Tootfinder

When Donald Trump didn’t like the weak jobs numbers that were released on Friday, he fired the person responsible for producing them.
It was a move with few precedents in the century-long history of economic statistics in the United States.
And for good reason: When political leaders meddle in government data, it rarely ends well.
Perhaps most famously, there is the case of Argentina, which in the 2000s and 2010s systematically understated inflation figures to such a degre…

Trump Fired America’s Economic Data Collector. History Shows the Perils.
Economists say unbiased data is essential for policymaking, and for democracy.

Trump Fired America's Economic Data Collector. History Shows the Perils. (Ben Casselman/New York Times)
https://www.nytimes.com/2025/08/03/business/trump-bls-firing-economic-reports.html?unlocked_article_code=1.bU8.rRDw.MHENewXzaxZX&smid=url-share
http://www.memeorandum.com/250803/p35#a250803p35

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Yumeng Shi, Zhongliang Yang, DiYang Lu, Yisi Wang, Yiting Zhou, Linna Zhou
https://arxiv.org/abs/2508.02738

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Corporate credit rating serves as a crucial intermediary service in the market economy, playing a key role in maintaining economic order. Existing credit rating models rely on financial metrics and deep learning. However, they often overlook insights from non-financial data, such as corporate annual reports. To address this, this paper introduces a corporate credit rating framework that integrates financial data with features extracted from annual reports using FinBERT, aiming to fully leverage…

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The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
Kiana Jafari Meimandi, Gabriela Ar\'anguiz-Dias, Grace Ra Kim, Lana Saadeddin, Mykel J. Kochenderfer
https://arxiv.org/abs/2506.02064

The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
As industry reports claim agentic AI systems deliver double-digit productivity gains and multi-trillion dollar economic potential, the validity of these claims has become critical for investment decisions, regulatory policy, and responsible technology adoption. However, this paper demonstrates that current evaluation practices for agentic AI systems exhibit a systemic imbalance that calls into question prevailing industry productivity claims. Our systematic review of 84 papers (2023--2025) reve…

Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
Timothy F Leslie, Hossein Amiri, Andreas Z\"ufle
https://arxiv.org/abs/2506.13985

Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
We present a comprehensive dataset capturing patterns of human mobility across the United States from January 2019 to January 2023, based on anonymized mobile device data. Aggregated weekly, the dataset reports visits, travel distances, and time spent at public locations organized by economic sector for approximately 12 million Points of Interest (POIs). This resource enables the study of how mobility and economic activity changed over time, particularly during major events such as the COVID-19…