Derives the efficient influence function and doubly robust estimators for the local average treatment effect on the treated in instrumented DiD designs with staggered exposure and covariates.
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\ Sant'Anna, P H C
9 Pith papers cite this work, alongside 6,554 external citations. Polarity classification is still indexing.
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A 1825 storm created a new sea connection in Denmark, producing a 27 percent population increase (elasticity 1.6 to market access) driven by fertility and occupational change toward fishing and manufacturing, with symmetric medieval declines after waterway closure.
Staggered Medicaid doula mandates have no average LBW effect but a marginal ~0.5pp reduction for Black mothers in early-adopting states, with a strong first-stage workforce expansion.
ChatGPT retains 94.8% of information-seeking occasions without outbound referrals and wider access displaces 9.4% of traditional search queries, with losses concentrated on informational and ad-supported destinations.
Extends DiD to non-iid effects, interference, and network dependence with a doubly robust estimator shown consistent, asymptotically normal, and efficient under conditional parallel trends.
Difference-in-differences analysis around ChatGPT release shows commoditization of labor in AI-exposed job categories on Upwork, with declining human capital importance and rising price importance.
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
Migration in Fribourg generates modest but persistent shifts in age structure, school cohorts, and housing that counter population aging.
Emulating stepped-wedge cluster randomized trials in the target trial emulation framework provides a conceptual structure for evaluating health policies with staggered adoption in observational and quasi-experimental studies.
citing papers explorer
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Doubly Robust Instrumented Difference-in-Differences
Derives the efficient influence function and doubly robust estimators for the local average treatment effect on the treated in instrumented DiD designs with staggered exposure and covariates.
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A Perfect Storm: First-Nature Geography and Economic Development
A 1825 storm created a new sea connection in Denmark, producing a 27 percent population increase (elasticity 1.6 to market access) driven by fertility and occupational change toward fishing and manufacturing, with symmetric medieval declines after waterway closure.
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Helping Hands, Healthier Infants: The Effect of Medicaid Doula Coverage Mandates on Birth Outcomes
Staggered Medicaid doula mandates have no average LBW effect but a marginal ~0.5pp reduction for Black mothers in early-adopting states, with a strong first-stage workforce expansion.
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Answering Without Referring: How AI Search Rewrites the Web's Economic Bargain
ChatGPT retains 94.8% of information-seeking occasions without outbound referrals and wider access displaces 9.4% of traditional search queries, with losses concentrated on informational and ad-supported destinations.
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Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
Extends DiD to non-iid effects, interference, and network dependence with a doubly robust estimator shown consistent, asymptotically normal, and efficient under conditional parallel trends.
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Human Capital, AI, and Labor Commoditization
Difference-in-differences analysis around ChatGPT release shows commoditization of labor in AI-exposed job categories on Upwork, with declining human capital importance and rising price importance.
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Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
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Migration-Driven Demographic Changes: effects on local communities in the canton of Fribourg
Migration in Fribourg generates modest but persistent shifts in age structure, school cohorts, and housing that counter population aging.
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Emulating Stepped-Wedge Cluster Randomized Trials to Evaluate Health Policies and Interventions
Emulating stepped-wedge cluster randomized trials in the target trial emulation framework provides a conceptual structure for evaluating health policies with staggered adoption in observational and quasi-experimental studies.