Agent-Based, System Dynamic Models and Scenario Analysis as Forecasting Tools of Labor Demand
https://doi.org/10.12737/22954
Abstract
Forecasting of labor demand is the multistage process combining the different modeling methods and working with empirical data to provide reliable and consistent scenario for the future dynamic labor demand under the influence of multiple factors at the regional/ national level. Agent-based, system dynamic models and scenario analysis are widely used to predict changes in the labor market from the production side.
About the Authors
A. I. Ilyinsky
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
T. A. Goroshnikova
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
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Review
For citations:
Ilyinsky A.I., Goroshnikova T.A. Agent-Based, System Dynamic Models and Scenario Analysis as Forecasting Tools of Labor Demand. Humanities and Social Sciences. Bulletin of the Financial University. 2016;6(4):36-39. (In Russ.) https://doi.org/10.12737/22954
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