Libro adottato a Politecnico di Milano, a.a. 2026/2027 · 3 canali
«William Greene – Econometric Analysis» è adottato per Introductory Econometrics dal prof. Rocco Roberto Mosconi (Food Engineering, Industrial Safety and Risk Engineering, Management Engineering – Politecnico di Milano).
Come lo indica il docente: William Greene, Econometric Analysis, 7th Ed., Pearson, Anno edizione: 2012, ISBN: 9780131395381 http://pages.stern.nyu.edu/~wgreene/Text/econometricanalysis.htm Note: selected chapters
William Greene – Econometric Analysisquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Overview The agenda includes regression, instrumental variables, differences-in-differences, probit, logit, tobit, survival analysis. One of the goals is to equip students with working knowledge of the tools of probability and statistics, skills in data handling and statistical programming, and an understanding of the models and methods of applied econometrics.
William Greene – Econometric Analysisquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Overview The agenda includes regression, instrumental variables, differences-in-differences, probit, logit, tobit, survival analysis. One of the goals is to equip students with working knowledge of the tools of probability and statistics, skills in data handling and statistical programming, and an understanding of the models and methods of applied econometrics.
William Greene – Econometric Analysisquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Overview The agenda includes regression, instrumental variables, differences-in-differences, probit, logit, tobit, survival analysis. One of the goals is to equip students with working knowledge of the tools of probability and statistics, skills in data handling and statistical programming, and an understanding of the models and methods of applied econometrics.
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