Work

Data and code for Distributional breakeven thresholds under AI deepening

Year: 2026

Type: dataset

Abstract: Research data and analysis code for a two-group model of distributional breakeven thresholds under AI deepening, with numerical examples and exploratory descriptive analyses. The archive contains the analysis records and provider inputs used by the study, source and variable documentation, software requirements, processing and analysis scripts, generated tables and figures, and computational diagnostics. It does not include the manuscript, supplementary narrative, editorial correspondence or revision materials. The empirical diagnostics are exploratory and do not validate the model or establish causal effects. Third-party data retain their source-specific conditions; see DATA_PROVENANCE.txt, SOURCE_ACCESS.txt and the provider licence notices in the archive.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23668518

Authors: Zhang, Jingang, Li, Minghui

Language: English

Topic: Labor market dynamics and wage inequality

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7223663533

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