get_kennedy_estimator: Kennedy Estimator
In logib: Salary Analysis by the Swiss Federal Office for Gender Equality

Description Usage Arguments Details Value

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.

1	get_kennedy_estimator(coefficient, variance)

`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

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

a numeric value representing the so-called "Kennedy estimator"

logib documentation built on Nov. 21, 2021, 9:08 a.m.