Forecasts and insights into Japan’s fiscal future: Machine learning-based projections of city-level taxpayer numbers and total income from 2020 to 2100

Forecasts and insights into Japan’s fiscal future: Machine learning-based projections of city-level taxpayer numbers and total income from 2020 to 2100

Japan’s economic landscape is undergoing profound transformations due to shifting demographic trends, including population decline, aging, and urban-rural disparities. This study applies advanced machine learning techniques and stepwise updating methodologies to predict city-level taxpayer numbers a...

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Bibliographic Details
Main Authors: Chao Li, Alexander Ryota Keeley, Shunsuke Managi
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Machine Learning with Applications
Subjects:
Income
Taxpayer
City-level
Machine learning
Economic planning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827025000829
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