Significance test for confounding; that is, the difference between regression coefficients from same-sample nested logit and probit models. The test procedure follows Karlson et al (2012), Section 3.4.

1 | ```
khb(X, y, z)
``` |

`X` |
data frame comprising independent variables including confounding variable. |

`y` |
vector of dependent variable. |

`z` |
character string giving the name of the confounding variable in |

Thilo Klein

Karlson, K.B., A. Holm and R. Breen (2012). Comparing regression coefficients between same-sample nested models using logit and probit: A new method. *Sociological Methodology*, 42(1):286–313.

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