If the error terms are normally distributed, use FIML
, otherwise perform ISUR method to estimate the coefficient of effects.
0820) Part-time employees Skilled blue-collar workers Temporary workers Establishment size Establishment size squared Establishment age Expansion plan Overtime Active Owner Collective bargaining Industry dummies Yes Yes N 219 339 Log likelihood LR test of independent equations Method: FIML
Table 9: FIML
selection correction model results 2004 Females Males Wage equation Elementary school 0.
is a preferred method of model estimation for SEMs with missing data (Allison, 2003), and estimating models with missing data rather than using listwise deletion is preferable when data do not appear to be missing completely at random (MCAR) (Allison, 2003; Graham, 2009; Schafer & Graham, 2002).
allows the estimation to proceed using all available data by breaking down the likelihood function into components on the basis of the patterns of missing data.
The development of an FIML
bivariate probit model that accounts for this complexity, however, is beyond the scope of this paper.
Les donnees manquantes ont ete traitees par le biais de l'algorithme FIML
As an extension of maximum likelihood, FIML
takes advantage of all possible data points in analysis.
uses all available data to estimate model parameters and is conceptually related to using pairwise available cases.
Compared to the instrumental variables methods (2SLS and 3SLS), the FIML
method has these advantages and disadvantages:
is a state-of-the-art missing data estimation approach for structural equation modeling.
Thus, in this paper we use the FIML
to fit binary and continuous parts simultaneously in order to yield consistent standard errors.