Data · dataset · 2004
The Impact of Information and its Importance toward the Random Utility Models with Heterogeneous Preference
Listed in Harvard Dataverse
Random utility models are often used to model consumers’ choice behavior of commodity, house, transportation, and recreation.
Description
The main reason of using the random utility model is its great ability handling substitutes. Misspecification of the choice set, which is relevant to the substitutes, will bias the parameter and welfare estimates.
Literature about the choice set definition can be classified into two groups: the endogenous choice sets and the exogenous choice sets. The former defines the choice set by the researcher because of lack of the information about the consumers’ choice set, while the latter uses consumers’ information to define the choice sets. So far the researches are all based on two important assumptions.
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The first assumption is that all consumers have the same preference about the characteristics of the choices. The second assumption is the independent from irrelevant alternatives assumption. Neither is realistic.
Therefore, this study relaxes these two important assumptions. In other words, this study explores the impacts of the choice set definition toward the parameter and welfare estimates under heterogeneous preference and richer substitutability. The choice set definitions studied include the familiar set, the full set and the distance-based set.
Single variant heterogeneous preference and multivariate heterogeneous preference are both studied. The purpose of this study is to model consumers’ discrete choice behavior more practically.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E91011-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e91011-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E91011-1 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |