Due to this, in this work the analysis is based on the polychromic correlation matrix and using the estimation method of adjusted weighted least squares means and variance (WLSMV), along with the probit function to obtain the estimations of the appropriate parameters of the ordinal variables.

Data with ordinal responses (five categories) were fit by using a probit model through the WLSMV estimation method with probit function.

From the analysis of fragility data, a

probit function can be easily developed.

The second regression is an unemployment

probit function, where the probability of being unemployed is a function of personal characteristics (X) and district dummy variables (D).

80), the simultaneous-equations approach using instrumental variables taken in Magee (2003) will yield inconsistent coefficient estimates in the second-stage gravity equation unless the (first-stage)

probit function "happens to be exactly right.

Due to the sigmoidal shape of the

probit function, it should be noted that the calculated marginal effects at the means are likely to become smaller with successive incremental increases in government benefit income (Aldrich and Nelson, 1984).

Although it is unknown a priori which people will eventually make the transition, a

probit function can be estimated to describe the probability that any individual will do so.

13) Estimates of the

probit function are reported in Appendix Table A1.

Consider the following explanations for the increasing intercept in the

probit function for married mothers.

The following

probit function is estimated by maximum likelihood:

To correct this, we first estimate a

probit function to predict the probability that an individual is in the wage sector.

In particular, separate

probit functions for school enrolment are estimated for different headship scenarios.