Estimation of seemingly unrelated tobit regressions via the em algorithm
| dc.contributor.author | Sloan, FA | |
| dc.contributor.author | Huang, C | |
| dc.contributor.author | Adamache, K | |
| dc.date.accessioned | 2010-03-09T15:27:58Z | |
| dc.date.issued | 1987-01-01 | |
| dc.description.abstract | An expectation-maximum (EM) likelihood algorithm is used to estimate two seemingly unrelated Tobit regressions in which the dependent variables are truncated normal. An illustrative example on the determination of the life-health insurance and pension benefits is also given. © 1987 American Statistical Association. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.eissn | 1537-2707 | |
| dc.identifier.issn | 0735-0015 | |
| dc.identifier.uri | ||
| dc.language.iso | en_US | |
| dc.publisher | Informa UK Limited | |
| dc.relation.ispartof | Journal of Business and Economic Statistics | |
| dc.relation.isversionof | 10.1080/07350015.1987.10509607 | |
| dc.title | Estimation of seemingly unrelated tobit regressions via the em algorithm | |
| dc.type | Journal article | |
| pubs.begin-page | 425 | |
| pubs.end-page | 430 | |
| pubs.issue | 3 | |
| pubs.organisational-group | Center for Child and Family Policy | |
| pubs.organisational-group | Center for Population Health & Aging | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Population Research Center | |
| pubs.organisational-group | Duke Population Research Institute | |
| pubs.organisational-group | Economics | |
| pubs.organisational-group | Global Health Institute | |
| pubs.organisational-group | Institute of Public Policy | |
| pubs.organisational-group | Institutes and Provost's Academic Units | |
| pubs.organisational-group | Public Policy Studies | |
| pubs.organisational-group | Sanford School of Public Policy | |
| pubs.organisational-group | School of Nursing | |
| pubs.organisational-group | School of Nursing - Secondary Group | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.organisational-group | University Institutes and Centers | |
| pubs.publication-status | Published | |
| pubs.volume | 5 |
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