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Hiroaki Masuhara
 
''Semi-nonparametric estimation of regression-based survival models''
( 2007, Vol. 3 No.61 )
 
 
To estimate survival data with unobserved heterogeneity, this paper proposes the generalized lognormal survival analysis using Hermite polynomials and the Box-Cox transformation. The General Social Survey (GSS) in 2002 demonstrates good performance of the proposed model.
 
 
Keywords:
JEL: C2 - Single Equation Models; Single Variables: General
 
Manuscript Received : Oct 12 2007 Manuscript Accepted : Nov 14 2007

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