Page 151 - Invited Paper Session (IPS) - Volume 1

IPS122 Elise C. et al.
- Detecting wage anomalies in employers’ payroll declarations statistical
databases [with INSEE Social studies Directorate] (cf 4.2)
- Machine learning for predicting careers and wages for microsimulation
models [with INSEE Economic Studies Directorate and IPP-Paris School of
Economics]
- Peer effects in Education [with the Education ministry statistical service]
Ongoing methodological reports
- Decomposition methods for inequality analysis
- Selection on observables: Propensity score in R (just released)
- Duration models in statistical studies
Other studies in collaboration
- Constructing control group for poor city districts (INSEE Regional studies)
- Differentials in peer effects in high school success (Education)
- Quantifying the effect of school avoidance on segregation (Education)
- Heterogeneity of the performance of high schools in France (INSEE
Economic studies)
- Firm role in gender wage gap (INSEE Social studies)
- Wage discrimination against descendants of immigrants (INSEE Social
studies)
- Evaluation of the 2014 Unemployment Insurance Agreement (INSEE
Economic studies, Acoss)
Training sessions given in 2018
- Machine Learning (2d)
- Textual Analysis (1d)
- Python for the data science (in preparation)
- Decomposition methods for inequality analysis
- Evaluation of public policy
Dissemination and collaborative work practices
- Hackathons, collaborative workshops,
- Reading groups: Machine Learning and econometrics for career analysis
with panel data (in preparation)
Dissemination
- Intranet, extranet SSM, Yammer, blog, Github
- Big Data newsletter, Big Data seminars
Networks
- Eurostat - Big Data task force, Essnet BigData I (and II)
- Eurostat - Grant City data (mobility and phone data)
- Academics - CREST, IPP-PSE, Dauphine

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