What data to save in 2010 to support the various coverage measurement models, including the feasibility of saving some data on a 100 percent basis, and the possible need for sampling from the output of some management information systems.
More work on the framework document looking into assumptions and estimation.
Random effects modeling for small-area estimation.
Variance estimation for synthetic estimation and related techniques.
Treatment of non-data-defined cases in logistic regression.
Allowable covariates in the logistic regression models (both in terms of balance issues for the E-sample and P-sample, and also due to Alho’s concern about using covariates related to census processes).
Sample design for the CCM survey, at both the state and substate levels.
The products to use to inform about census component coverage error.
Use of survey weights in logistic regression models.
Improvements in demographic analysis in 2010
How to exploit 2000 data more for 2010 design.
Very generally, how to best operate a feedback loop for census improvement.
What issues will come up in identifying duplicates in real time?
Finally, we also hope to consider the question of what a coverage measurement program entirely focused on measuring census component coverage error, including the use of administrative records, might look like.