*! version 1.0.0 21Jul2010
help neoclassical

Title

neoclassical -- estimates neoclassical education transitions model

Syntax

neoclassical Y1 "TC1" "TV1Names" "Exclusions" Y1Independent
Y2 "TC1" "TV2Names" Y2Independent deff [cluster] ;

Description

neoclassical estimates a bivariate probit model with selection with coefficients
re-scaled to facilitate cross-equation testing for equality. It is termed
neoclassical for it is a variant of the neoclassical education transitions framework
proposed in Lucas, Fucella, and Berends (2011). Note that the first transition
appears in the second equation in the output. Yet, in specifying the model the
temporally earlier transition is always regarded as the first transition. The
estimates are the re-scaled coefficients and the appropriate standard errors. Any
subsequent statistical tests will use this second set of results. A related command,
retroclassical, estimates a neoclassical education transitions model while
fixing the cross-equation error variance at zero. This provides the result one would
obtain by calibrating the coefficients across transitions, yet not accounting for
selection. Thus, it is a mid-way point between a neoclassical approach and the
classical approach.

Y1 is the outcome variable for the first transition--this is the selection
equation for the second transition

"TC1" contains the list of time constant variables; these should be common
across the first and second equations. The set of variables should be in quotes
both times they are listed, and in the same exact order.

"TV1Names" contains the names of the variables that have specific values for the
first transition (and possibly different values for the second transition). The set
of variables should be in quotes

"Exclusions" are those variables in the selection equation that are not in the
equation for the second transition. An explicit category is made for these variables
to reinforce the necessity of having such variables to identify the selection process.
The set of variables should be in quotations, even if it is only 1 variable

Y1Independent is the total number of independent variables in the first equation

Y2 is the outcome variable for the second transition--this is the last of the
two transitions

"TV2Names" contains the variables that have specific values for the second
transition (and possibly different values for the first transition). These variables
should be in quotes

Y2Independent is the total number of independent variables in the second
transition equation

deff MUST be supplied. It is a design effect and must be listed as 1.0 if there
is no design effect.

cluster is a variable you may use to obtain Huber-White standard errors. This
is optional.

Also see

Lucas, Samuel R., Phillip N. Fucella, and Mark Berends. 2011. "Neo-Classical
Education Transitions: A Corrected Tale for Three Cohorts." Research in Social
Stratification and Mobility.