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  1. A discrete choice model for partially ordered alternatives
    Autor*in: Aristodemou, Eleni; Rosen, Adam M.
    Erschienen: [2021]
    Verlag:  Cemmap, Centre for Microdata Methuods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    In this paper we analyze a discrete choice model for partially ordered alternatives. The alternatives are differentiated along two dimensions, the first an unordered "horizontal" dimension, and the second an ordered "vertical" dimension. The model... mehr

    Zugang:
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 243
    Fernleihe:
    keine Fernleihe

     

    In this paper we analyze a discrete choice model for partially ordered alternatives. The alternatives are differentiated along two dimensions, the first an unordered "horizontal" dimension, and the second an ordered "vertical" dimension. The model can be used in circumstances in which individuals choose amongst products of different brands, wherein each brand offers an ordered choice menu, for example by offering products of varying quality. The unordered-ordered nature of the discrete choice problem is used to characterize the identified set of model parameters. Following an initial nonparametric analysis that relies on shape restrictions inherent in the ordered dimension of the problem, we then provide a specialized analysis for a parametric generalization of the ordered probit model. Conditions for point identification are established when the distribution of unobservable heterogeneity is known, but remain elusive when the distribution is instead restricted to the multivariate normal family with parameterized variance. Rather than invoke the restriction that the distribution is known, or simply assume that model parameters are point identified, we consider the use of inference methods that allow for the possibility of set identification, and which are therefore robust to the possible lack of point identification. A Monte Carlo analysis is provided in which inference is carried out using a method proposed by Chen, Christensen, and Tamer (2018), which is insensitive to the possible lack of point identification and is found to perform adequately. An empirical illustration is then conducted using consumer purchase data in the UK to study consumers' choice of razor blades in which each brand has product offerings vertically differentiated by quality.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/246803
    Schriftenreihe: Cemmap working paper ; CWP21, 35
    Schlagworte: Diskrete Entscheidung; Probit-Modell; Monte-Carlo-Simulation; Schneidwaren; Konsumentenverhalten; Großbritannien
    Umfang: 1 Online-Ressource (circa 53 Seiten)
  2. A discrete choice model for partially ordered alternatives
    Autor*in: Aristodemou, Eleni; Rosen, Adam M.
    Erschienen: [2019]
    Verlag:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    In this paper we analyze a discrete choice model for partially ordered alternatives. The alternatives are differentiated along two dimensions, the first an unordered "horizontal" dimension, and the second an ordered "vertical" dimension. The model... mehr

    Zugang:
    Resolving-System (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 243
    Fernleihe:
    keine Fernleihe

     

    In this paper we analyze a discrete choice model for partially ordered alternatives. The alternatives are differentiated along two dimensions, the first an unordered "horizontal" dimension, and the second an ordered "vertical" dimension. The model can be used in circumstances in which individuals choose amongst products of different brands, wherein each brand offers an ordered choice menu, for example by offering products of varying quality. The unordered-ordered nature of the discrete choice problem is used to characterize the identified set of model parameters. Following an initial nonparametric analysis that relies on shape restrictions inherent in the ordered dimension of the problem, we then provide a specialized analysis for a parametric generalization of the ordered probit model. Conditions for point identification are established when the distribution of unobservable heterogeneity is known, but remain elusive when the distribution is instead restricted to the multivariate normal family with parameterized variance. Rather than invoke the restriction that the distribution is known, or simply assume that model parameters are point identified, we consider the use of inference methods that allow for the possibility of set identification, and which are therefore robust to the possible lack of point identification. A Monte Carlo analysis is provided in which inference is carried out using a method proposed by Chen, Christensen, and Tamer (2018), which is insensitive to the possible lack of point identification and is found to perform adequately. An empirical illustration is then conducted using consumer purchase data in the UK to study consumers' choice of razor blades in which each brand has product offerings vertically differentiated by quality.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/211155
    Schriftenreihe: Cemmap working paper ; CWP19, 62
    Schlagworte: Diskrete Entscheidung; Probit-Modell; Monte-Carlo-Simulation; Schneidwaren; Konsumentenverhalten; Großbritannien
    Umfang: 1 Online-Ressource (circa 50 Seiten), Illustrationen
  3. Retail competition and the dynamics of consumer demand for tied goods
    Erschienen: 2007
    Verlag:  Univ., Graduate School of Business, Stanford, Calif.

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Fernleihe:
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Research paper series / Graduate School of Business, Stanford University ; 1990
    Schlagworte: Schneidwaren; Einzelhandel; Wettbewerb; Vertriebsweg; Konsumentenverhalten; Diskrete Entscheidung
    Umfang: Online-Ressource (PDF-Datei: 47 S., 524,89 KB), graph. Darst.
    Bemerkung(en):

    Literaturverz. S. 36 - 37
  4. A viral branching model for predicting the spread of electronic word-of-mouth
    Erschienen: 2009
    Verlag:  ERIM, Rotterdam

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    VS 26 (2009.029)
    Fernleihe:
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 1765/16015
    Schriftenreihe: Array ; 2009,029
    Schlagworte: Schneidwaren; Einzelhandel; Wettbewerb; Vertriebsweg; Virales Marketing; Konsumentenverhalten; Diskrete Entscheidung
    Umfang: Online-Ressource (PDF-Datei: 64 S., 958,16 KB), graph. Darst.
    Bemerkung(en):

    Literaturverz. S. 38 - 40