Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach
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- Andreas Gulyas & Krzysztof Pytka, 2019. "Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach," CRC TR 224 Discussion Paper Series crctr224_2019_131, University of Bonn and University of Mannheim, Germany.
- Pytka, Krzysztof & Gulyas, Andreas, 2021. "Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242402, Verein für Socialpolitik / German Economic Association.
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More about this item
Keywords
Job displacement; Earnings losses; Causal machine learning;All these keywords.
JEL classification:
- J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-06-15 (Big Data)
- NEP-LAB-2020-06-15 (Labour Economics)
Statistics
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