MARVASI ENRICO
(syllabus)
The course introduces students to data management and analysis for the labor market. Topics covered include: labor market indicators; descriptive analysis and preparation of reports, graphs and tables; regression analysis; income estimates; causality; randomized experiments; examples and applications in Excel and/or Stata (optional R or Python).
(reference books)
Instructor's material.
Other references: Pepi De Caleo, Brucchi Luchino. Manuale di Economia del Lavoro. Il Mulino. Gábor Békés, Gábor Kézdi. Data Analysis for Business, Economics, and Policy. Cambridge University Press.
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