interpretable Almost-Matching Exactly with Instrumental Variables
(2019)We aim to create the highest possible quality of treatment-control matches for categorical data in the potential outcomes framework. The method proposed in this work aims to match units on a weighted Hamming distance, taking ... -
Record Linkage Methods with Applications to Causal Inference and Election Voting Data
(2019)Probabilistic record linkage enables researchers and analysts to combine data from multiple data sources to conduct statistical analysis. This analysis may be to answer causal questions, to predict future outcomes, or to ... -
Stochastic Optimization in Market Design and Incentive Management Problems
(2020)This dissertation considers practical operational settings, in which a decision maker needs to either coordinate preferences or to align incentives among different parties. We formulate these issues into stochastic optimization ...
