scholarly journals Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information

2013 ◽  
Vol 108 (501) ◽  
pp. 177-186 ◽  
Author(s):  
S. M. Schennach ◽  
Yingyao Hu
2006 ◽  
Vol 5 (1) ◽  
Author(s):  
Audrey Light ◽  
Alfonso Flores-Lagunes

AbstractThe value of sibling data for identifying the causal effect of schooling on wages hinges on our ability to eliminate biases due to the mismeasurement of schooling. Analysts typically assume errors in schooling reports are "classical." In this study, we use generalized method of moments to estimate the parameters of a range of measurement error models, including forms of both classical and mean-reverting error models; we estimate the models using a sample of identical twins and a sample of non-twin siblings. The results of likelihood ratio-type tests reveal that variants of classical measurement error models fit both datasets about as well as more flexible models.


Biometrics ◽  
2011 ◽  
Vol 67 (4) ◽  
pp. 1461-1470 ◽  
Author(s):  
Laine Thomas ◽  
Leonard Stefanski ◽  
Marie Davidian

Ecography ◽  
2015 ◽  
Vol 39 (3) ◽  
pp. 305-316 ◽  
Author(s):  
Jorge Velásquez-Tibatá ◽  
Catherine H. Graham ◽  
Stephan B. Munch

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