A consistent model specification test for a partial linear model with covariates missing at random

2012 ◽  
Vol 24 (4) ◽  
pp. 841-856
Author(s):  
Tianfa Xie ◽  
Zhihua Sun ◽  
Liuquan Sun
Keyword(s):  
Linear Model ◽  
Missing At Random ◽  
Model Specification ◽  
Partial Linear Model ◽  
Specification Test ◽  
Consistent Model ◽  
Model Specification Test ◽  
Partial Linear

A Consistent Model Specification Test for Nonparametric Estimation of Regression Function Models

1993 ◽  
Vol 9 (3) ◽  
pp. 451-477 ◽  
Author(s):  
Pedro L. Gozalo
Keyword(s):  
General Framework ◽  
Time Series Data ◽  
Regression Function ◽  
Model Specification ◽  
Series Data ◽  
Specification Test ◽  
Specification Testing ◽  
Consistent Model ◽  
Model Specification Test ◽  
Function Models

This paper proposes a general framework for specification testing of the regression function in a nonparametric smoothing estimation context. The same analysis can be applied to cases as varied as testing for omission of variables, testing certain nonlinear restrictions in the regressors, and testing the correct specification of some parametric or semiparametric model of interest, for example, testing a certain type of nonlinearity of the regression function. Furthermore, the test can be applied to i.i.d. and time-series data, and some or all of the regressors are allowed to be discrete. A Monte Carlo simulation is used to assess the performance of the test in small and medium samples.

Energy consumption and economic growth in China’s marine economic zones-an estimation based on partial linear model

Energy ◽  
2020 ◽  
Vol 205 ◽  
pp. 118028 ◽  
Author(s):  
Wang Tao ◽  
He Guang-shun ◽  
Guo Jing ◽  
Yin Yue ◽  
Li Lin-lin
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Linear Model ◽  
Partial Linear Model ◽  
Partial Linear ◽  
Economic Zones
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