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  1. Análise da evolução do acesso a serviços de TV por assinatura e de vídeos sob demanda no Brasil
    Autor*in: Carvalho, Alexandre Ywata de; Silva, Nícolas Nascimento Monteiro da; Coutinho, Paulo C.; Oliveira, André L.
    Erschienen: abril de 2024
    Verlag:  Instituto de Pesquisa Econômica Aplicada, Rio de Janeiro

    This study analyzes the recent transformations in the consumption profile of audiovisual media services, transformations mainly marked by the intensive use of the internet. Such a phenomenon has reconfigured the strategies adopted by providers of... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 194
    Fernleihe:
    keine Fernleihe

     

    This study analyzes the recent transformations in the consumption profile of audiovisual media services, transformations mainly marked by the intensive use of the internet. Such a phenomenon has reconfigured the strategies adopted by providers of traditional linear audiovisual media services, in response to the entry into the telecommunications market of non-linear segment companies, especially video-on-demand (VoD) service providers. The data used, all sourced from public databases, include the Continuous National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios Contínua - PNAD Contínua), the Family Budget Survey (Pesquisa de Orçamentos Familiares - POF), and the Information and Communication Technologies (ICT) Households survey (Tecnologias da Informação e Comunicação - TIC Domicílios) conducted by the Brazilian Internet Steering Committee (Comitê Gestor da Internet no Brasil - CGI.br). The objective is to present an overview of linear audiovisual media services, specifically subscription TV and VoD services. Furthermore, we conducted estimates to study the factors influencing consumption decisions and the substitution of subscription TV by VoD services, using the statistical technique called logistic regression.

     
    Export in Literaturverwaltung   RIS-Format
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    Quelle: Verbundkataloge
    Sprache: Portugiesisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/299194
    Schriftenreihe: Texto para discussão / Ipea ; 2987
    Schlagworte: video-on-demand; subscription TV services; logistic regression; public microdata
    Umfang: 1 Online-Ressource (circa 80 Seiten), Illustrationen
  2. Cluster-robust jackknife and bootstrap inference for binary response models
    Autor*in: MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, Matthew
    Erschienen: 5-2024
    Verlag:  Department of Economics, Queen's University, Kingston, Ontario, Canada

    We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 216
    Fernleihe:
    keine Fernleihe

     

    We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves jackknifing at the cluster level. We also propose a linearized version of the cluster-jackknife variance matrix estimator as well as linearized versions of the wild cluster bootstrap. The linearizations are based on empirical scores and are computationally efficient. Throughout we use the logit model as a leading example. We also discuss a new Stata software package called logitjack which implements these procedures. Simulation results strongly favor the new methods, and two empirical examples suggest that it can be important to use them in practice.

     
    Export in Literaturverwaltung   RIS-Format
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/301940
    Schriftenreihe: Queen's Economics Department working paper ; no. 1515
    Schlagworte: logit model; logistic regression; clustered data; grouped data; cluster-robust variance estimator; CRVE; cluster jackknife; robust inference; wild cluster boot-strap; linearization
    Umfang: 1 Online-Ressource (circa 47 Seiten), Illustrationen