Tackling city-regional dynamics into a survey using grid sampling

  • Seppo Laaksonen Helsinki University
  • Teemu Kemppainen Helsinki University
  • Matti Kortteinen Helsinki University
  • Mats Stjernberg Helsinki University
  • Mari Vaattovaara Helsinki University
  • Henrik Lönnqvist Helsinki Town
Keywords: 250 m x 250 m grids, conditional sampling design, administrative auxiliary variables

Abstract

The paper considers a Finnish human survey that takes advantage of explicit stratification. Stratification is not ordinary, since there are two types of stratification. In one, the strata are municipality based that are much used earlier. But in the second, these take advantage of the grid data base in which the grid size is 250 metres times 250 metres. Using the grid data base the two explicit strata are constructed, one consisting of such grids where the median tax income of the adults is low (called ‘poor’ grids), whereas the median income is high in the second explicit stratum of such grids (‘rich’ grids). In order to correctly handle these both stratified data, it is required first to merge them together, next to create the single sampling weights, and finally, due to 60 per cent non-response to adjust for these weights. This helps in reducing the bias of the estimates. The adjustment is strengthened with good auxiliary data both from the grid data base and other administrative sources

Author Biographies

Seppo Laaksonen, Helsinki University
Social Research
Teemu Kemppainen, Helsinki University
Social Resarch
Matti Kortteinen, Helsinki University
Social Reaerch
Mats Stjernberg, Helsinki University
Geography
Mari Vaattovaara, Helsinki University
Geography
Henrik Lönnqvist, Helsinki Town
Urban Facts
Published
2015-04-10
Section
Articles