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There are dummy variables in the equation
Ceterius Paribus is a very important consideration for policy
analysis to determine causal relationships
sample : specify the range of sample observations to use
read : read in data and put the data columns into variables
stat : produce descriptive statistics
genr: generate new variables
gen1: generate a scalar
ols: estimate regression model
set nowarnskip: not produce warnings when skip observations
skipif(
condition
): skip the observations that satisfy the condition
delete skip$: cancel “skipif” and return to full sample
print: print out variables or scalars
stop: tell SHAZAM to stop.
Large standard errors multicollinearity (high correlation among some of the
independent variables)
Crosssectional data
When a variable is measured in dollars (wages, prices, sales, market values, etc),
log may be appropriate
.
Rsquared and regressorselectionRsquared is the proportion of variation in
y
that is
explained by
x
’s, a measure of goodnessoffit.It is attempting to compare models
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 Three '11
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