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Enhancing Statistical Compliance in Migration: Norway Case Study

This presentation explores Norway's statistical system regarding international migration and recommends ways to comply with international standards. It covers the definitions of usual residence and migrants, descriptive variables, system characteristics, compliance challenges, alternative responses, and possible solutions for alignment with international recommendations. The analysis delves into the discrepancies between national laws and international standards and suggests ways to improve data quality and compliance while considering the practical implications. It also highlights the importance of balancing national needs with international requirements and the challenges of achieving full compliance.

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Enhancing Statistical Compliance in Migration: Norway Case Study

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  1. kva int.rec.

  2. Applicability of CES Recommendations on International Migration in a country using registers: the case of Norway Kåre Vassenden, Statistics Norway, 21.11.2006

  3. ”Applicability” • = Capability to comply • Framework conditions for register-based production of statistics

  4. Outline of the presentation • General introduction • Definitions of usual residence and migrants • Descriptive variables • Conclusions

  5. Characteristics of register-based statistical systems? • The systems differs considerably • Even the stock is updated by register data • No direct input from other sources • A strong connection between flow and stock data • Not meaningful to discuss flow and stock statistics as interdependant statistics

  6. Dependant on other agencies • The NSI is dependant on registers that are not governed by the NSI • It is likely that the NSI does not have enough influence on the data to achieve full complience with international statistical recommendations

  7. Two alternative replies to the international recommendations • Sorry, we can’t comply • Yes, we have a lot of interesting data

  8. Part 1. Definitions on usual residence and migrations • One set of rules: Migration = change of usual residence • Statistics Norwaydoes not control the rules • Norwaydoes not control the registration of emigrations to the other Nordic countries

  9. Definitions on usual residence … (2) • An established concept of usual residence with a central position in the society • In Norwegian population registration there is a strong legal component • i.e. the registries make decisions (excersice authority)

  10. Definitions on usual residence … (3) • Statistics Norway has no choice but to support the population registration system • We play on the same team

  11. Some comparisons with the recommendations • It’s not easy to grasp the total effect of all the differences • Information not complying with Norwegian law is not recorded in the CPR • means that persons without a valid residence permit are not included as residents

  12. Some comparisons with the recommendations (2) • Main time criterion is 6 months • No distinction between long-term and short-term ... • but between resident and non-resident

  13. Possible solutions for compliance with the international recommendations on definitions • Changing the standard concept for statistical reasons is out of question • Metadata describing the qualities of Norwegian statistics and the discrepancies • Special tables for certain groups?

  14. Norway is already part of a solution • The Nordic contries constitute one population registration area • i.e. each person has only one place of usual residence within this area • Two different harmonisation regimes at the same time would bed for conflicts

  15. Statistics Norway’s main concerns • ”The night-rest principle” should have a stronger protection • The number of unintended discrepancies between the residence rules and the reality is too high

  16. Part 2. The descriptive variables • The total stock of persons: 7 million • = all persons that ever have been residents since 1964 • In additon: 800 000 with a ”D-number”

  17. Processing is demanding • A common linking key is prerequisite for linking data • The Personal Identification Number (PIN)

  18. The old event data • An elaborated collection of event data covering many years is valuable for a lot of purposes • This collection is a relevant source for new stock variables

  19. Old event data Old census data Registers from other agencies Sources for stock variables in a register system Establishing/improving variables Current updates Trans- actions from the CPR Stock

  20. Variables with 100 % coverage • Country of birth • Country of birth of parents (and grandparents) • First date of immigration • Refugee background

  21. Other variables • Reason for immigration (all reasons) • Citizenship variables

  22. Some conclusions (1) • Definitions on usual residence are locked. Complience is very difficult • Descriptive variables are easier ... • depending on the quality requirements • Often difficult to achieve full coverage

  23. Some conclusions (2) • Much easier to achieve something when the recommendations coincide with (add to) the national needs

  24. International recomm. Critical mass National needs Adding international needs

  25. Some conclusions (3) • Improved general quality is important for both the NSI and international users • Probably more importantthan full complience with the recommendations • Is striving for full complience worth the alternative costs?

  26. The end

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