Random Forests for Labor Market Analysis: Balancing Precision and Interpretability
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Keywords
; ; ; ;JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2025-09-22 (Big Data)
- NEP-CMP-2025-09-22 (Computational Economics)
- NEP-FOR-2025-09-22 (Forecasting)
- NEP-LMA-2025-09-22 (Labor Markets - Supply, Demand, and Wages)
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