Switzerland’s Structural Survey Microdata · 1/18/2018 · The Structural Survey was introduced in 2010 universe –permanent resident population (15+ years) in private hh →

Switzerland’s Structural Survey Microdata

Challenges in preparing a set of

microdata for IPUMS-International

«Entrusting population microdata into IEPM/IPUMS»

Data Forum on Harmonization and Uses of European Microdata

Barcelona, Spain, 18-19 January 2018

Dr. David Tesar, Federal Statistical Office, Neuchâtel, Switzerland

Dr. David Tesar, Federal Statistics Office/ Structural Survey | Challenges in the international context | CED | 18.Jan..2018 1

Contents

Availability of population census data

Characteristics of the Structural Survey

Preparation of the IPUMS microdata - challenges

Questions


Entrusting Swiss Population Microdata to IPUMS-I


Structural Survey – characteristics


Structural Survey - topics


Structural Survey – characteristics

The Structural Survey was introduced in 2010

universe – permanent resident population (15+ years) in private hh

→ ≈4% of the universe is being sampled each year

target person receives a personal and a household questionnaire

→ in each sampled household there is exactly one target person

strata (29) – cantons, selected large municipalities and regions

reference day is the 31st of December


Entrusting Swiss Population Microdata to IPUMS-I

task: create one set of microdata (Structural Survey 2011) with a person weight and a

household weight

under consideration of:

• no loss of information

• limit the possibility of identifying single persons or households

• continuation of time series

Name Referent/in, Organisationseinheit / Projekt | Titel der Präsentation | Anlass | Datum 7

Microdata structure

a) PERS: dataset containing information on the target person

b) PERS_HH: dataset containing information on the household and the target person

c) HHMEMBERS: dataset containing information on all household members

d) HHMEMBERS_REL: dataset containing information on how household members are

related to each other

→ In IPUMS-International one dataset with a person weight and a household

weight is required.


Microdata structure – information extraction

Example: occupation model of couples with children

Household composition and transposition from HHMEMBER dataset to the PERS_HH

dataset.

Information loss is the consequence if in the data preparation this analysis of the household

composition and the transposition in not done


Challenges

Translations

Choosing hierarchy level

Data structure

No interruption of time series


Outlook

(Jan 2018)

feedback from supervisor on prepared metadata and microdata

(Feb 2018)

Sending the prepared files to IPUMS-International and working with IPUMS on the final

version


Thank you!

Questions?


Challenges

Translations

→ nomenclatures can have several thousand attributes / small translation service & different priorities


Challenges

Translations

Data structure




Challenges

Data structure

→ 4 sets of microdata / transformation into 1 set of microdata


Challenges

Translations

Data structure




Challenges


→ when nomenclatures are too detailed a certain agregation is needed in sample data


Challenges

Translations

Data structure




Challenges


→ census microdata of full population surveys are already available in IPUMS-I / fundamental changes in

variable definitions as in universes can cut time series


Outlook

• Structural Survey is one of the fundamental surveys at the FSO. The time series are growing year by year. Results are widelyspread in media, administrations and among the population.

• The increase of online use of the questionnaire is increasing dataquality → the aim is to persuade surveyed persons topreferentially fill out the online questionnaire.


Additional slides / 1


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Documents

Switzerland’s Structural Survey Microdata · 1/18/2018 · The Structural Survey was introduced in 2010 universe –permanent resident population (15+ years) in private hh →