Effects of spatial contextual characteristics on personal income

Ana Petrović, Maarten van Ham (TU Delft), David Manley (University of Bristol)

What is the relationship between your neighbourhood and your individual income? This research question was addressed in this pilot project (completed fall 2019).

To investigate this, the researchers used register data for the full population of the Netherlands, geocoded at 100m by 100m grid cells, which we aggregated at 100 different spatial scales. This way, they created areas (concentric circles around each individual cell) with different radii, ranging from 100m up to 10km. For each spatial scale, two contextual characteristics – the share of residents with a non-Western background and the share of low-income earners – were calculated and linked up with individual characteristics such as income. The results differ widely across spatial scale, which shows the importance of measuring spatial contextual characteristics at various spatial scales. In the Remote Access environment of Statistics Netherlands (CBS), computing the datasets took about four months. Processing time was considerably shorter with the ODISSEI Secure Supercomputer (OSSC), which means that more variables, for more years, could be computed and used for further analysis of spatial contextual effects.

Presentation TU Delft-pilot (2 October 2018) (pdf)
Presentation project results (25 September 2019) (pdf)