Showing 161 - 180 results of 341 for search '"Discrete Choice Modelling"', query time: 0.30s Refine Results
  1. 161

    Education and competence mismatches: job satisfaction consequences for workers by López Nicolás, Ángel, Badillo Amador, Lourdes, Vila Lladosa, Luís E.

    Published 2008-01-01
    “…In addition, ordered discrete choice models reveal that they have different consequences in terms of job satisfaction as well.…”
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    Article
  2. 162
  3. 163

    The effectiveness of private benefits in fundraising of local charities* by Sieg, Holger, Zhang, Jipeng

    Published 2015
    “…We develop a multiple discrete choice model with differentiated products. We estimate the model using a unique data set of donor lists for the ten largest cultural and environmental charitable organizations in the Pittsburgh metropolitan area. …”
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    Journal Article
  4. 164

    Mixed Multinomial Probit Model Accommodating Flexible Covariance Structure and Random Taste Variation: An Application to Commute Mode Choice Behavior by Ke Wang, Xin Ye, Hongcheng Gan

    Published 2022-01-01
    “…Empirical results indicate that the MMNP model performs better than traditional discrete choice models, such as the multinomial logit, the cross-nested logit, MMNL, and multinomial probit models. …”
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    Article
  5. 165

    Probabilistic Solar Forecasts as a Binary Event Using a Sky Camera by Mathieu David, Joaquín Alonso-Montesinos, Josselin Le Gal La Salle, Philippe Lauret

    Published 2023-10-01
    “…Therefore, we propose in this work to combine a state-of-the-art model based on a sky camera and a discrete choice model to predict the probability of an irradiance threshold suitable for plant operators. …”
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    Article
  6. 166

    Le scelte formative all’università: una applicazione dei modelli a scelta discreta by Ivano Bison

    Published 2017-11-01
    “…This article analyse the preferences and constraints that underlie the choice of fields of study made by 2333 students enrolled at the University of Trento in the academic year 2014/15 through a family of statistical models known in the literature as Discrete Choice Models, Random Utility Models (McFadden, 1973).The analysis takes into account the factors that lead a person to enrol in a course of study. …”
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    Article
  7. 167

    Random walkers with extreme value memory: modelling the peak-end rule by Rosemary J Harris

    Published 2015-01-01
    “…Motivated by the psychological literature on the ‘peak-end rule’ for remembered experience, we perform an analysis within a random walk framework of a discrete choice model where agents’ future choices depend on the peak memory of their past experiences. …”
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    Article
  8. 168
  9. 169

    The effectiveness of private benefits in fundraising of local charities* by Sieg, Holger, Zhang, Jipeng

    Published 2013
    “…We develop a multiple discrete choice model with differentiated products. We estimate the model using a unique data set of donor lists for the 10 largest cultural and environmental charitable organizations in the Pittsburgh metropolitan area. …”
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    Journal Article
  10. 170

    The Revealed Preference for Battery Electric Vehicle Range by Lasse Fridstrøm, Vegard Østli

    Published 2022-01-01
    “…Exploiting a disaggregate discrete choice model of automobile purchase, we reveal the willingness-to-pay for extended all-electric range in battery and plug-in hybrid electric cars in Norway. …”
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    Article
  11. 171

    Equity Impacts of Transportation Improvements On Core and Peripheral Cities by Shlomo Bekhor, Eran Leck, Daniel Gat

    Published 2008-11-01
    “…The methodology applied in the study was to estimate discrete choice models in an attempt to identify key variables affecting commuting decisions. …”
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    Article
  12. 172

    Uncovering the Influence of Commuters’ Perception on the Reliability Ratio by Carlos Carrion, David Levinson

    Published 2019-05-01
    “…The dominant method for measuring values of travel time savings (VOT) and values of travel time reliability (VOR) is discrete choice modeling. Studies using revealed preference have tended to use travel times measured by devices such as loop detectors, and thus the perception error of travelers has been largely ignored. …”
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    Article
  13. 173

    Suppliers Dynamic Approach to Invest in R&D with Sunk Costs in Indian Contexts by Manoj KUMAR, Jyoti RAMAN, Priya RAMAN

    Published 2015-05-01
    “…We develop and estimate a dynamic discrete choice model where each supplier’s current R&D expenditure is a function, among other factors, of its previous experience in performing R&D activities. …”
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    Article
  14. 174

    The Role of Employment Subcenters in Residential Location Decisions by Eun Joo Cho, Daniel Rodriguez, Yan Song

    Published 2008-11-01
    “…In this paper we employ Mecklenburg County, North Carolina, a polycentric city with 10 employment subcenters, as a case study to explore the role of employment subcenters in determining residential location decisions. We estimate discrete choice models of residential location decisions: conditional logit models and heteroscedastic logit models with both the full choice set and sampled choices. …”
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    Article
  15. 175

    Choice Modeling and Assortment Optimization on the Transformer Model by Jiang, Qingxuan

    Published 2024
    “…This leads to a new class of neural network-based discrete choice models, which we call transformer choice models. …”
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    Thesis
  16. 176

    Las certificaciones de calidad y la internacionalización de las firmas industriales colombianas by Héctor Alberto Botello Peñaloza

    Published 2016-11-01
    “…The methodology used was a discrete choice model on a sample of 10,960 companies. Estimates show that quality certifications have a significant impact on the internationalisation of companies. …”
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    Article
  17. 177

    A review of Machine Learning (ML) algorithms used for modeling travel mode choice by Juan D. Pineda-Jaramillo

    Published 2019-10-01
    “…Then, these different methodologies used by researchers for modeling travel mode choice are collected and compared with the Multinomial Logit Model (MNL) which is the most commonly-used discrete choice model. Finally, the characterization of ML algorithms is discussed and Random Forest (RF), a variant of Decision Tree algorithms, is presented as the best methodology for modeling travel mode choice.…”
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    Article
  18. 178

    Analysis of heterogeneity in the preferences of wine consumption by M. Carolina Rodríguez-Donate, Margarita E. Romero-Rodríguez, Víctor J. Cano-Fernández, Ginés Guirao-Pérez

    Published 2019-06-01
    “…In this paper, several discrete choice models are used to incorporate the unobserved heterogeneity present in individuals’ decisions, such as mixed or latent class models, with the aim of identify the socio-demographics profiles of individuals who consume a certain amount of wine per week. …”
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    Article
  19. 179

    Factors and incentives that affect electric vehicle adoption in Greece by Georgia Mpoi, Christina Milioti, Lambros Mitropoulos

    Published 2023-12-01
    “…In order to analyze the factors that affect the consumers’ intention to purchase private electric vehicles in Attica a questionnaire survey was conducted. Discrete choice models were developed to analyze the factors that influence the intention of users to purchase and willingness to pay extra for an EV compared to a conventional car. …”
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    Article
  20. 180

    New Model of Random Regret Minimization by Caspar G. Chorus

    Published 2010-06-01
    “…Whereas previous regret-based discrete choice-models assume that regret is experienced with respect to only the best of foregone alternatives, the proposed model assumes that regret is potentially experienced with respect to each foregone alternative that performs well. …”
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    Article