Labor Market Informality Dynamics: AI Forecasting of Shadow Employment Under Economic Shocks

Q: What does this research mean for the field?

Artificial intelligence models can forecast the dynamics of shadow employment and labor market informality in response to economic shocks. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Олег Ивченко

doi:10.5281/zenodo.22135533

August 28, 2026Open Access

Labor Market Informality Dynamics: AI Forecasting of Shadow Employment Under Economic Shocks

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Key Points

To evaluate artificial intelligence frameworks for forecasting shadow employment dynamics and labor informality during economic shocks.
Implemented artificial intelligence predictive modeling algorithms to track informal labor market adjustments.
Simulated the impact of macroeconomic shock indicators on shadow employment trajectories.
Predictive models captured dynamic, nonlinear shifts in informal employment rates following economic disruptions.
Algorithmic forecasting demonstrated high sensitivity in detecting rapid transitions into shadow labor under macroeconomic stress.

Implication

Predictive modeling study reveals shadow employment dynamics under economic shocks, highlighting artificial intelligence capabilities in macroeconomic labor forecasting.

Abstract

Research article: Labor Market Informality Dynamics: AI Forecasting of Shadow Employment Under Economic Shocks

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Cite This Study

Олег Ивченко (2026) studied this question.

synapsesocial.com/papers/6a93f0c06c1a8fb52e79d2ef https://doi.org/10.5281/zenodo.22135533

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Labor Market Informality Dynamics: AI Forecasting of Shadow Employment Under Economic Shocks

Key Points

Implication

Abstract

Discussion

Cite This Study

Labor Market Informality Dynamics: AI Forecasting of Shadow Employment Under Economic Shocks

Key Points

Implication

Abstract

Discussion

Cite This Study

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