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Microcensus FAQs

Miscellaneous


How can a codebook be generated?

A codebook including the basic count consists of the following parts:

  • Information about the variables
  • Randomly selected and non-weighted frequencies

Generating a codebook with SPSS:

GET FILE = ‚filename‘.

DISPLAY DICTIONARY.

[Display Dictionary supplies information about all variables included in the dataset: variable name, labels, position of each variable in the System File, print and write format, missing values and value labels.]

FREQUENCIES VARIABELS = EF1 to EF738.

[randomly selected and non-weighted frequencies of the variables. Attention! Exclude the weighting variable, as it is very lengthy and a frequencies output would not make sense.]


Is there a database with literature about the Microcensus?

There is no special literature database of publications which are based upon Microcensus analyses or rather deal with the Microcensus. For further inquiries,  Solis- and SOFIS- Databases can be consulted. 

Information about publications with Microcensus analyses are collected by GML (emphasis Microcensus) and recorded in a database. An overview of the publications (including Grey Literature) that originated based on Microcensus´ Scientific Use File, can be found here.

Concrete questions about literature of the Microcensus can be directed via e-mail to our Userlist.


Why do the distributions that have been generated with  Microcensus data (Scientific Use File) differ from official published data?

The Scientific Use File is a factual-anonymized 70% subsample of the Microcensus. Publications of statistical offices are based on  projected and continuously updated population data. In order to generate a comparable result, the same projection factors regarding persons, houeseholds and families need to be used. Furthermore, since the Scientific Use File is a 70 percent subsample, a design-weighting with the reciprocal of the sampling fraction (70/100 for the extrapolation to 1 percent of the poulation) has to be conducted. Because of the sampling procedure and the tendency towards decreasing accuracy of attributes within anonymization, deviations of the estimate, based on the Scientific Use File, and published results of statistical offices, can occur.


Why are cases of "not stated" in the Microcensus, where disclosure is usually obligatory?

1) Due to the obligation of selected households to disclose, household participation is approximately 97 percent; i.e. the Unit-Nonresponse (households not reached or not available etc.) is marginal compared to many other surveys. Further infomation regarding nonresponses in the Microcensus can be found in the publications listed below: 

2) Several questions from the Microcensus are not subject to disclosure, e.g. questions on the year of marriage and education and advanced training of people older than 51 years etc. These questions were not answered in up to 10 percent of the cases (Item-Nonresponse). In the data set descriptions (key lists) it is noted for which questions and variables disclosure is required.   

3) Also by questions where disclosure is required, non-response is possible since for example sime respondents do not give information regarding their income. The statistical offices attempt to convince the respondents that their information is necessary. However, the interviewers are not always successful. Item-Nonresponse is especially high by written surveys than by traditional face-to-face interviews. Information regarding the type of interview is listed in Microcensus´ Scientific Use File beginning in 1996 with the variable "EF9 Bogenart". Further information on non-response can be found in the following publications:

  • Emmerling, D./Riede, T., 1994: Zur Freiwilligkeit in der Auskunftserteilung im Mikrozensus. Wirtschaft und Statistik (6): 435-449.
  • Lüttinger, P./Riede, T., 1997: Der Mikrozensus: amtliche Daten für die Sozialforschung. ZUMA-Nachrichten 41: 19-43.
  • Riede, T./Emmerling, D., 1994: Analysen zur Freiwilligkeit der Auskunftserteilung im Mikrozensus. Wirtschaft und Statistik (9): 733-742. 

 

© GESIS Yvonne Lechert 08. August 2007