simcdEy: Counterfactual Analyses with Count Data Models and Social...

In CDatanet: Econometrics of Network Data

Counterfactual Analyses with Count Data Models and Social Interactions

Description

simcdpar computes the average expected outcomes for count data models with social interactions and standard errors using the Delta method. This function can be used to examine the effects of changes in the network or in the control variables.

Usage

simcdEy(object, Glist, data, group, tol = 1e-10, maxit = 500, S = 1000)

Arguments

object	an object of class summary.cdnet, output of the function summary.cdnet or class cdnet, output of the function cdnet.
Glist	adjacency matrix. For networks consisting of multiple subnets, Glist can be a list of subnets with the m-th element being an ns*ns adjacency matrix, where ns is the number of nodes in the m-th subnet. For heterogeneous peer effects (e.g., boy-boy, boy-girl friendship effects), the m-th element can be a list of many ns*ns adjacency matrices corresponding to the different network specifications (see Houndetoungan, 2024). For heterogeneous peer effects in the case of a single large network, Glist must be a one-item list. This item must be a list of many specifications of large networks.
data	an optional data frame, list, or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which summary.cdnet is called.
group	the vector indicating the individual groups (see function cdnet). If missing, the former group saved in object will be used.
tol	the tolerance value used in the Fixed Point Iteration Method to compute the expectancy of y. The process stops if the \ell_1-distance between two consecutive E(y) is less than tol.
maxit	the maximal number of iterations in the Fixed Point Iteration Method.
S	number of simulations to be used to compute integral in the covariance by important sampling.

Value

A list consisting of:

Ey	E(y), the expectation of y.
GEy	the average of E(y) friends.
aEy	the sampling mean of E(y).
se.aEy	the standard error of the sampling mean of E(y).

See Also

simcdnet

CDatanet documentation built on April 3, 2025, 11:07 p.m.