Interpreting discrete choice models:
In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the ef...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2022
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| Online-Zugang: | BSB01 UBG01 URL des Erstveröffentlichers |
| Zusammenfassung: | In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the "substantive effects") of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 07 Apr 2022) |
| Beschreibung: | 1 Online-Ressource (76 Seiten) |
| ISBN: | 9781108873000 |
| DOI: | 10.1017/9781108873000 |
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| 520 | |a In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the "substantive effects") of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here | ||
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| spelling | Glasgow, Garrett 1971- (DE-588)1260075257 aut Interpreting discrete choice models Garrett Glasgow Cambridge Cambridge University Press 2022 1 Online-Ressource (76 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 07 Apr 2022) In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the "substantive effects") of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here Statistical decision Decision making / Mathematical models Erscheint auch als Druck-Ausgabe 978-1-108-81940-4 https://doi.org/10.1017/9781108873000 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Glasgow, Garrett 1971- Interpreting discrete choice models Statistical decision Decision making / Mathematical models |
| title | Interpreting discrete choice models |
| title_auth | Interpreting discrete choice models |
| title_exact_search | Interpreting discrete choice models |
| title_exact_search_txtP | Interpreting discrete choice models |
| title_full | Interpreting discrete choice models Garrett Glasgow |
| title_fullStr | Interpreting discrete choice models Garrett Glasgow |
| title_full_unstemmed | Interpreting discrete choice models Garrett Glasgow |
| title_short | Interpreting discrete choice models |
| title_sort | interpreting discrete choice models |
| topic | Statistical decision Decision making / Mathematical models |
| topic_facet | Statistical decision Decision making / Mathematical models |
| url | https://doi.org/10.1017/9781108873000 |
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