effects_ProbitSpatial: Effects of a spatial probit model.

In ProbitSpatial: Probit with Spatial Dependence, SAR, SEM and SARAR Models

Description

Returns the marginal effects of a ProbitSpatial model.

Usage

effects_ProbitSpatial(object)

Arguments

object

an object of class ProbitSpatial.

Details

The effects function has different outputs according to the DGP of the ProbitSpatial model:

"SAR"

The marginal effects of a spatial autoregressive model are more complicated than usual measurements of impacts for non spatial models. Here we follow LeSage and Pace and propose the following summaries for impact measures:

Average direct effects:

the average over all the observations of the effects of the change of an explanatory variable of a single observation on the choice probability of that same observation.

Average indirect effects:

the average over all the observations of the effect of a change on a explanatory variable on the choice probability of the neighbouring observations.

Average total effects:

the sum of direct and indirect impacts.

"SEM"

marginal effects should be interpreted as if it were a standard probit model.

Value

It returns the marginal effects of the estimated ProbitSpatial model.

References

J. LeSage and R.K. Pace. Introduction to Spatial Econometrics, CRC Press, chapter 10.1.6, 2009.

ProbitSpatial documentation built on June 30, 2021, 9:06 a.m.