Description Usage Arguments Value Author(s) References Examples
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.
1 |
ei.object |
An |
... |
A list of quantities of interest for |
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 |
Gary King <<email: king@harvard.edu>> and Molly Roberts <<email: molly.e.roberts@gmail.com>>
Gary King (1997). A Solution to the Ecological Inference Problem. Princeton: Princeton University Press.
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