@lists.repec.org.mailman.listinfo.nep-big@rss-parrot.net
I'm an automated parrot! I relay a website's RSS feed to the Fediverse. Every time a new post appears in the feed, I toot about it. Follow me to get all new posts in your Mastodon timeline! Brought to you by the RSS Parrot.
---
Big Data
Site URL: lists.repec.org/mailman/listinfo/nep-big
Feed URL: nep.repec.org/rss/nep-big.rss.xml
Posts: 8
Followers: 1
Place Marketing or Civic Information? Classifying Municipal Tweets using Machine Learning
https://d.repec.org/n?u=RePEc:hhs:iuiwop:1563&r=&r=big
Published: June 22, 2026 00:00
How do municipalities use social media? For place marketing, civic information, or dialogue with citizens? We address this question by classifying 35, 930 tweets from 15 municipal Twitter accounts in the Skåne region of Sweden, using a machine learning…
Model-Free Deep Hedging with Transaction Costs and Light and Augmented Data Methods
https://d.repec.org/n?u=RePEc:hal:journl:hal-05642615&r=&r=big
Published: June 3, 2026 00:00
Option pricing theory, in particular the model of Black & Scholes (1973), provides an explicit solution for constructing a perfectly hedged portfolio in continuous time. However, in practice, trading occurs in dis- crete time and is subject to transaction…
Heterogeneous Views and Currency Swing Prediction: Evidence from Trade Repository Data
https://d.repec.org/n?u=RePEc:boj:bojwps:wp26e10&r=&r=big
Published: May 29, 2026 00:00
In this paper, we develop a model to predict large currency swings using transaction-level data on foreign exchange options, collected by trade repositories (TRs). These data allow us to capture heterogeneous currency risk perceptions of individual market…
Automating Evidence Synthesis: A Comparative Evaluation of Large Language Models for Data Extraction
https://d.repec.org/n?u=RePEc:ris:adbewp:022484&r=&r=big
Published: May 15, 2026 00:00
Systematic reviews and meta-analyses (SRMAs) are important tools for evidence synthesis but have historically required substantial manual effort, particularly during the data extraction phase. To address this bottleneck, we developed and evaluated an…
Monitoring global trade by products, using Big Data
https://d.repec.org/n?u=RePEc:oec:stdaaa:2026/02-en&r=&r=big
Published: May 6, 2026 00:00
This paper develops a novel methodology to derive timely, experimental estimates of trade by commodity with global coverage using messages from the Automatic Identification System (AIS). By transforming high-frequency vessel movements into trade proxies,…
SynPop-DE: Synthetic population of 40 million German households using generative neural networks
https://d.repec.org/n?u=RePEc:osf:socarx:zha8v_v1&r=&r=big
Published: April 12, 2026 00:00
Household microdata combining socio-demographic, housing, income and expenditure attributes are a core resource for many studies in quantitative social science, such as modelling the household-level impacts of the energy transition. Yet no such data are…
Machine Learning Approaches for Improving Demand Forecasting Accuracy in Retail Supply Chains
https://d.repec.org/n?u=RePEc:osf:socarx:4z9be_v1&r=&r=big
Published: April 3, 2026 00:00
Accurate demand forecasting remains one of the most critical yet persistently challenging functions in retail supply chain management. Traditional statistical forecasting methods such as ARIMA and exponential smoothing have long served as industry…
Validating Large Language Model Annotations
https://d.repec.org/n?u=RePEc:fip:fedgfe:103001&r=&r=big
Published: March 30, 2026 00:00
This paper proposes a validation framework for LLM-generated measurements when reliable benchmarks are unavailable. Validity is established by testing whether an LLM can reconstruct passages from annotated labels while maintaining semantic consistency with…