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ECONOMIC POLICY THEMES

CODE 101992
ACADEMIC YEAR 2021/2022
CREDITS
  • 9 cfu during the 2nd year of 8707 MANAGEMENT (LM-77) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR SECS-P/02
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 2° Semester
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    The course deals with the economic policy implication of ageing and with the digitalization of the economy

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The course covers topics of economic policy associated with the aging of the population, the digitalisation of the economy and innovation policies

    AIMS AND LEARNING OUTCOMES

    The first part of the course provides the student with insights the working of pension systems (both Pay as You Go and Funded) and Long Term Care Policies. The second part is on the implications of the digitalization of the economy.

    SYLLABUS/CONTENT

    Il corso si articola nelle seguenti 4 parti:

     

    1) Teoria delle votazioni

    N. Acocella, Fondamenti di Politica Economica, NIS, 1994, par. 3.6

     

    2) Elementi di demografia ed implicazioni di politica economica dell’invecchiamento della

    popolazione:

    i) Elementi di demografia (materiali su aulaweb)

    ii) L’economia delle pensionistici (materiali su aulaweb)

    iii) Invecchiamento e distribuzione della ricchezza (materiali su aulaweb)

    iv) Politiche di assistenza (materiali su aulaweb)

     

    3) Implicazioni di politica economica della digitalizzazione dell’economia:

    i) Slides su aulaweb

    ii) I seguenti articoli (caricati su Aulaweb)

    (1) A. Goldfarb, C. Tucker, Digital Economics, NBER wp 23684, 2017.

    (2) A. Agrawal, J. Gans, A. Goldfarb, Artificial Intelligence: the Ambiguous Labor

    Market Impact of Automating Prediction, NBER wp 25619, 2019

    (3) A. Agrawal, J. Gans, A. Goldfarb, Economic Policy for Artificial Intelligence, NBER wp 24690, 2018

    (4) D. Sichel, Productivity Measurement: Racing to Keep Up, NBER wp 25558, 2019

    (5) E. Bryniolfsson, D. Rock, C. Syverson, Artificial Intelligence and the Modern

    Productivity Paradox: a Clash of Expectations and Statistics

     

     

    TEACHERS AND EXAM BOARD

    Exam Board

    LUCA BELTRAMETTI (President)

    ANNA BOTTASSO

    GABRIELE CARDULLO

    MAURIZIO CONTI

    LESSONS

    LESSONS START

    February 2022

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    Oral exam. The exam can be given in English upon request

    Exam schedule

    Date Time Location Type Notes
    22/12/2021 14:30 GENOVA Orale
    27/01/2022 14:30 GENOVA Orale
    11/02/2022 14:30 GENOVA Orale
    01/06/2022 14:30 GENOVA Orale
    23/06/2022 14:30 GENOVA Orale
    14/07/2022 14:30 GENOVA Orale
    09/09/2022 14:30 GENOVA Orale