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Estimating Input Coefficients for Regional Input-Output Tables Using Deep Learning with Mixup

Computational Economics Page 1-27

published_at 2024-06-06

2024-7-3-16-15MainOA.pdf

[fulltext] 865 KB

Title

Estimating Input Coefficients for Regional Input-Output Tables Using Deep Learning with Mixup

Creators Fukui Shogo

Affiliate Master Yamaguchi University

[kakenhi]15501 grid.268397.1

Source Identifiers [EISSN] 1572-9974

Creator Keywords

regional input-output table deep learning non-survey method data augmentation mixup

Languages eng

Resource Type journal article

Publishers Springer Nature

Date Issued 2024-06-06

File Version Accepted Manuscript

Access Rights open access

Relations

[isVersionOf] https://doi.org/10.1007/s10614-024-10641-1

Remark

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10614-024-10641-1