cespeer.data {QuantilePeer}R Documentation

Compute the CES Social Norm

Description

cespeer.data computes the CES social norm, along with the first and second derivatives of the CES social norm with respect to the substitution parameter \rho.

Usage

cespeer.data(y, Glist, rho)

Arguments

y

A vector of outcomes used to compute the social norm.

Glist

The adjacency matrix. For networks consisting of multiple subnets (e.g., schools), Glist must be a list of subnets, with the m-th element being an n_m \times n_m adjacency matrix, where n_m is the number of nodes in the m-th subnet.

rho

The CES substitution parameter.

Value

A four-column matrix with the following columns:

y

The outcome;

ces(y, rho)

The CES social norm;

d[ces(y, rho)]

The first derivative of the social norm;

dd[ces(y, rho)]

The second derivative of the social norm.


[Package QuantilePeer version 0.0.1 Index]