When the variable of model is large, the Lasso method and the Adaptive Lasso method can effectively select variables. This paper prediction the rural residents’ consumption expenditure in China, based on respectively...When the variable of model is large, the Lasso method and the Adaptive Lasso method can effectively select variables. This paper prediction the rural residents’ consumption expenditure in China, based on respectively using the Lasso method and the Adaptive Lasso method. The results showed that both can effectively and accurately choose the appropriate variable, but the Adaptive Lasso method is better than the Lasso method in prediction accuracy and prediction error. It shows that in variable selection and parameter estimation, Adaptive Lasso method is better than the Lasso method.展开更多
This research investigates a broad range of possible factors affecting the adoption of new technology in the banking industry using adaptive LASSO and a standard logit model.The research integrated the adoption of the...This research investigates a broad range of possible factors affecting the adoption of new technology in the banking industry using adaptive LASSO and a standard logit model.The research integrated the adoption of the innovation framework and the technology acceptance theory to develop a conceptual framework for the analysis.Primary data was collected from 400 bank customers in North Cyprus.Risk perception and other customerspecific factors such as perceived risk index and negative attitude toward new technologies index were formulated for the proposed conceptual model.The findings indicated that individuals with a negative attitude toward new technology are least likely to adopt internet banking.In addition,the logit model suggested that age,education level,and general(innate)innovativeness significantly impact the adoption of internet banking.However,gender,income,occupation,perceived risk,familiarity with the internet,and social inclusion have no significant impact on internet banking adoption in North Cyprus.展开更多
文摘When the variable of model is large, the Lasso method and the Adaptive Lasso method can effectively select variables. This paper prediction the rural residents’ consumption expenditure in China, based on respectively using the Lasso method and the Adaptive Lasso method. The results showed that both can effectively and accurately choose the appropriate variable, but the Adaptive Lasso method is better than the Lasso method in prediction accuracy and prediction error. It shows that in variable selection and parameter estimation, Adaptive Lasso method is better than the Lasso method.
文摘This research investigates a broad range of possible factors affecting the adoption of new technology in the banking industry using adaptive LASSO and a standard logit model.The research integrated the adoption of the innovation framework and the technology acceptance theory to develop a conceptual framework for the analysis.Primary data was collected from 400 bank customers in North Cyprus.Risk perception and other customerspecific factors such as perceived risk index and negative attitude toward new technologies index were formulated for the proposed conceptual model.The findings indicated that individuals with a negative attitude toward new technology are least likely to adopt internet banking.In addition,the logit model suggested that age,education level,and general(innate)innovativeness significantly impact the adoption of internet banking.However,gender,income,occupation,perceived risk,familiarity with the internet,and social inclusion have no significant impact on internet banking adoption in North Cyprus.
