| effects_ProbitSpatial {ProbitSpatial} | R Documentation |
Effects of a spatial probit model.
Description
Returns the marginal effects of a ProbitSpatial model.
Usage
effects_ProbitSpatial(object)
Arguments
object |
an object of class |
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.