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A New Approach to Textual Analysis using Large Language Models: Application to the Analysis of Recent Wage and Price Developments in Japan
https://d.repec.org/n?u=RePEc:boj:bojrev:rev25e05&r=&r=big
Published: March 24, 2025 00:00
This paper examines whether textual data analysis using Large Language Models (LLMs) can be applied to assessing economic activity and prices in light of the rapid development of LLMs in recent years. LLMs have advantages in that there are a wide range of…
Perception of the CERN/LHC: Evidence from French Media Articles
https://d.repec.org/n?u=RePEc:mst:wpaper:202501&r=&r=big
Published: March 4, 2025 00:00
CERN is advancing plans for the Future Circular Collider (FCC), a next-generation particle accelerator designed to push the boundaries of high-energy physics beyond what was possible using the Large Hadron Collider (LHC). As a scientific mega-project of…
A computational approach for characterizing social and ecological values in public comments
https://d.repec.org/n?u=RePEc:osf:socarx:f4pgy_v1&r=&r=big
Published: February 21, 2025 00:00
1. Addressing social and ecological values is a central aim of democratic environmental management and policymaking, especially during deliberative and participatory processes. Agencies responsible for managing public lands would benefit from a deepened…
The Impacts of Palm Oil Expansion on Deforestation and Economic Activity in the Eastern Amazon
https://d.repec.org/n?u=RePEc:spa:wpaper:2025wpecon3&r=&r=big
Published: February 17, 2025 00:00
In recent years, the Brazilian government has designed policies to promote the palm oil industry and forest protection, limiting oil palm plantations to already degraded areas. As a consequence, oil palm crops have increased rapidly in the eastern Amazon…
Constructing Applicants from Loan-Level Data: A Case Study of Mortgage Applications
https://d.repec.org/n?u=RePEc:fip:fedpwp:99499&r=&r=big
Published: February 4, 2025 00:00
We develop a clustering-based algorithm to detect loan applicants who submit multiple applications (“cross-applicants”) in a loan-level dataset without personal identifiers. A key innovation of our approach is a novel evaluation method that does not…
Nowcasting Peru's GDP with Machine Learning Methods
https://d.repec.org/n?u=RePEc:gii:giihei:heidwp01-2025&r=&r=big
Published: February 3, 2025 00:00
This paper explores the application of machine learning (ML) techniques to nowcast the monthly year-over-year growth rate of both total and non-primary GDP in Peru. Using a comprehensive dataset that includes over 170 domestic and international predictors,…