:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Vallarino, Diego
Format:	Preprint
Published:	2025
Subjects:	General Economics Economics Machine Learning
Online Access:	https://arxiv.org/abs/2511.21865
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)
by: Vallarino, Diego
Published: (2024)

Analyzing Economic Convergence Across the Americas: A Survival Analysis Approach to GDP per Capita Trajectories
by: Vallarino, Diego
Published: (2024)

Data for Inclusion: The Redistributive Power of Data Economics
by: Vallarino, Diego
Published: (2025)

Nonlinear Fiscal Transitions and the Dynamics of Public Expenditure Reform
by: Vallarino, Diego
Published: (2026)

Is there "Secret Sauce'' in Large Language Model Development?
by: Mertens, Matthias, et al.
Published: (2026)

Cracking the Code: Enhancing Development finance understanding with artificial intelligence
by: Beaucoral, Pierre
Published: (2025)

Developing synthetic microdata through machine learning for firm-level business surveys
by: Cisneros, Jorge, et al.
Published: (2025)

Sandpile Economics: Theory, Identification, and Evidence
by: Vallarino, Diego
Published: (2026)

Machine learning and economic forecasting: the role of international trade networks
by: Silva, Thiago C., et al.
Published: (2024)

Assessing Generative AI value in a public sector context: evidence from a field experiment
by: Fitzpatrick, Trevor, et al.
Published: (2025)

Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
by: Saricioglu, Alper, et al.
Published: (2025)

Predictive economics: Rethinking economic methodology with machine learning
by: Pereira, Miguel Alves
Published: (2025)

The Effects of Flipped Classrooms in Higher Education: A Causal Machine Learning Analysis
by: Czarnowske, Daniel, et al.
Published: (2025)

Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models
by: Lee, Stephen J., et al.
Published: (2025)

Misaligned by Design: Incentive Failures in Machine Learning
by: Autor, David, et al.
Published: (2025)

Shifting Work Patterns with Generative AI
by: Dillon, Eleanor Wiske, et al.
Published: (2025)

Investigation into U.S. Citizen and Non-Citizen Worker Health Insurance and Employment
by: Yao, Annabelle
Published: (2025)

Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models
by: Sua, Lutfu, et al.
Published: (2025)

Optimizing Supply Chain Networks with the Power of Graph Neural Networks
by: Chen, Chi-Sheng, et al.
Published: (2025)

Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
by: Goldani, Mahdi
Published: (2025)

Feature-driven reinforcement learning for photovoltaic in continuous intraday trading
by: Abate, Arega Getaneh, et al.
Published: (2025)

Pattern Recognition of Aluminium Arbitrage in Global Trade Data
by: Ramli, Muhammad Sukri Bin
Published: (2025)

Pattern Recognition of Scrap Plastic Misclassification in Global Trade Data
by: Ramli, Muhammad Sukri Bin
Published: (2025)

Solving Heterogeneous Agent Models with Physics-informed Neural Networks
by: Grzeskiewicz, Marta
Published: (2025)

The Adoption and Usage of AI Agents: Early Evidence from Perplexity
by: Yang, Jeremy, et al.
Published: (2025)

Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities
by: Wang, Qiao, et al.
Published: (2025)

Modelling the Doughnut of social and planetary boundaries with frugal machine learning
by: Vrizzi, Stefano, et al.
Published: (2025)

Delphos: A reinforcement learning framework for assisting discrete choice model specification
by: Nova, Gabriel, et al.
Published: (2025)

A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)
by: Gildas, Ngueuleweu Tiwang
Published: (2025)

Early Impacts of M365 Copilot
by: Dillon, Eleanor Wiske, et al.
Published: (2025)

Deep reinforced learning enables solving rich discrete-choice life cycle models to analyze social security reforms
by: Tanskanen, Antti J.
Published: (2020)

E-commerce users' preferences for delivery options
by: Oyama, Yuki, et al.
Published: (2022)

Boundedly Rational Meta-Learning in Sequential Consumer Choice
by: Khosravi, Mehrzad, et al.
Published: (2026)

Macroeconomic Predictions using Payments Data and Machine Learning
by: Chapman, James T. E., et al.
Published: (2022)

Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment
by: Zheng, Yi, et al.
Published: (2024)

Assessing the Heterogeneous Impact of Economy-Wide Shocks: A Machine Learning Approach Applied to Colombian Firms
by: Dueñas, Marco, et al.
Published: (2021)

Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models
by: Wang, Fang, et al.
Published: (2024)

Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru
by: Ghosh, Tanmay, et al.
Published: (2024)

Neural Demand Estimation with Habit Formation and Rationality Constraints
by: Grzeskiewicz, Marta
Published: (2026)

Hedonic Prices and Quality Adjusted Price Indices Powered by AI
by: Bajari, Patrick, et al.
Published: (2023)