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来源与收录范围

汇总期刊目录中的 16 个期刊来源,以及 arXiv 计量经济学与相关统计、金融分类和主题检索中的预印本。期刊题录主要来自 Crossref,可靠摘要保留补充来源;期刊官网链接可在论文检索的说明中核对。

保留计量方法研究、相关统计基础及实质涉及计量方法的应用、教程、比较和综述。待核验、范围外及撤回记录不进入公开简报。基础文献按学习与研究需要单独选编。

此前日简报及周、月简报按可核实的原站发表、首次提交和修订日期归档;历史补录只留在文献库。期刊仅纳入收录当月新发表或提前取得题录的论文;只有月份的记录仅进入对应月简报。arXiv 同期只计一次,首次发布优先;未保存的中间版本无法补算。撤回内容会同步移除;所有历史补录仍可在论文检索中查找。

当前结果:已发表 0 篇 · 待刊 0 篇 · 预印本 3 篇

关键词匹配标题、摘要、作者或 DOI;支持部分字母,多词同时匹配,双引号匹配短语。

本期动态按期刊、arXiv 首次发布、arXiv 修订分组,组内默认本文引用优先。也可选择作者引用优先或最新收录。

期刊论文在前,预印本在后。组内先看本文引用,再看已有明确关联作者的最高累计引用,最后按当前日期顺序排序。

“作者引用”指已有明确关联作者的最高累计引用,不合计共同作者。目前作者指标只来自有身份关联快照的预印本,普通期刊条目可能没有该项数据;本页 0/3 篇有可核验作者指标。

本文引用采用 OpenAlex 单条关联记录,不合计版本;缺失不记作零。累计引用会随时间积累,可结合近年范围比较;引用数和作者发表经历是阅读线索,不代表论文质量或同行评审状态。

“作者发表记录”展示作者已有论文的可核验发表记录,不证明该预印本已接收或通过同行评审。

正常题录、可靠摘要和引用同步继续;AI 解读依据可靠材料,材料不足时保留待解读状态。

本期 3 篇
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arXiv · 本期首次发布

Choosing What to Calibrate and What to Estimate in Structural Models

结构模型中哪些参数应校准、哪些应估计?

Structural models often fix (calibrate) some parameters and estimate the rest, but this calibration-estimation partition is usually chosen by convention. This paper treats that choice as an econometric partition-selection problem. For each admissible partition, we construct a scalar sensitivity statistic measuring the local response of a target object -- such as a policy effect, welfare measure, impulse response, or treatment effect -- to perturbations of the calibrated…

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Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees

将基础模型预测嵌入具有结构保证的离散选择模型

Tabular foundation models achieve strong accuracy on choice prediction tasks, but their predictions often violate the economic logic those tasks require: raising a price can increase predicted demand, implied willingness-to-pay estimates are frequently negative or implausible, and unavailable alternatives receive nonzero probability. We propose a two-stage adapter that takes a foundation model's predicted choice probabilities as a precomputed feature and embeds them inside a…

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arXiv · 本期修订

Regression Adjustments for Double Randomization in Two-Sided Marketplaces

双边市场双重随机化实验的回归调整

Multiple randomization designs (MRDs) are a class of experimental designs used to handle interference in two-sided marketplaces. We investigate regression adjustment strategies for estimating total, spillover, and direct effects in MRDs. We derive minimum asymptotic variance estimators among a broad class of linearly adjusted estimators, without assuming a linear model on the potential outcomes. Surprisingly, the optimal regression adjustments are estimable from data and are…

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