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"

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