In this project, Prof. Dr. Doina Radulescu and Ivan Ackermann use cross-sectional and longitudinal microdata from the European-wide Statistics on Income and Living Conditions (SILC) to investigate the likelihood of households living in neighborhoods affected by pollution and assess how this varies with socio-demographic characteristics. This is important to understand which households benefit from better environmental quality through the energy transition.
Further, the authors intend to merge actual air pollution satellite data to the survey data from the socio-economic panel (SOEP) in Germany which incluedes the same question about air pollution perception as in the SILC data. This allows us them do the same regressions as with the perceived air pollution and compare the relationships with the socio-economic variables. Subject to being able to merge the SILC data with data to regional variation in information on air quality like the closing or building of a coal fired power plant or Smog-alarm, they identify the effect of information on the discrepancy between actual and perceived air pollution.
