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#econometrics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #econometrics, aggregated by home.social.

  1. Don't miss today's #DiSCourseSeminar with Vaarun Vijairaghavan from the University of Calgary, Canada, at 12:00 (CET). You can join onsite at the DiSC, Innrain 15, 6020 Innsbruck or remotely via Big Blue Button: webconference.uibk.ac.at/b/car

    Topic: Fair Play for Fair Pay: Fighting Digital Piracy through Revenue Sharing

    #InformationSystems
    #ResearchTalk
    #DigitalPiracy
    #CopyrightInfringement
    #Modeling
    #Econometrics

  2. Don't miss today's #DiSCourseSeminar with Vaarun Vijairaghavan from the University of Calgary, Canada, at 12:00 (CET). You can join onsite at the DiSC, Innrain 15, 6020 Innsbruck or remotely via Big Blue Button: webconference.uibk.ac.at/b/car

    Topic: Fair Play for Fair Pay: Fighting Digital Piracy through Revenue Sharing

    #InformationSystems
    #ResearchTalk
    #DigitalPiracy
    #CopyrightInfringement
    #Modeling
    #Econometrics

  3. Dealing with Censored Earnings in Register Data d.repec.org/n?u=RePEc:hal:jour
    "… In many register #data worldwide a relevant part of earnings and wealth is top-coded (right-censored), , can severely undermine its usefulness. For instance, how can #inequality and top earnings be credibly studied if the right tail of the earnings distribution is missing? Taking a distributional approach that is based on the semi-parametric modelling of the right tail being Pareto-like, we show how the missing tail can be successfully estimated using the administrative censored data.
    … The presented distributional approach should not be confused with individuallevel imputations of #censoredData. The latter requires, in addition to the Pareto parameter, the assignment of a rank of to each censored observation. Due to the censoring, these ranks are unobserved… "
    #Econometrics #PublicStatistics #economics

  4. Dealing with Censored Earnings in Register Data d.repec.org/n?u=RePEc:hal:jour
    "… In many register #data worldwide a relevant part of earnings and wealth is top-coded (right-censored), , can severely undermine its usefulness. For instance, how can #inequality and top earnings be credibly studied if the right tail of the earnings distribution is missing? Taking a distributional approach that is based on the semi-parametric modelling of the right tail being Pareto-like, we show how the missing tail can be successfully estimated using the administrative censored data.
    … The presented distributional approach should not be confused with individuallevel imputations of #censoredData. The latter requires, in addition to the Pareto parameter, the assignment of a rank of to each censored observation. Due to the censoring, these ranks are unobserved… "
    #Econometrics #PublicStatistics #economics