ABSTRACT
Economists and econometricians have always given primacy of place to prices and incomes in explaining agents' behaviors. When economists acknowledge gender in analysis, they do so by using simple, binary indicator functions, so-called dummy variables, to alter intercept and/or slope coefficients in regression. Such dummies are often significant explanatory variables and are, no doubt, methodologically preferable to ignoring gender phenomena altogether, though they are poor analytical substitutes for more complete models of the role gender plays in market and non-market transactions.
