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Wyszukujesz frazę "discrete choice models" wg kryterium: Temat

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    Wyświetlanie 1-3 z 3
    Tytuł:
    The Analysis of the Tobacco Product Bans Using a Random Coefficients Logit Model
    Autorzy:
    Olesiński, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/2075520.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    tobacco policy analyses
    discrete choice models
    substitution effects
    BLP
    Opis:
    The studies of tobacco demand accounting for product diversity have attracted much attention in the literature, but the ex ante measurements of the effects of product bans are relatively scarce. This paper aims to fill this gap and considers the 2020 EU-induced ban on menthol cigarettes as an example, focusing on the Polish market. In the proposed approach, a 2004-2017 product- level dataset for Poland is used to estimate a random coefficients logit model and simulate the effects of the menthol ban and, for comparison, a cigarette excise hike. The dataset is unique as it encompassess substantial changes in the tobacco tax level and structure that took place in Poland over the sample period. The simulations suggest that the ban, despite switching of consumers towards non-menthol cigarettes, results in relatively strong reduction in demand for duty-paid cigarettes, stronger than in the case of the excise hike.
    Źródło:
    Central European Journal of Economic Modelling and Econometrics; 2020, 2; 113-144
    2080-0886
    2080-119X
    Pojawia się w:
    Central European Journal of Economic Modelling and Econometrics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Accounting for Spatial Heterogeneity of Preferences in Discrete Choice Models
    Autorzy:
    Budziński, Wiktor
    Czajkowski, Mikołaj
    Powiązania:
    https://bibliotekanauki.pl/articles/2075414.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    discrete choice experiment
    discrete choice models
    individual-, region- and population-level parameter estimates
    spatial preference heterogeneity
    Opis:
    There are reasons researchers may be interested in accounting for spatial heterogeneity of preferences, including avoiding model misspecification and the resulting bias, and deriving spatial maps of willingness-to-pay (WTP), which are relevant for policy-making and environmental management. We employ a Monte Carlo simulation of three econometric approaches to account for spatial preference heterogeneity in discrete choice models. The first is based on the analysis of individual-specific estimates of the mixed logit model. The second extends this model to explicitly account for spatial autocorrelation of random parameters, instead of simply conditioning individual-specific estimates on population-level distributions and individuals’ choices. The third is the geographically weighted multinomial logit model, which incorporates spatial dimensions using geographical weights to estimate location-specific choice models. We analyze the performance of these methods in recovering population-, region- and individual-level preference parameter estimates and implied WTP in the case of spatial preference heterogeneity. We find that, although ignoring spatial preference heterogeneity did not significantly bias population-level results of the simple mixed logit model, neither individual-specific estimates nor the geographically weighted multinomial logit model was able to reliably recover the true region- and individual-specific parameters. We show that the spatial mixed logit proposed in this study is promising and outline possibilities for future development.
    Źródło:
    Central European Journal of Economic Modelling and Econometrics; 2021, 1; 1-24
    2080-0886
    2080-119X
    Pojawia się w:
    Central European Journal of Economic Modelling and Econometrics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decisional processing on parking behavior in entropic settings
    Autorzy:
    Moreno, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/223593.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    urban parking lot
    discrete models
    choice model
    decision making models
    parking miejski
    modele dyskretne
    model podejmowania decyzji
    Opis:
    This paper surveys the most recent advances in the context of decisional processing with focusing on the parking behavior in entropic settings, including the measures and the necessary mechanisms for the interaction of the actors-players, and their connection to decisional processing theory. The aim of this article is to provide a critical review of the most fashionable models and methods in parking lot financial design: the first class of methods covers the approach of analysis with the random entropic model; the second class of methods is the decisional processing through rational choice models as rational individual evaluations. Both techniques are described in detail in sections; we illustrate them using the well-known and easy multimodal problem approach and then we present the advanced applications. Thus, it is possible to identify all strong and weak points of the models and to compare them for a best feasible solution for parking lot economic and financial design. Taking into account a close equivalence between the aggregate methods of entropy maximization and disaggregated microeconomic method of discrete choice models, based on random utility theory, we try to provide a critical approach of it through the rational choice models and to underline the possible benefit of it for the problem decision.
    Źródło:
    Archives of Transport; 2017, 41, 1; 17-29
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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