Clay weekly context brief for the Economics category (ISO week 2026-W46).

Clay tracks publications from the Economics feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed.

Recent publications:
1. Classification Aggregation with Multiple Memberships
   Source: econ.TH (Theoretical Economics)
   Link: https://arxiv.org/abs/2611.02984
   People face the problem of classifying objects into categories while aggregating their opinions.
2. Further Education During Unemployment
   Source: econ.GN (General Economics)
   Link: https://arxiv.org/abs/2312.17123
   Evidence on the effectiveness of retraining unemployed U.S.
3. What is the Long-Term Value of Reliability?
   Source: econ.EM (Econometrics)
   Link: https://arxiv.org/abs/2606.11526
   We describe Chronos LTV, a system to measure the long-term impact of delays and other service defects on key business metrics.
4. A Sequential Foundation for Two-Level Nested Logit
   Source: econ.TH (Theoretical Economics)
   Link: https://arxiv.org/abs/2610.38098
   I show that the two-level nested logit model arises exactly from a sequential choice process in which group, subgroup, and product shocks are revealed in stages.
5. Sanctions, Evasion, and Deterrence: Evidence from Speeding Enforcement
   Source: econ.GN (General Economics)
   Link: https://arxiv.org/abs/2611.09337
   The design of sanctions plays a central role in shaping reoffending behavior.
6. Nonfundamentalness or missing information ? Evidence from causal-noncausal VARs in macro-finance
   Source: econ.EM (Econometrics)
   Link: https://arxiv.org/abs/2607.28131
   This paper studies the presence of noncausal dynamics in standard macro-finance VAR models and asks whether they reflect genuine nonfundamentalness or omitted information available to economic agents but unobserved by the econometrician.
7. Who Picks First? Compensatory Fairness When Equal Division Is Impossible
   Source: econ.TH (Theoretical Economics)
   Link: https://arxiv.org/abs/2611.09685
   When indivisible objects, such as heirlooms or tickets to sports events, do not divide evenly among agents with equal claims, some agents must receive more objects than others.
8. Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation
   Source: econ.EM (Econometrics)
   Link: https://arxiv.org/abs/2504.13295
   A researcher interested in a particular outcome variable often observes dozens of other outcomes for the same units.
9. Moral Consumers and the Environment
   Source: econ.TH (Theoretical Economics)
   Link: https://arxiv.org/abs/2611.09515
   We study the taxation of environmentally harmful goods when consumers have a Kantian desire to ``do the right thing''.
10. Partially identified heteroskedastic SVARs
   Source: econ.EM (Econometrics)
   Link: https://arxiv.org/abs/2403.06879
   This paper studies the identification of Structural Vector Autoregressions (SVARs) exploiting a break in the variances of the structural shocks.
11. Optimal robust comonotonic risk sharing under operational constraints
   Source: econ.TH (Theoretical Economics)
   Link: https://arxiv.org/abs/2611.09452
   Risk-sharing arrangements such as reinsurance programs and catastrophe pools must satisfy operational constraints, including capacity limits, attachment bands, retention rules and cession limits.
12. Inference in clustered IV models with many and weak instruments
   Source: econ.EM (Econometrics)
   Link: https://arxiv.org/abs/2306.08559
   This paper studies inference in instrumental variable models with many, weak instruments and clustered data.
13. Artificial Shoppers and Attention Competition
   Source: econ.TH (Theoretical Economics)
   Link: https://arxiv.org/abs/2611.09399
   We study how AI shopping interfaces affect price competition, platform profit, and consumer welfare.
14. Knowing When to Intervene: Causal Evaluation of AI Agents
   Source: econ.EM (Econometrics)
   Link: https://arxiv.org/abs/2611.09792
   Current evaluations of agentic AI systems primarily rely on benchmarks.

Sources in this brief: econ.EM (Econometrics); econ.GN (General Economics); econ.TH (Theoretical Economics).
Selected 14 of 18 available items for this weekly brief.