• 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.

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