RSS Parrot

LLM-Based Measurement of Latent Attributes in Trade Data

https://d.repec.org/n?u=RePEc:osf:socarx:t8wdg_v1&r=&r=big

Published: March 27, 2026 00:00

Trade data are available at a high level of disaggregation, allowing scholars to examine flows of highly specific goods. Yet the sheer number of goods classifications (5, 000+) makes it difficult to analyze trade flows and tariff policy at a mid-level of…

AI-Driven Demand Forecasting and Its Impact on Inventory Optimization

https://d.repec.org/n?u=RePEc:osf:socarx:uw57j_v1&r=&r=big

Published: March 21, 2026 00:00

This research article investigates the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on demand forecasting and subsequent inventory optimization. Utilizing a mixed-methods approach—including a survey of 204 supply chain…

Estimating Demand Shocks from Foot Traffic: A Big-Data Approach

https://d.repec.org/n?u=RePEc:fip:fedrwp:102907&r=&r=big

Published: March 20, 2026 00:00

This study leverages high-frequency foot-traffic data from SafeGraph to estimate demand shocks in customer-facing establishments across New York City’s retail, service, and health sectors. Recognizing that variations in foot traffic can arise from both…

AI for Survey Design: Generating and Evaluating Survey Questions with Large Language Models

https://d.repec.org/n?u=RePEc:osf:socarx:fzn7t_v1&r=&r=big

Published: March 12, 2026 00:00

Designing survey questions is easy; however designing good survey questions is a complex task. Large language models (LLMs) have the potential to support this task by automating parts of the item-generation process, but their suitability for survey…

How Effectively Can Current LLMs Analyze Macrofinancial Issues?

https://d.repec.org/n?u=RePEc:imf:imfwpa:2026/035&r=&r=big

Published: February 27, 2026 00:00

This paper empirically evaluates the ability of current Large Language Models (LLMs) to analyze macrofinancial coverage in IMF Article IV staff reports, using human economists' assessments as a benchmark. We test several GPT models on reports from…

The Worth of a “Wo”: Gender Bias in Financial Advice from LLMs

https://d.repec.org/n?u=RePEc:hhs:nhheco:2026_004&r=&r=big

Published: February 27, 2026 00:00

Do large language models (LLMs) provide gender-neutral financial advice? We answer this question by prompting 33 widely used LLMs from five vendors, varying only a single word in otherwise identical prompts: “man” versus “woman.” We find that women are…

Measuring Online Media Ideology with Large Language Models and "Multi-Cue Classification"

https://d.repec.org/n?u=RePEc:osf:socarx:zmtqp_v1&r=&r=big

Published: February 20, 2026 00:00

Measuring media ideology is essential for researching media bias, media effects, and various important topics in political science, communication, and other social sciences. However, given journalistic norms of objectivity and the complexity of ideology,…

ChatMacro: Evaluating Inflation Forecasts of Generative AI

https://d.repec.org/n?u=RePEc:fip:fedfwp:102407&r=&r=big

Published: February 5, 2026 00:00

Recent research suggests that generic large language models (LLMs) can match the accuracy of traditional methods when forecasting macroeconomic variables in pseudo out-of-sample settings generated via prompts. This paper assesses the out-of-sample…

Nowcasting Economic Growth with Machine Learning and Satellite Data

https://d.repec.org/n?u=RePEc:imf:imfwpa:2026/020&r=&r=big

Published: January 30, 2026 00:00

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic analysis and forecasting. This paper explores alternatives…

Using decomposition techniques and machine learning to investigate the determinants of socioeconomic inequalities in early childcare access

https://d.repec.org/n?u=RePEc:osf:socarx:kgr67_v1&r=&r=big

Published: January 28, 2026 00:00

Formal early childcare has a strong equalizing potential, yet access remains socioeconomically stratified. This study examines how these socioeconomic inequalities emerge and widen across three stages of the formal early childcare access process: intention…

Do Anecdotes Matter? Exploring the Beige Book through Textual Analysis from 1970 to 2025

https://d.repec.org/n?u=RePEc:fip:fedgfe:102374&r=&r=big

Published: January 15, 2026 00:00

We apply various natural language processing tools to see if the Beige Book is helpful in understanding economic activity. The Beige Book is a gathering of anecdotal compilations of current economic conditions from each Federal Reserve Bank, which is…