Modeling Ordered Choices: A Primer

By William H. Greene, David A. Hensher. 2010

893 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/c867bfc8b120fa0f3df7e7f82d75a16663d6d27c

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Citations in the corpus

Blame the Bot: Anthropomorphism and Anger in Customer–Chatbot Interactions (2021, methodology): “To account for the ordinal nature of our data and the sample selection, we used an extended ordinal probit model, which estimates the probit selection and the ordinal satisfaction ratings equations simultaneously and with correlated errors (Greene and Hensher 2010).”
The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models (2014, methodology): “The reader is referred to Greene and Hensher (2010) and Eluru et al. (2008).”
Does sport make you happy? An analysis of the well‐being derived from sports participation (2011, methodology): “An important feature of the ordered choice model is that the threshold parameters have no obvious interpretation, although they can indicate something about the distribution of preferences of individuals (Greene and Hensher 2010). As these threshold values are unlikely to be the same for all individ”
A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections (2011, background): “Similarly, the use of the standard normal distribution rather than a non-standard normal distribution for the error term is also an innocuous normalization (see Zavoina and McKelvey, 1975; Greene and Hensher, 2010).”
Financial Literacy and the Demand for Financial Advice (2015, neutral): “…by individual i, where: Di = 1 : investor i decides completely by herself, the bank simply executes her decisions Di = 2 : investor i tells the bank/advisor how she intends to invest and asks their opinion before deciding 16See Greene and Hensher (2010); Boes and Winkelmann (2006); Terza (1985).”
Micro-Foundations of Firm-Specific Human Capital: When Do Employees Perceive Their Skills to be Firm-Specific? (2016, positive): “Third, given the panel structure of theKLIPS datawe estimated a random effects ordered probit (using the “reoprob” command [Frechette, 2001] in STATA 12.1) which accounts for the panel nature of the data and individual unobserved heterogeneity (Greene & Hensher, 2010).”
Comparing Coefficients of Nested Nonlinear Probability Models (2011, background): “With ape, the calculated difference is not constant across outcomes; this is a well-known property of ordered choice models (see Greene and Hensher [2010]).”
Modelling user perception of bus transit quality considering user and service heterogeneity (2014, background): “This scale is related with the unobservable utility Qi in Equation (1) by the definition of intervals (Greene and Hensher 2010).”