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- W2010968103 abstract "Researchers estimating probit models often face the choice of expressing the right-hand-side variable(s) in either natural units or in logarithms. The Box–Cox transformation familiar in classical regression analysis is simple to apply to the regressors in a probit model to distinguish whether xor log(x) is sufficiently close to the optimal, as judged by a likelihood ratio test. A numerical example is provided based on a model of student loan default." @default.
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- W2010968103 date "1995-02-01" @default.
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- W2010968103 title "Estimating the functional form of the independent variables in probit models" @default.
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