Let's roll back! The challenging task of regulating temporary contracts
By Davide Fiaschi, Cristina Tealdi
Rating
1377
Battle Count: 96
Relevance
3/10
While not directly applicable to trading, the methodology could be adapted for analyzing policy impacts on financial markets
Implementation Complexity
6/10
Requires understanding of ARIMA models and causal inference techniques, as well as access to detailed labour market data
Reproducibility
4/5
The paper provides detailed methodology and data sources, enhancing reproducibility
About this paper
Methodology: Causal-ARIMA. Problem types: Causal Inference, Time Series Analysis, Policy Evaluation.
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