Application of machine-learning models to estimate regional input coefficients and multipliers-Reference-Cited by-同舟云学术

Application of machine-learning models to estimate regional input coefficients and multipliers

Published:2021-08-18 Issue: Volume: Page:1-28
ISSN:1742-1772
Container-title:Spatial Economic Analysis
language:en
Short-container-title:Spatial Economic Analysis

Author:

Pakizeh Amir Hossein¹^ORCID,Kashani Hamed¹^ORCID

Affiliation:

1. Center for Infrastructure Sustainability and Resilience Research, Department of Civil Engineering, Sharif University of Technology, Tehran, Iran.

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Statistics, Probability and Uncertainty,General Economics, Econometrics and Finance,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/17421772.2021.1959046

Reference33 articles.

1. ON THE PARAMETERIZATION OF TECHNIQUES FOR REPRESENTING REGIONAL ECONOMIC STRUCTURES

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating high-resolution interregional input–output tables: a Bayesian spatial approach;Economic Systems Research;2024-06-13

2. Revisiting methods for estimating interregional input-output accounts: It's not just about trade flows;Structural Change and Economic Dynamics;2024-06

3. Raising the bar in spatial economic analysis: two laws of spatial economic modelling;Spatial Economic Analysis;2024-04-02

4. Cost estimation models for seismic retrofit of masonry school buildings;International Journal of Construction Management;2022-11-21

5. Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting;Environmental Science & Technology;2022-07-28