Heckman-type selection modelLow birth weightAntenatal supplementationHealth and demographic surveillance systemCôte d’IvoireMap of the Taabo health and demographic surveillance system (HDSS) in south-central Cte d'Ivoiredoi:10.1186/s12874-019-0840-7Siaka Koné...
(2016), Impatient in Experiments, but Patient in Simulations: A Challenge to the Heckman-Type Model. Economic Record. doi: 10.1111/1475-4932.12244 Author Information 1 Department of Economics, American University of Sharjah, UAE 2 Deakin University, Geelong, Victoria, Australia *Correspondence: Xueli...
"Consistency of Heckman-Type Two-Step Estimators for the Multivariate Sample-Selection Model", Applied Economics, Vol. 42; 3895-3902... H Tauchmann - 《Applied Economics》 被引量: 0发表: 2006年 A Kin Selection Model for the Evolution of Virulence The costs and benefits of parasite virulence...
Consistency of Heckman-type two-step estimators for the multivariate sample-selection model. Appl. Econ. 2010, 42, 3895-3902. [CrossRef]Tauchmann, Harald (2010). "Consistency of Heckman-Type Two-Step Estimators for the Multivariate Sample-Selection Model", Applied Economics, Vol. 42; 3895-...
It is found that the best fit value of (Ω m ) 0 , (ΩΛ ) 0 and (Ωσ ) 0 are 0.2940, 0.7058 and 0.0002, respectively, and the derived model represents the features of an accelerating universe which is consistent with the recent astrophysical observations....
One area where this type of model has been extensively used is the applied food demand analysis. As a consequence the derived demand elasticities are no longer valid. In this paper the appropriate expressions for demand elasticities are derived and are applied to 23 food items using family ...
(2010), Consistency of Heckman-type two-step estimators for the multivariate sample- selection model, Applied Economics, 42, 3895-3902.Tauchmann, Harald (2010). "Consistency of Heckman-Type Two-Step Estimators for the Multivariate Sample-Selection Model", Applied Economics, Vol. 42; 3895-3902...
The Heckman selection model is widely used to analyse data for which the outcome is partially observable, and the missing part is not random. The 2-step method, maximum likelihood estimation (MLE), and EM algorithms have been developed to analyse this model; however, they have certain ...
The Heckman selection model is widely used to deal with selectivity problems. Based on the EM algorithm, Zhao et al. (2020) developed three algorithms, namely, ECM, ECM(NR), and ECME(NR), which also have the EM algorithm's main advantages: stability and ease of impleme...
The Heckman selection model is widely used to analyse data for which the outcome is partially observable, and the missing part is not random. The 2-step method, maximum likelihood estimation (MLE), and EM algorithms have been developed to analyse this model; however, they have certain limitatio...