Spatial limited dependent variable models: A review focused on specification, estimation, and health economics applications

AG Billé, G Arbia - Journal of Economic Surveys, 2019 - Wiley Online Library
Modeling individual choices is one of the main aim in microeconometrics. Discrete choice
models have been widely used to describe economic agents' utility functions and most of …

New matrix-based methods for the analytic evaluation of the multivariate cumulative normal distribution function

CR Bhat - Transportation Research Part B: Methodological, 2018 - Elsevier
In this paper, we develop a new matrix-based implementation of the Mendell and Elston
(ME) analytic approximation to evaluate the multivariate normal cumulative distribution …

[HTML][HTML] A general framework to forecast the adoption of novel products: A case of autonomous vehicles

S Dubey, I Sharma, S Mishra, O Cats… - … research part B …, 2022 - Elsevier
Due to the unavailability of prototypes, the early adopters of novel products actively seek
information from multiple sources (eg, media and social networks) to minimize the potential …

Spatio-temporal modeling of parcel-level land-use changes using machine learning methods

E Tepe, A Safikhani - Sustainable Cities and Society, 2023 - Elsevier
Spatio-temporal modeling of parcel-level land development dynamics is essential to
maintain sustainable urban growth. Modeling parcel-level urban development controlling …

Cumulative attraction and spatial dependence in a destination choice model for beach recreation

Y Matthews, R Scarpa, D Marsh - Tourism Management, 2018 - Elsevier
The destination choices of individual recreationalists are dependent on the spatial
distribution of sites and attractions. An important issue in destination choice modelling is …

Machine learning application to spatio-temporal modeling of urban growth

Y Kim, A Safikhani, E Tepe - Computers, Environment and Urban Systems, 2022 - Elsevier
Understanding the dynamics of urban growth is among the most important tasks in urban
planning due to their influence on policy decision-making. Specifically, prediction of urban …

Spatial Autocorrelation in Econometric Land Use Models: An Overview

R Chakir, J Le Gallo - … Statistics and Econometrics: Festschrift in Honor of …, 2021 - Springer
This chapter provides an overview of the literature on econometric land use models
including spatial autocorrelation. These models are useful to analyze the determinants of …

History, neighborhood, and proximity as factors of land-use change: A dynamic spatial regression model

E Tepe - Environment and Planning B: Urban Analytics and …, 2024 - journals.sagepub.com
Spatio-temporal land-use change (LUC) modeling provides vital information about land
development dynamics. However, accounting for such dynamics faces methodological …

The value of leisure time of weekends and long holidays: the multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints

K Kuriyama, Y Shoji, T Tsuge - Journal of choice modelling, 2020 - Elsevier
In this study, we apply the multiple discrete–continuous extreme value (MDCEV) model with
triple constraints to identify the value of leisure time during weekends and long holidays. Our …

Spatio-temporal multinomial autologistic modeling of land-use change: A parcel-level approach

E Tepe, JM Guldmann - … and Planning B: Urban Analytics and …, 2020 - journals.sagepub.com
Land-use change models that accurately replicate the complex dynamics of land
development provide vital information for urban planning and policy. These models require …