scholarly journals Extremum sieve estimation in k-out-of-n systems

2016 ◽  
Vol 46 (10) ◽  
pp. 4915-4931 ◽  
Author(s):  
Tatiana Komarova
Keyword(s):  
1992 ◽  
Vol 8 (4) ◽  
pp. 452-475 ◽  
Author(s):  
Jeffrey M. Wooldridge

A test for neglected nonlinearities in regression models is proposed. The test is of the Davidson-MacKinnon type against an increasingly rich set of non-nested alternatives, and is based on sieve estimation of the alternative model. For the case of a linear parametric model, the test statistic is shown to be asymptotically standard normal under the null, while rejecting with probability going to one if the linear model is misspecified. A small simulation study suggests that the test has adequate finite sample properties, but one must guard against over fitting the nonparametric alternative.


2015 ◽  
Vol 44 (2) ◽  
pp. 187-201 ◽  
Author(s):  
Mihee Lee ◽  
Ling Wang ◽  
Haipeng Shen ◽  
Peter Hall ◽  
Guang Guo ◽  
...  

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