Some propositions in the maximum likelihood estimation of truncated regression models
Year of publication: |
2019
|
---|---|
Authors: | Kouassi, Eugène ; Akinkugbe, Oluyele F. ; Lexi, Sethlare ; Amba, Claude Oyon Marius |
Published in: |
The empirical economics letters : a monthly international journal of economics. - Rajshahi, ISSN 1681-8997, ZDB-ID 2560109-X. - Vol. 18.2019, 6, p. 671-689
|
Subject: | Propositions | Maximum Likelihood Estimation | Truncated regression models | Marginal effects and Related Measures | Schätztheorie | Estimation theory | Regressionsanalyse | Regression analysis | Maximum-Likelihood-Schätzung | Maximum likelihood estimation |
-
The MLE of Aigner, Amemiya, and Poirier is not the expectile MLE
Philipps, Collin S., (2022)
-
Jobin, M. V., (2021)
-
Inferenz im linearen Regressionsmodell mit ungleichungsrestringierten Parametern
Knautz, Henning, (2000)
- More ...
-
Climate uncertainty and agricultural soil conservation investment decisions
Ouattara, Pierre D., (2018)
-
Kouassi, Eugène, (2018)
-
Is the intergenerational transmission of poverty a fallacy? : evidence from Botswana survey data
Kouassi, Eugène, (2022)
- More ...