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Some Statistical Issues in Statistics New Zealand

This article discusses various statistical issues faced by Statistics NZ in producing official statistics, such as software evaluations, confidentiality, selective editing, Bayesian estimation, and data quality checks.

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Some Statistical Issues in Statistics New Zealand

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  1. Some Statistical Issues in Statistics New Zealand Richard Penny November 2012

  2. Statistics NZ role • Produce official statistics for use by many people and organisations • We don’t know how people may use data • The data we release influences many things • Needs to be correct and on-time • Need to provide guidance on fitness for use

  3. Issues Resolved • Software evaluations • Proxies responses • p% rule in confidentiality • Hedonic indexes – hedonic regression

  4. p% rule • Confidentiality has 2 steps • Identify sensitive output • Desensitise the sensitive output • (n,k)-rule used previously • p% is related to what level of protection we want to provide

  5. Issues in Progress • Bayesian population estimates • Modelling data outputs • Selective editing

  6. Selective Editing • Editing is checking that a unit record seems feasible • However, if infeasible does it make a difference to our outputs?

  7. Issues to come • Analysis of linked data • Estimates from multiple data sources • Quality checks for data – incl. reporting • Bayesian sample estimation

  8. Bayesian Survey Estimation • We don’t do one-off surveys • Use previous results to inform current results • Calibrated Bayes – Little (2012)

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