Fast Simulated Maximum Likelihood Estimation of the Spatial Probit Model Capable of Handling Large Samples

2011 ◽  
Author(s):  
R. Kelley Pace ◽  
James P. LeSage
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Probit Model ◽  
Simulated Maximum Likelihood ◽  
Large Samples ◽  
Spatial Probit

scholarly journals Determinants of persistence in innovation of electronics enterprise in Ho Chi Minh city

2016 ◽  
Vol 19 (2) ◽  
pp. 67-76
Author(s):  
Long Thanh Tran ◽  
Nguyen The Huynh
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Probit Model ◽  
Ho Chi Minh City ◽  
Factors Affecting ◽  
Enterprise Surveys ◽  
Dynamic Probit Model ◽  
Conditional Maximum

This study analyzes the factors affecting the persistence in innovation of enterprises in electronics industry in Ho Chi Minh City using DPM (Dynamic Probit Model) with MLE (Maximum Likelihood Estimation) and CML (Conditional Maximum Likelihood) estimation method. Data are collected from annual enterprise surveys in the period between 2007 and 2013 by GSO. The results show that firm size and foreign ownership affect the persistent innovation of the electronic enterprises in Ho Chi Minh City. This indicates that enterprises in the electronic industry in the upcoming time need to strengthen and enhance size, attract foreign investment to facilitate this innovation performance for the stable and sustainable development

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