{smcl}
{* *! version 1.0.0 21Jul2010} {...}
{cmd: help retroclassical}
{hline}
{title: Title}
{phang}
{bf: retroclassical -- estimates neoclassical education transitions model without
selection}
{title: Syntax}
{cmd: retroclassical} Y1 "TC1" "TV1Names" "Exclusions" Y1Independent
Y2 "TC1" "TV2Names" Y2Independent [cluster] ;
{title: Description}
{pstd}
{cmd:retroclassical} estimates a bivariate probit model with coefficients re-scaled to
facilitate cross-equation testing for coefficient equality. This model sets the
cross-equation error covariance equal to zero. It is termed retroclassical for it is
midway between a variant of the neoclassical education transitions framework proposed
in Lucas, Fucella, and Berends (2011) and the classical education transitions
approach. 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, {help neoclassical}, estimates a
neoclassical education transitions model while estimating a possibly non-zero
cross-equation error variance. {help neoclassical} provides one part of one way to
implement the neoclassical education transitions framework, calibrating the
coefficients across transitions, while accounting for selection.
{phang}
{opt Y1} is the outcome variable for the first transition--this is the selection
equation for the second transition
{phang}
{opt "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
{phang}
{opt "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
{phang}
{opt "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
{phang}
{opt Y1Independent} is the total number of independent variables in the first equation
{phang}
{opt Y2} is the outcome variable for the second transition--this is the last of the
two transitions
{phang}
{opt "TC1"} contains the list of variables that are common across the first and second
equations. The set of variables should be in quotes and should have the exact same order
as when the variables appeared earlier in the command
{phang}
{opt "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
{phang}
{opt Y2Independent} is the total number of independent variables in the second
transition equation
{phang}
{opt deff} MUST be supplied. It is the value of the design effect. If no design
effect is needed, input 1.0.
{phang}
{opt cluster} is a variable you may use to obtain Huber-White standard errors
{phang}
{title: Also see}
{psee}
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.