Bernoulli Regression Models: Revisiting the Specification of Statistical Models with Binary Dependent Variables
| dc.contributor.author | Bergtold, Jason S. | en |
| dc.contributor.author | Spanos, Aris | en |
| dc.contributor.author | Onukwugha, Eberechukwu | en |
| dc.date.accessioned | 2024-02-20T20:25:24Z | en |
| dc.date.available | 2024-02-20T20:25:24Z | en |
| dc.date.issued | 2010 | en |
| dc.description.abstract | The latent variable and generalized linear modelling approaches do not provide a systematic approach for modelling discrete choice observational data. Another alternative, the probabilistic reduction (PR) approach, provides a systematic way to specify such models that can yield reliable statistical and substantive inferences. The purpose of this paper is to re-examine the underlying probabilistic foundations of conditional statistical models with binary dependent variables using the PR approach. This leads to the development of the Bernoulli Regression Model, a family of statistical models, which includes the binary logistic regression model. The paper provides an explicit presentation of probabilistic model assumptions, guidance on model specification and estimation, and empirical application. | en |
| dc.description.version | Published version | en |
| dc.format.extent | Pages 1-28 | en |
| dc.format.extent | 28 page(s) | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1016/S1755-5345(13)70033-2 | en |
| dc.identifier.issn | 1755-5345 | en |
| dc.identifier.issue | 2 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/118069 | en |
| dc.identifier.volume | 3 | en |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.rights | Creative Commons Attribution-NonCommercial 2.0 UK | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/2.0/uk/ | en |
| dc.subject | Bernoulli Regression Model | en |
| dc.subject | Generalized Linear Models | en |
| dc.subject | Latent Variable Models | en |
| dc.subject | Logistic Regression | en |
| dc.subject | Model Specification | en |
| dc.subject | Probabilistic Reduction Approach | en |
| dc.title | Bernoulli Regression Models: Revisiting the Specification of Statistical Models with Binary Dependent Variables | en |
| dc.title.serial | Journal of Choice Modelling | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| dc.type.other | Article | en |
| dc.type.other | Journal | en |
| pubs.organisational-group | /Virginia Tech | en |
| pubs.organisational-group | /Virginia Tech/Science | en |
| pubs.organisational-group | /Virginia Tech/Science/Economics | en |
| pubs.organisational-group | /Virginia Tech/All T&R Faculty | en |
| pubs.organisational-group | /Virginia Tech/Science/COS T&R Faculty | en |