condmoms_util: Conditional Moments Computation

In PatrickPfeifferDSc/bite: Bayesian Inference On Treatment Effects For Panel Data

Description

Internal. condmoms_util returns an object consisting of conditional moments

Usage

condmoms_util(mu_xst, resy, start_x, nx, start_y, sgma, rho,
  lambda = NULL)

Arguments

mu_xst	mean vector of latent utility values
resy	residual vector on y
start_x	matrix of Tmax x trtmax holding information at which indicator value observations with panel time t and treatment j start
nx	T x trtmax matrix containing number of observations for each combination of t and j
start_y	analoguous to start_x for outcome values
sgma	variance matrix
rho	covariance matrix
lambda	(optional) reserved parameter for further programming

Details

Computes conditional mean and variance in the utility x* model. Construct array resyt (Residuals of y_t): n x Tmax with zeros for not observed values

Value

Returns a list of moments of centered x:

1. conditional mean

2. conditional variance

PatrickPfeifferDSc/bite documentation built on Aug. 22, 2019, 9:57 a.m.