Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Heterogeneous Treatment Effects"”.
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ESSAYS ON HETEROGENEOUS TREATMENT EFFECTS IN THE LABOR MARKET
… The first two chapters mainly focus on the effects of job displacement on earnings. The first chapter analyzes how the effects of job displacement on earnings vary among natives and immigrants in the United States, while the second chapter studies the distributional effects of job …
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Characterizing heterogeneous treatment effects of couple relationship education : a machine learning approach
… a large body of research indicates that treatment effects of CRE exhibit a great deal of variability depending on the pretreatment conditions and the characteristics of the program attendees (Wadsworth & Markman, 2012). Given that significant federal expenditures have been invested to …
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Essays in econometrics
… on the identification and estimation of causal effects. We consider various empirical strategies that are commonly used in the field of social sciences in general, and in the field of economics in particular. The first chapter considers estimating heterogeneous causal effects in regression …
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Prescriptive analytics in operations problems : a tree ensemble approach
… We propose a semi-parametric model for measuring heterogeneous treatment effects using the concept of orthogonalization in the classification setting, and derive a novel loss function which can be solved using a range of off-the-shelf machine learning methods. Over a wide range of synthetic data …
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Empowering Energy Conservation: Low-Cost Interventions for Commercial and Residential Settings
… learning techniques to measure average and heterogeneous treatment effects, as well as to identify disparities in households with the highest versus lowest reductions. Covering the process from designing to evaluation, these chapters collectively offer a holistic perspective on the …
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Empirical Essays on Causal Effects of Job Training Programs: Evidence From Korea
… score matching approach for selection into treatment, and (2) a principal stratification framework for selection into employment when looking at wages. This chapter finds positive effects on employability (0.026), but negative effects on wages (-8.4%), both of which are statistically …
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Benchmarking Reinforcement Learning and Off Policy Evaluation for Medical Decision Making
… risks, low data availability, short treatment episodes, sparse re[1]wards, partial observations, and heterogeneous treatment effects (HTE). Despite significant interest in developing Dynamic Treatment Regimes (DTRs) for longitudinal patient care scenarios, no standardized benchmark …
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New developments in causal inference using balance optimization subset selection
… extends the BOSS by estimating and decomposing a treatment effect as a combination of heterogeneous treatment effects from a partitioned set using the BOSS. Third, the dissertation generalizes the BOSS framework from a binary treatment setting to a multi-treatment setting. A treatment effect …
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Causal Inference with Survival Outcomes via Orthogonal Statistical Learning
… into confounding adjustment and estimation of heterogeneous treatment effects (HTE). However, there were some gaps regarding survival outcomes. First, overlap-weighted effect estimators based on machine learning nuisance models were not available for such outcomes. Thus, researchers wishing to …
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Information and environmental policy
… the distortion in consumers' perceptions. Using treatment effects as sufficient statistics, I calculate gains in consumer surplus equivalent to 0.5--1 percent of annual water expenditures. Heterogeneous treatment effects suggest increases in outdoor water use. And, in the final essay, I consider …
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Standing on the shoulders of birth intergenerational mobility, inequality, and pro-social preferences
… growth. Understanding the persistence and effects of circumstances of birth is crucial to abating these adverse effects, particularly in the context of rising global inequality. The existing literature is limited in two respects. Firstly, it lacks a comprehensive description of the …
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Probabilistic Time-to-Event Modeling Approaches for Risk Profiling
… (from covariates influencing both the treatment assignment and the outcome) and censoring (informative or non-informative). To account for censoring biases, a proposed flexible and nonparametric probabilistic model is leveraged for event times. Then, we formulate a model-free …
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Language Models as Opinion Models: Techniques and Applications
… tools to forecast persuasion and predict heterogeneous treatment effects (HTEs). Study I — Media tempo and tone. Using 518,000 hours of U.S. talk-radio broadcasts and 26.6 million tweets from elite and mass users, we show that Twitter discourse (i) moves faster at both take-off and …
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Asymptotically robust permutation tests for two-sample goodness-of-fit testing problems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
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Essays in Health Economics and Applied Econometrics
… MRK designs, individuals are assigned different treatments based on whether their values on several observed running variables exceed known thresholds, which aligns with eligibility criteria for numerous healthcare programs (for example, Medicaid eligibility depends on both an income and an asset …
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Essays on health and healthcare economics
… methods for obtaining causal estimates of treatment effects with an application to healthcare settings. In the first chapter I study geographic variation in health care utilization under two different insurance systems: traditional Medicare and employer-provided private insurance. For each …
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Three Essays on Adoption and Impact of Agricultural Technology in Bangladesh
… It employs an instrumental variable and marginal treatment effects approach to estimate the impact of IPM on yield and cost of sweet gourd in Bangladesh. The estimation methods consider both homogeneous and heterogeneous treatment effects. The paper finds that IPM adoption has a 7% - 34% yield …
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The Economics of Public Safety
… periods, the introduction of Craigslist yields heterogeneous treatment effects across groups of locations based on the year of entry. I exploit the semi-parametric differential-timing difference-in-differences method introduced by Callaway and Sant'Anna (2020) to estimate the Craigslist effect. …
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Candidates, the economy and voting behavior
… in the first essay, I examine candidate effects in negative partisanship using 2016 U.S. presidential election data to explore whether and how candidates matter for party loyalty in voting. What does it mean to say that they might or might not? I exploit the largely ignored open-ended …
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Rethinking Machine Learning for Heterogeneous Treatment Effect Estimation
The need to estimate the causal effect that a treatment, policy or other intervention had on an outcome variable is a problem which ubiquitously appears in fields ranging from economics to marketing and medicine. Historically, population average effects have been the main estimand of interest, …