Results 61 to 70 of about 9,370 (261)
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
In this paper, we revisit McFadden (1978)'s correction factor for sampling of alternatives in multinomial logit (MNL) and mixed multinomial logit (MMNL) models. McFadden (1978) proved that consistent parameter estimates are obtained when estimating MNL models using a sampled subset of alternatives, including the chosen alternative, in combination with ...
Dekker, T., Bansal, P., Huo, J.
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Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia
ABSTRACT Primary caregivers constitute a major unpaid workforce in Australia. The aim of this study was to determine the sociodemographic factors that are associated with carer workloads. Multinomial logistic regression modelling was applied to the nation‐wide Australian Government survey.
Andrew J. Hamilton
wiley +1 more source
Estimating Multinomial Logit Model with Multicollinear Data
The multinomial model is used to study the dependence relationship between a categorical response variable with more than two categories and a set of explicative variables. In presence of multicollinearity, the estimation of the multinomial model parameters becomes inaccurate.
CAMMINATIELLO, Ida, Lucadamo A.
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ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source
A New Condition for Pooling States in Multinomial Logit [PDF]
The Cramer-Ridder test is a popular procedure for testing if some outcome states can be pooled into one state in the multinomial logit model. This note shows that, in the presence of binary regressors, the test is overly stringent and poolability may not be tested unambiguously.
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ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini +5 more
wiley +1 more source
Learning an arbitrary mixture of two multinomial logits
In this paper, we consider mixtures of multinomial logistic models (MNL), which are known to $ε$-approximate any random utility model. Despite its long history and broad use, rigorous results are only available for learning a uniform mixture of two MNLs. Continuing this line of research, we study the problem of learning an arbitrary mixture of two MNLs.
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Comparing discrete choice and machine learning models in predicting destination choice
Destination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
doaj +1 more source
Out of Sight, Out of Mind: Digitalization's Double Role in Driving Sustainable Transition
ABSTRACT This paper investigates the role of digitalization in overcoming organizational barriers to sustainability. Drawing on the attention‐based view (ABV) theory, the study examines how digitalization, as a contextual condition, shapes the allocation of managerial attention, influences the perception of sustainability barriers, and ultimately ...
Zahra Ahmadi‐Gh +1 more
wiley +1 more source

