get_kennedy_estimator {logib} | R Documentation |
Kennedy Estimator
Description
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.
Usage
get_kennedy_estimator(coefficient, variance)
Arguments
coefficient |
numeric value of the estimated coefficient for a dummy variable in a semi-logarithmic regression |
variance |
numeric value of the variance of this estimated coefficient |
Details
Given a semi-logarithmic regression with a dummy variable and its estimated
coefficient c
with a variance v
, the consistent and almost
unbiased estimator proposed by Kennedy is computed as
k = exp(c) / exp(v / 2) - 1
Value
a numeric value representing the so-called "Kennedy estimator"
[Package logib version 0.2.0 Index]