Tootfinder

Optimal Algorithms for Bandit Learning in Matching Markets
Tejas Pagare, Agniv Bandyopadhyay, Sandeep Juneja
https://arxiv.org/abs/2509.14466 https://arxiv…

Optimal Algorithms for Bandit Learning in Matching Markets
We study the problem of pure exploration in matching markets under uncertain preferences, where the goal is to identify a stable matching with confidence parameter $δ$ and minimal sample complexity. Agents learn preferences via stochastic rewards, with expected values indicating preferences. This finds use in labor market platforms like Upwork, where firms and freelancers must be matched quickly despite noisy observations and no prior knowledge, in a stable manner that prevents dissatisfaction…

Zohran Mamdani Is Right: We Shouldn’t Have Billionaires https://jacobin.com/2025/07/billionaires-wealth-inequality-zohran-mamdani/
This is true in every country in the world. There is simply no justification for any individual to be «worth» a …

Zohran Mamdani Is Right: We Shouldn’t Have Billionaires
The myths that billionaires earn, invent, or give their way to virtue don’t survive scrutiny. Billionaire wealth isn’t built on genius — it rests on public investment and ends with the power to shape law, labor, and markets.

And the most recent jobs report has many hints that ICE is indeed having that desired effect: in an otherwise stagnant or contracting labor market, there was job group in leisure and hospitality, private health care, and (somewhat less) construction — all job markets with a concentration of immigrant labor.
I am not an economist and this is not a proper analysis — grain of salt, please! — but a quick skim of these stats is at least superficially consistent with a good chunk of current job growth coming from decreased immigrant participation in the labor force.
https://www.bls.gov/ces/publications/highlights/2025/current-employment-statistics-highlights-06-2025.pdf
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Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
Abdulla AlKetbi, Patrick Yam, Gautier Marti, Raed Jaradat
https://arxiv.org/abs/2509.08001 https:/…

Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
Employee turnover is a critical challenge in financial markets, yet little is known about the role of professional networks in shaping career moves. Using the Hong Kong Securities and Futures Commission (SFC) public register (2007-2024), we construct temporal networks of 121,883 professionals and 4,979 firms to analyze and predict employee departures. We introduce a graph-based feature propagation framework that captures peer influence and organizational stability. Our analysis shows a contagio…

Trump is ‘killing jobs and jacking up prices’, Democrats say,
as global markets fall over tariff turmoil – US politics live
Senate minority leader Jeffreys says
‘chickens are coming home to roost for Trump’
amid markets slump and meagre job growth figures
🔸Trump signs order increasing tariffs on Canadian goods
🔸Full list of new tariff rates

Live Updates: U.S. Labor Markets Stalled This Summer, With August Data Adding to Slowdown (Lydia DePillis/New York Times)
https://www.nytimes.com/live/2025/09/05/business/jobs-report-august-economy
http://www.memeorandum.com/250905/p56#a250905p56

Forecasting Labor Markets with LSTNet: A Multi-Scale Deep Learning Approach
Adam Nelson-Archer, Aleia Sen, Meena Al Hasani, Sofia Davila, Jessica Le, Omar Abbouchi
https://arxiv.org/abs/2507.01979

Forecasting Labor Markets with LSTNet: A Multi-Scale Deep Learning Approach
We present a deep learning approach for forecasting short-term employment changes and assessing long-term industry health using labor market data from the U.S. Bureau of Labor Statistics. Our system leverages a Long- and Short-Term Time-series Network (LSTNet) to process multivariate time series data, including employment levels, wages, turnover rates, and job openings. The model outputs both 7-day employment forecasts and an interpretable Industry Employment Health Index (IEHI). Our approach o…

Exports, Labor Markets, and the Environment: Evidence from Brazil
Carlos G\'oes, Otavio Concei\c{c}\~ao, Gabriel Lara Ibarra, Gladys Lopez-Acevedo
https://arxiv.org/abs/2508.03855

Exports, Labor Markets, and the Environment: Evidence from Brazil
What is the environmental impact of exports? Focusing on 2000-20, this paper combines customs, administrative, and census microdata to estimate employment elasticities with respect to exports. The findings show that municipalities that faced increased exports experienced faster growth in formal employment. The elasticities were 0.25 on impact, peaked at 0.4, and remained positive and significant even 10 years after the shock, pointing to a long and protracted labor market adjustment. In the lon…

This is some North Korea/Stalinesque nonsense
Don't like the numbers? Demand the director's resignation and/or ritual suicide
https://www.cnbc.com/2025/08/01/trump-erika-mcentarfer-jobs-report-fired.html

Trump fires commissioner of labor statistics after weaker-than-expected jobs figures slam markets

Trump fires commissioner of labor statistics after weaker-than-expected jobs figures slam markets
https://www.cnbc.com/2025/08/01/trump-erika-mcentarfer-jobs-report-fired.html

Crosslisted article(s) found for stat.AP. https://arxiv.org/list/stat.AP/new
[1/1]:
- Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
Abdulla AlKetbi, Patrick Yam, Gautier Marti, Raed Jaradat

Quantifying the Economic Impact of 2025 ICE Raids on California's Agricultural Industry: A Case Study of Oxnard
Xinyu Li
https://arxiv.org/abs/2508.03787 https://

Quantifying the Economic Impact of 2025 ICE Raids on California's Agricultural Industry: A Case Study of Oxnard
In 2025, intensified Immigration and Customs Enforcement (ICE) raids in Oxnard, California, disrupted the state's \$49 billion agricultural industry, a critical supplier of 75% of U.S. fruits and nuts and one-third of its vegetables. This paper quantifies the economic consequences of these raids on labor markets, crop production, and food prices using econometric modeling. We estimate a 20-40% reduction in the agricultural workforce, leading to \$3-7 billion in crop losses and a 5-12% increase …

Training for Obsolescence? The AI-Driven Education Trap
Andrew J. Peterson
https://arxiv.org/abs/2508.19625 https://arxiv.org/pdf/2508.19625

Training for Obsolescence? The AI-Driven Education Trap
Artificial intelligence simultaneously transforms human capital production in schools and its demand in labor markets. Analyzing these effects in isolation can lead to a significant misallocation of educational resources. We model an educational planner whose decision to adopt AI is driven by its teaching productivity, failing to internalize AI's future wage-suppressing effect on those same skills. Our core assumption, motivated by a pilot survey, is that there is a positive correlation between…