Vargas Barrenechea, Martin (2007): First Derivatives of the log-L for the multivariate probit model.
This is the latest version of this item.
|
PDF
MPRA_paper_5302.pdf Download (125Kb) | Preview |
Abstract
In this work we found first derivatives for the log likelihood function of the multivariate probit model.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | First Derivatives of the log-L for the multivariate probit model |
| Language: | English |
| Keywords: | PROBIT; ECONOMETRICS; DISCRETE CHOICE |
| Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C35 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions C - Mathematical and Quantitative Methods > C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling > C63 - Computational Techniques; Simulation Modeling C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General |
| Item ID: | 5302 |
| Depositing User: | MH Vargas |
| Date Deposited: | 13. Oct 2007 |
| Last Modified: | 22. Feb 2013 11:39 |
| References: | @article{greene2000eae, title={{Econometric Analysis (ed.)}}, author={Greene, W.H.}, pages = {850}, journal={Upper Saddle River}, year={2000} } |
| URI: | http://mpra.ub.uni-muenchen.de/id/eprint/5302 |
Available Versions of this Item
-
First Derivatives of the log-L for the multivariate probit model. (deposited 09. Oct 2007)
- First Derivatives of the log-L for the multivariate probit model. (deposited 13. Oct 2007) [Currently Displayed]


