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Persistent link: https://www.econbiz.de/10009512500
In innovation analysis the logit model used to be applied on available data when the dependent variables are dichotomous. Since most of the economic variables are correlated between each other practitioners often meet the problem of multicollinearity. This paper introduces a shrinkage estimator...
Persistent link: https://www.econbiz.de/10009324205
Persistent link: https://www.econbiz.de/10012507922
Persistent link: https://www.econbiz.de/10013548830
A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical maximum likelihood (ML) method in the...
Persistent link: https://www.econbiz.de/10009225860
Purpose – There is now a large amount of literature on immigrants' relative earnings and immigrants' earnings assimilation in different countries. This paper aims to contribute to international research, since the paper investigates the earnings gap between different groups of immigrants and...
Persistent link: https://www.econbiz.de/10010666609
This paper introduces a shrinkage estimator for the logit model which is a generalization of the estimator proposed by Liu (1993) for the linear regression. This new estimation method is suggested since the mean squared error (MSE) of the commonly used maximum likelihood (ML) method becomes...
Persistent link: https://www.econbiz.de/10011048945
In ridge regression the estimation of the ridge parameter is an important issue. This paper generalizes some methods for estimating the ridge parameter for probit ridge regression (PRR) model based on the work of Kibria et al. (2011). The performance of these new estimators are judged by...
Persistent link: https://www.econbiz.de/10009645804
In this paper we have reviewed some existing and proposed some new estimators for estimating the ridge parameter "k" . All in all 19 different estimators have been studied. The investigation has been carried out using Monte Carlo simulations. A large number of different models were investigated...
Persistent link: https://www.econbiz.de/10009150727
The standard statistical method for analyzing count data is the Poisson regression model, which is usually estimated using maximum likelihood (ML). The ML method is very sensitive to multicollinearity. Therefore, we present a new Poisson ridge regression estimator (PRR) as a remedy to the...
Persistent link: https://www.econbiz.de/10009150729