Results 61 to 70 of about 9,370 (261)

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
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

Revisiting McFadden’s correction factor for sampling of alternatives in multinomial logit and mixed multinomial logit models

open access: yesTransportation Research Part B: Methodological
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.
openaire   +3 more sources

Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia

open access: yesAustralian Journal of Social Issues, EarlyView.
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

open access: yesAsian Journal of Mathematics & Statistics, 2010
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.
openaire   +3 more sources

Can Carbon Strategy Enhance Corporate Productivity? Evidence From Carbon Risk and Opportunity Management

open access: yesBusiness Strategy and the Environment, EarlyView.
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]

open access: yesSSRN Electronic Journal, 2012
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.
openaire   +1 more source

What Constitutes an Attractive Product‐as‐a‐Service Offer? Examining Consumer Preferences for (Circular) Business Patterns

open access: yesBusiness Strategy and the Environment, EarlyView.
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

open access: yesCoRR, 2020
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.
openaire   +2 more sources

Comparing discrete choice and machine learning models in predicting destination choice

open access: yesEuropean Transport Research Review
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

open access: yesBusiness Strategy and the Environment, EarlyView.
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

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