Group calendar – Mobile

February 15 2019
Tuesday, 21 May 2024
  • Eleonora Guarnieri , University of Exeter
    21 May, 14:00 - 15:30

    Location: 2.103

    May
    21

    Eleonora Guarnieri , University of Exeter

    Tuesday, 14:00 - 15:30

    Location: 2.103

Friday, 24 May 2024
  • Francesco del Prato, PSE
    24 May, 12:15 - 13:30

    Title : The Importance of Working for Earnest: Climbing the Job Ladder through Firms’ Connectivity

    Abstract : Do workers consider a firm’s “springboard” value in terms of future job opportunities when choosing an employer? Using a search model of the labor market, I introduce the idea that firms differ in enhancing their employees’ chances of receiving external job offers. The model informs a firm-level proxy for outside job offers received by workers. This measure empirically aligns with key model predictions: 1) it negatively correlates with both firm-specific tenure and young workers’ entry salaries, revealing a compensating differential; and 2) it suggests that workers enjoy a salary premium upon leaving such firms, indicative of faster career progression. The model is estimated on administrative data from Italy and successfully captures key aspects of labor market dynamics. My channel explains 10% of the overall job-to-job transitions and shows how firm-induced variation in job search can be a significant driver of inequality, especially at the bottom of the wage distribution.

    Location: R42.2.110

    May
    24

    Title : The Importance of Working for Earnest: Climbing the Job Ladder through Firms’ Connectivity

    Abstract : Do workers consider a firm’s “springboard” value in terms of future job opportunities when choosing an employer? Using a search model of the labor market, I introduce the idea that firms differ in enhancing their employees’ chances of receiving external job offers. The model informs a firm-level proxy for outside job offers received by workers. This measure empirically aligns with key model predictions: 1) it negatively correlates with both firm-specific tenure and young workers’ entry salaries, revealing a compensating differential; and 2) it suggests that workers enjoy a salary premium upon leaving such firms, indicative of faster career progression. The model is estimated on administrative data from Italy and successfully captures key aspects of labor market dynamics. My channel explains 10% of the overall job-to-job transitions and shows how firm-induced variation in job search can be a significant driver of inequality, especially at the bottom of the wage distribution.

    Francesco del Prato, PSE

    Friday, 12:15 - 13:30

    Location: R42.2.110

Tuesday, 28 May 2024
  • Martin Dufwenberg, University of Arizona
    28 May, 14:00 - 15:15

    Location: 2.103

    May
    28

    Martin Dufwenberg, University of Arizona

    Tuesday, 14:00 - 15:15

    Location: 2.103

Friday, 31 May 2024
  • Hassan Nostrat
    31 May, 12:15 - 13:30

    Location: R42.2.113

    May
    31

    Hassan Nostrat

    Friday, 12:15 - 13:30

    Location: R42.2.113

Monday, 03 June 2024
  • ENTER Jamboree
    03 Jun, 00:00 - 23:59

    Location: R42.2.110

    Jun
    03

    ENTER Jamboree

    Monday, 00:00 - 23:59

    Location: R42.2.110

Tuesday, 04 June 2024
  • ENTER Jamboree
    03 Jun, 00:00 - 23:59

    Location: R42.2.110

    Jun
    03

    ENTER Jamboree

    Monday, 00:00 - 23:59

    Location: R42.2.110

Tuesday, 18 June 2024
  • Xavier Gabaix, Harvard University
    18 Jun, 12:30 - 14:00

    Location:

    Jun
    18

    Xavier Gabaix, Harvard University

    Tuesday, 12:30 - 14:00

    Location:

Sunday, 21 July 2024
  • public holiday
    21 Jul, 00:00 - 23:59

    Location:

    Jul
    21

    public holiday

Thursday, 15 August 2024
  • Public Holiday
    15 Aug, 00:00 - 23:59

    Location:

    Aug
    15

    Public Holiday

Thursday, 10 October 2024
  • Natalia Ramondo ,Boston University 
    10 Oct, 16:30 - 18:00

    Location:

    Oct
    10

    Natalia Ramondo ,Boston University 

    Thursday, 16:30 - 18:00

    Location:

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