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Yu, S.H. and Zhang, J. (2016) The Study on Prediction of Residents Consumption Expenditure based on Lasso and BP Neural Network. The Theory and Practice of Finance and Economics, 37, 123-128.

has been cited by the following article:

• TITLE: Prediction of Rural Residents’ Consumption Expenditure Based on Lasso and Adaptive Lasso Methods

  AUTHORS: Xiaoting Tao, Haomin Zhang

  KEYWORDS: Lasso Method, Adaptive Lasso Method, Consumption, Prediction

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.6, December 27, 2016

  ABSTRACT: 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.