跳到正文
收录说明
收录范围
保留计量方法研究、相关统计基础,以及实质涉及计量方法的应用、教程、比较和综述。书评、刊务及明确无关内容不公开;身份或相关性证据不足的记录保留待核,补充可靠材料后可重新判断。
预印本来自 arXiv 计量经济学及相关统计、金融分类和主题检索。主题检索从 2021 年起回补;关注作者追溯更早年份,部分历史文献按已核验编号补录。收录不表示通过同行评审,仍可能遗漏。
本库首次提交范围:2004-06-23 — 2026-10-14。
阅读范围
默认显示本库全部预印本。可选“优先阅读”:至少一位作者同时满足有可核验的本站覆盖期刊正式发表记录,且 OpenAlex 总引用超过 1,000 次。按同一作者身份匹配,两项缺一不可。此筛选提供阅读线索,不作为论文质量判断。
日期与排序
默认按最近修订排序;年份和日期筛选使用首次提交时间。同一 arXiv 编号的修订会合并。仅有月份或年份时,日期区间相交也会纳入。

日期精度:到日 5 篇 · 到月 0 篇 · 到年 0 篇

分类与引用
领域和方法依据题名、摘要初步分类,可人工修正;分类不代表论文质量。引用数采用 OpenAlex 单条关联记录,不合计版本。
更新与 AI 解读
正常题录、可靠摘要与引用同步继续;日、周、月简报按核实的发表与修订日期汇总,历史补录保留在文献库。AI 解读依据可靠摘要或已核实原文片段,已有解读保留供阅读参考;缺少可靠材料的条目保持待解读,浏览页面不会触发生成。
5 篇论文
导出

Fair Policy Learning under Bipartite Network Interference: Learning Fair and Cost-Effective Environmental Policies

二部网络干扰下的公平政策学习:公平且具成本效益的环境政策

Numerous studies have shown the harmful effects of airborne pollutants on human health. Vulnerable groups and communities often bear a disproportionately larger health burden due to exposure to airborne pollutants. Thus, there is a need to design policies that effectively reduce the public health burdens while ensuring cost-effective policy interventions. Designing policies that optimally benefit the population while ensuring equity between groups under cost constraints is a…

AI 解读阅读原文 ↗BibTeX ↓

Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data

面板数据准实验因果推断中高斯过程建模的实践考量

Estimating causal effects in quasi-experiments with spatio-temporal panel data often requires adjusting for unmeasured confounding that varies across space and time. Gaussian Processes (GPs) offer a flexible, nonparametric modeling approach that can account for such complex dependencies through carefully chosen covariance kernels. In this paper, we provide a practical and interpretable framework for applying GPs to causal inference in panel data settings. We demonstrate how…

AI 解读阅读原文 ↗BibTeX ↓

Causal exposure-response curve estimation with surrogate confounders: a study of air pollution and children's health in Medicaid claims data

利用混杂因素替代变量估计因果暴露反应曲线:空气污染与儿童健康

In this paper, we undertake a case study to estimate a causal exposure-response function (ERF) for long-term exposure to fine particulate matter (PM$_{2.5}$) and respiratory hospitalizations in socioeconomically disadvantaged children using nationwide Medicaid claims data. These data present specific challenges. First, family income-based Medicaid eligibility criteria for children differ by state, creating socioeconomically distinct populations and leading to clustered data.…

AI 解读阅读原文 ↗BibTeX ↓

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health

二部网络干扰下的双重差分:环境政策健康效应的准实验评估

Pollution from coal-fired power plants has been linked to substantial health and mortality burdens in the US. In recent decades, federal regulatory policies have spurred efforts to curb emissions through various actions, such as the installation of emissions control technologies on power plants. However, assessing the health impacts of these measures, particularly over longer periods of time, is complicated by several factors. First, the units that potentially receive the…

AI 解读阅读原文 ↗BibTeX ↓

Environmental Justice Implications of Power Plant Emissions Control Policies: Heterogeneous Causal Effect Estimation under Bipartite Network Interference

电厂排放控制政策的环境正义影响:二部网络干扰下的异质因果效应估计

Emissions generators, such as coal-fired power plants, are key contributors to air pollution and thus environmental policies to reduce their emissions have been proposed. Furthermore, marginalized groups are exposed to disproportionately high levels of this pollution and have heightened susceptibility to its adverse health impacts. As a result, robust evaluations of the heterogeneous impacts of air pollution regulations are key to justifying and designing maximally…

AI 解读阅读原文 ↗BibTeX ↓