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The new “censimento permanente” of Italy: a self-learning, rolling census

The new “censimento permanente” of Italy: a self-learning, rolling census Fabio Crescenzi, - Chief Methodologist of the Department for Censuses, Administrative and Statistical Registers

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The new “censimento permanente” of Italy: a self-learning, rolling census

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  1. The new “censimento permanente” of Italy: a self-learning, rolling census Fabio Crescenzi, - Chief Methodologist of the Department for Censuses, Administrative and Statistical Registers UN Expert Group Meeting on Revising the Principles and Recommendations for Population and Housing Censuses, New York, 29 October - 1 November 2013

  2. A magic triangle in the Digital Agenda of Italy

  3. Moving to the age of the «censimento permanente»

  4. Would you shop outside if you have a department store at home? SIM: At Istat there is a formidable archive containing integrated microdata from many Administrative Source

  5. One Census - Two faces C face “To Count the population” D face “To Provide Data on the counted population” CENSUS - JANUS

  6. C-Face - Statistical Test on the Count of ANPR Each year we will test the count of each municipal register of population Is the Count of ANPR(j) the truePopulation of Municipality j? No! the NullHypothesisisrejected Yes! the NullHypothesisisaccepted

  7. Ingredients for the Test • A priori Knowledge derived from administrativesources (SIM – the Istat System of Microdata from AdministrativeSources) • Results of the C-sample, a rolling area-sample surveycarried out by enumeratorsexternal to the MunicipalOffices • Logic of self-learning in the determination of sample sizes overweighting the most critical situations in previous years

  8. C-sample

  9. The hamletic question Correct the count or do not correct the count? Whatever the answer, We have a strategy

  10. In case of rejection of null hypotheses In case of acceptance of null hypotheses

  11. The D face the D-sample

  12. D-sample. Plan of data accumulations by output area size Reference year of estimates Depend on OUTPUT AREA SIZE

  13. D-sample. Dissemination Starting Plan

  14. Rotation and “Revolution”, in an harmonious equilibrium of celestial bodies SIM C-sample D-sample ANNCSU Permanente Census ANPR

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