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Trimmed Likelihood-based Estimation in Binary Regression Models
P. Cizek
Research Group: Econometrics
Econometrics and OR
Research output
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Working paper
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Discussion paper
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Other research output
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Dive into the research topics of 'Trimmed Likelihood-based Estimation in Binary Regression Models'. Together they form a unique fingerprint.
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Keyphrases
Explanatory Variables
100%
Binary Choice
100%
Monte Carlo Simulation
100%
Regression Model
100%
Logit
100%
Probit
100%
High Breakdown Point
100%
Asymptotic Properties
100%
Trimmed Estimator
100%
Binary Regression Model
100%
M-estimation
100%
Robust Estimator
100%
Bias Correction
100%
Point Method
100%
Maximum Likelihood Method
100%
Binary Choice Model
100%
Non-identification
100%
Robust Property
100%
Likelihood-based Estimation
100%
Mathematics
Regression Model
100%
Explanatory Variable
50%
Asymptotics
50%
Monte Carlo
50%
Breakdown Point
50%
Maximum Likelihood Method
50%
Likelihood Estimator
50%
M-Estimation
50%
Robust Estimator
50%
Outlier
50%
Economics, Econometrics and Finance
Monte Carlo Simulation
100%
Outlier
100%