`nwsaom_estat`

Description

The following postestimation command is available after nwsaom:

estat gof — RSiena-style goodness-of-fit test and violin plot
estat mems — Micro Effects on Macro Structure (Duxbury) mediation-style sensitivity analysis

Examples

. nwset, mat((0,1,1,0,1,0\0,0,1,0,0,1\1,0,0,1,0,0\0,0,0,0,1,1\1,0,0,0,0,1\0,1,0,0,0,0)) directed name(wave1)
. nwset, mat((0,1,1,1,1,0\1,0,1,0,0,1\1,1,0,1,0,0\0,0,1,0,1,1\1,0,1,0,0,1\0,1,0,1,0,0)) directed name(wave2)
. nwsaom, wave1(wave1) wave2(wave2) outdegree reciprocity transtrip
. estat gof

. estat gof, nsim(200) stats(outdegree geodesic) maxdeg(10)

. estat gof, twotailed name(mygof)

. estat gof, stats(outdegree triad) nsim(200)

. estat gof, join(off)

. program myDensity, rclass
.     args netname
.     nwsummarize `netname', matonly
.     return scalar stat = r(density)
. end
. estat mems, effect(reciprocity) macro(myDensity) nsim(500) seed(42)

Supported network types

Not applicable - estat gof operates on the fitted model and the wave data left behind by nwsaom, not on a network directly; see that command’s own classification.

Stored results

estat gof stores the following in r(), one pair per requested statistic (default outdegree/indegree/geodesic, plus behavior for a co-evolution fit; triad only if requested via stats()). With join(off), each period gets its own pair instead, suffixed _p*#* (e.g. r(p_outdegree_p1), r(p_outdegree_p2)):

Scalars

r(p_stat) empirical Mahalanobis-distance test p-value for that statistic
r(mhd_stat) observed vector’s own Mahalanobis distance from the simulated mean

estat mems stores the following in r():

Scalars

r(mems) MEMS point estimate (mean paired difference in the macro statistic)
r(mems_sd) Monte Carlo standard deviation of the paired difference
r(mems_lb)/r(mems_ub) 95% percentile interval
r(mems_p) Monte Carlo p-value
r(propchange) “Prop. Change in M” point estimate

Macros

r(effect) the effect() requested
r(macro) the macro() program name requested

References

Lospinoso, J., Snijders, T.A.B. (2019). Goodness of fit for stochastic actor-oriented models. Methodological Innovations, 12(3).

Ripley, R.M., Snijders, T.A.B., Boda, Z., Voros, A., Preciado, P. (2024). Manual for RSiena.

Duxbury, S.W. (2023). Micro Effects on Macro Structure. Sociological Methodology. DOI: 10.1177/00811750231209040.

Duxbury, S.W., Zhao, X. netmediate: Micro-Macro Analysis for Social Networks (R package).

nwsaom_estat