Measuring Changes in Disparity Gaps: An Application to Health Insurance
We propose a method for reporting how program evaluations reduce gaps between groups, such as the gender or Black-white gap. We first show that the reduction in disparities between groups can be written as the difference in conditional average treatment effects (CATE) for each group. Then, using a Kitagawa-Oaxaca-Blinder-style decomposition, we highlight how these CATE can be decomposed into unexplained differences in CATE in other observables versus differences in composition across other observables (e.g. the "endowment"). Finally, we apply this approach to study the impact of Medicare on American's access to health insurance.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Pareto Optimality in No-Harm Fairness
Common fairness definitions in machine learning focus on balancing various notions of disparity and utility. In this work we study fairness in the context of risk disparity among sub-populations. We introduce the framewo…
FairnessMind the Gaps: Auditing and Reducing Group Inequity in Large-Scale Mobility Prediction
Next location prediction underpins a growing number of mobility, retail, and public-health applications, yet its societal impacts remain largely unexplored. In this paper, we audit state-of-the-art mobility prediction mo…
Estimating Structural Disparities for Face Models
In machine learning, disparity metrics are often defined by measuring the difference in the performance or outcome of a model, across different sub-populations (groups) of datapoints. Thus, the inputs to disparity quanti…
AttributeFace RecognitionInertial Safety from Structured Light
We present inertial safety maps (ISM), a novel scene representation designed for fast detection of obstacles in scenarios involving camera or scene motion, such as robot navigation and human-robot interaction. ISM is a m…
Robot NavigationThe changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomography
Osteoporosis and fragility fractures have emerged as major public health concerns in an aging population. However, measuring age-related changes in bone density using dual-energy X-ray absorptiometry has limited personal…
Computed Tomography (CT)