semml
semml: Algorithm for the estimation of a simultaneous equation model by maximum likelihood and optimal B-robust methods. A stacked ascii file. The procedures are presented and discussed in the paper: Robust estimators for simultaneous equations models. This paper presents a class of robust estimators for linear and non-linear simultaneous equations models, which are a direct generalization of the maximum likelihood estimator. The new estimators are obtained as solutions of a generalized likelihood equation. They are resistant to deviations from the model distribution, to outlying observations, and to some model misspecifications. An optimality principle leads to the construction of an optimal robust estimator which is the best trade-off between efficiency at the model and robustness.
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References in zbMATH (referenced in 13 articles , 1 standard article )
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Sorted by year (- Čížek, Pavel: Generalized method of trimmed moments (2016)
- Čížek, Pavel: Semiparametric robust estimation of truncated and censored regression models (2012)
- Krishnakumar, Jaya; Kabili, Andi; Roko, Ilir: Estimation of SEM with GARCH errors (2012)
- Čížek, Pavel: Semiparametrically weighted robust estimation of regression models (2011)
- Kim, Tae-Hwan; Muller, Christophe: Two-stage Huber estimation (2007)
- Sakata, Shinichi: Instrumental variable estimation based on conditional median restriction (2007)
- Andreou, Panayiotis C.; Charalambous, Chris; Martzoukos, Spiros H.: Robust artificial neural networks for pricing of European options (2006)
- Gagliardini, Patrick; Trojani, Fabio; Urga, Giovanni: Robust GMM tests for structural breaks (2005)
- Ortelli, Claudio; Trojani, Fabio: Robust efficient method of moments (2005)
- Ortelli, C.; Trojani, F.: Robust efficient method of moments estimation (2004)
- Chakraborty, Biman: On multivariate quantile regression (2003)
- Ronchetti, Elvezio; Trojani, Fabio: Robust inference with GMM estimators (2001)
- Krishnakumar, J.; Ronchetti, E.: Robust estimators for simultaneous equations models (1997)