| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A cross-sectional exploration of labor supply, gender, and household wealth in urban China
|
Han, Xuehui
|
|
|
48 |
C |
p.
|
artikel
|
| 2 |
A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior
|
Kazagli, Evanthia
|
|
|
48 |
C |
p.
|
artikel
|
| 3 |
A randomized group approach to identifying label effects
|
McFadden, Brandon R.
|
|
|
48 |
C |
p.
|
artikel
|
| 4 |
Climate change adaptation preferences of winemakers from the Rioja wine appellation
|
Vega-Bayo, Ainhoa
|
|
|
48 |
C |
p.
|
artikel
|
| 5 |
Consumer preferences for country of origin labeling: Bridging the gap between research estimates and real-world behavior
|
Kassas, Bachir
|
|
|
48 |
C |
p.
|
artikel
|
| 6 |
Editorial Board
|
|
|
|
48 |
C |
p.
|
artikel
|
| 7 |
Formative versus reflective attitude measures: Extending the hybrid choice model
|
Rose, J.M.
|
|
|
48 |
C |
p.
|
artikel
|
| 8 |
How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices
|
Sokratous, Konstantina
|
|
|
48 |
C |
p.
|
artikel
|
| 9 |
Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam
|
Trinh, Tra Thi
|
|
|
48 |
C |
p.
|
artikel
|
| 10 |
NP4VTT: A new software for estimating the value of travel time with nonparametric models
|
Hernández, José Ignacio
|
|
|
48 |
C |
p.
|
artikel
|
| 11 |
One or two-step? Evaluating GMM efficiency for spatial binary probit models
|
Piras, Gianfranco
|
|
|
48 |
C |
p.
|
artikel
|
| 12 |
Preference estimation from point allocation experiments
|
Collewet, Marion
|
|
|
48 |
C |
p.
|
artikel
|
| 13 |
Reducing sample size requirements by extending discrete choice experiments to indifference elicitation
|
Sriwastava, Ambuj
|
|
|
48 |
C |
p.
|
artikel
|
| 14 |
Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks
|
Liu, Yicong
|
|
|
48 |
C |
p.
|
artikel
|
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