Computes the consistent and almost unbiased estimator for dummy variables in semi-logarithmic regressions proposed by Kennedy, P.E. (1981). Estimation with correctly interpreted dummy variables in semi-logarithmic equations. American Economic Review, 71, 801.
numeric value of the estimated coefficient for a dummy variable in a semi-logarithmic regression
numeric value of the variance of this estimated coefficient
Given a semi-logarithmic regression with a dummy variable and its estimated
c with a variance
v, the consistent and almost
unbiased estimator proposed by Kennedy is computed as
k = exp(c) / exp(v / 2) - 1
a numeric value representing the so-called "Kennedy estimator"
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