eiread: Quantities of Interest from Ecological Inference Estimation

In iqss-research/eir: ei

Description

eiread is the command that pulls quantities of interest from the ei object. The command returns a list of quantities of interest requested by the user.

Usage

eiread(ei.object, ...)

Arguments

ei.object	An ei object from the function ei.
...	A list of quantities of interest for eiread() to return. See values below.

Value

betab	p x 1 point estimate of β_i^b based on its mean posterior. See section 8.2
betaw	p x 1 point estimate of β_i^w based on its mean posterior. See section 8.2
sbetab	p x 1 standard error for the estimate of β_i^b, based on the standard deviation of its posterior. See section 8.2
sbetaw	p x 1 standard error for the estimate of β_i^w, based on the standard deviation of its posterior. See section 8.2
phi	Maximum posterior estimates of the CML
psisims	Matrix of random simulations of ψ. See section 8.2
bounds	p x 4: bounds on β_i^b and β_i^w, lowerB ~ upperB ~ lowerW ~ upperW. See Chapter 5.
abounds	2 x 2: aggregate bounds rows:lower, upper; columns: betab, betaw. See Chapter 5.
aggs	Simulations of district-level quantities of interest \hat{B^b} and \hat{B^w}. See Section 8.3.
maggs	Point estimate of 2 district-level parameters, \hat{B^b} and \hat{B^w} based on the mean of aggs. See Section 8.3.
VCaggs	Variance matrix of 2 district-level parameters, \hat{B^b} and \hat{B^w}. See Section 8.3.
CI80b	p x 2: lower~upper 80\% confidence intervals for β_i^b. See section 8.2.
CI80w	p x 2: lower~upper 80\% confidence intervals for β_i^w. See section 8.2.
eaggbias	Regressions of estimated β_i^b and β_i^w on a constant term and X_i.
goodman	Goodman's Regression. See Section 3.1

References

Gary King (1997). A Solution to the Ecological Inference Problem. Princeton: Princeton University Press.

Examples

data(sample)
formula = t ~ x
dbuf <- ei(formula=formula, total="n",data=sample)
eiread(dbuf, "phi")
eiread(dbuf, "betab", "betaw")

iqss-research/eir documentation built on Dec. 20, 2021, 7:58 p.m.