Hulliger, Beat

Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Hulliger
Vorname
Beat
Name
Hulliger, Beat

Filter

2006 - 2009242010 - 201420
Filter zurücksetzen

Einstellungen

Anfangsdatum: 2006 × Thema: 659 - Werbung & Public Releations (PR) ×

Suchergebnisse

Gerade angezeigt 1 - 10 von 44
  • Vorschaubild
    Publikation
    05 - Forschungs- oder Arbeitsbericht
  • Vorschaubild nicht verfügbar
    Publikation
    Sicher ist, dass nichts sicher ist
    (Bundesamt für Statistik, 2014) Hulliger, Beat; Schnellmann, Caroline [in: ValeurS, Informationsmagazin des Bundesamts für Statistik]
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild nicht verfügbar
    Publikation
    Mechanisms for multivariate outliers and missing values
    (19.06.2013) Hulliger, Beat; Schoch, Tobias [in: NTTS - Conferences on New Techniques and Technologies for Statistics. Brussels, 5-7 March 2013, Proceedings]
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Mechanisms for multivariate outliers and missing values
    (19.06.2013) Hulliger, Beat; Schoch, Tobias
    06 - Präsentation
  • Vorschaubild nicht verfügbar
    Publikation
    Johann Heinrich Lambert: An Admirable Applied Statistician
    (05.04.2013) Hulliger, Beat [in: Bulletin of the Swiss Statistical Society]
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild nicht verfügbar
    Publikation
    Imputation of Housing Rents for Owners Using Models With Heckman Correction
    (European Survey Research Association, 2012) Hulliger, Beat; Wiegand, Gordon [in: Survey Research Methods]
    The direct income of owners and tenants of dwellings is not comparable since the owners have a hidden income from the investment in their dwelling. This hidden income is considered a part of the disposable income of owners. It may be predicted with the help of a linear model of the rent. Since such a model must be developed and estimated for tenants with observed market rents a selection bias may occur. The selection bias can be minimised through a Heckman correction. The paper applies the Heckman correction to data from the Swiss Statistics on Income and Living Conditions. The Heckman method is adapted to the survey context, the modeling process including the choice of covariates is explained and the effect of the prediction using the model is discussed.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Robust Multivariate Methods for Income Data
    (26.08.2011) Hulliger, Beat; Schoch, Tobias
    With the EU Statistics on Income and Living Conditions (EU-SILC), the European Union established a coordinated survey and adopted a set of indicators (Laeken indicators) to monitor poverty and social cohesion. In particular, the monetary Laeken indicators are based on the equivalized disposable income per person, an aggregation and redistribution of person- and household-specific income components (e.g., income from employment and capital; unemployment-, old-age-, survivors'-, and disability benefits, etc.). To understand this highly complex data the components that are exclusively measured at household-level are distributed among the household members while the individual components are investigated before they are aggregated and redistributed to all household members. The personal income components show the following characteristics: the marginal distribution of each component is heavily skewed and has a remarkable point mass at zero, the joint distribution of the components is far from being elliptically contoured (even after appropriate transformation), an overwhelming majority of observations lies on subspaces i.e., exhibits structural zeros on certain dimension (e.g., individuals on working age with a positive employee-cash income do neither receive old-age nor unemployment benefits, and vice versa), within subspaces the observations are clustered with respect to non-monetary, socio-economic characteristics, many components have missing values, and finally there are outliers in many components but in addition there are genuinely multivariate outliers. The influence of outliers and outlier treatments on the components and on the equivalized disposable income and the Laeken indicators are investigated. In particular the outliers may have a considerable effect on the the Laeken indicators. The presentation shows the development of outlier detection and imputation methods which are capable to treat the structural zeros appropriately, which work with missing values, which cope with the complex nature of the data, which take the sampling design into account, and which are still computationally feasible.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    R Programmes for Robust Procedures. Research Project Report WP4, D4.1, FP7-SSH-2007-217322 AMELI
    (01.03.2011) Hulliger, Beat; Alfons, Andreas; Filzmoser, Peter; Meraner, Angelika; Schoch, Tobias; Templ, Matthias
    05 - Forschungs- oder Arbeitsbericht
  • Vorschaubild nicht verfügbar
    Publikation
    State-of-the-art of Laeken Indicators. Research Project Report WP1, D1.1, FP7-SSH-2007-217322 AMELI
    (01.03.2011) Monique, Graf; Alfons, Andreas; Bruch, Christian; Filzmoser, Peter; Hulliger, Beat; Lehtonen, Risto; Meindl, Bernhard; Münnich, Ralf; Schoch, Tobias; Templ, Matthias; Valaste, Maria; Wenger, Ariane; Zins, Stefan
    05 - Forschungs- oder Arbeitsbericht
  • Vorschaubild nicht verfügbar
    Publikation
    Graphical Tools in R. Research Project Report WP8, D8.1, FP7-SSH-2007-217322 AMELI
    (01.03.2011) Templ, Matthias; Alfons, Andreas; Filzmoser, Peter; Hulliger, Beat; Lussmann Pooda, Daniela
    05 - Forschungs- oder Arbeitsbericht