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Last Published July 01, 2024 01:16 PM April 17, 2026 10:12 AM
Experimental Design (Public) We use a randomized control trial (RCT) design to determine changes in environmental attitudes and preferences, changes in mobility behaviour, and parental willingness to pay to avoid illnesses based on individual awareness of their children's exposure to air pollution. Our treatment sample contains approximately 150 parents of school-aged children aged 6-15 from primary schools in the city of Brno, Czech Republic. All children carry a personal sampler measuring air pollution exposure continuously for seven days (including weekends), one week in winter and one week in summer, to capture seasonal variation in different air pollution sources. Another 150 parents of school-age children 6-15 in Brno city form a control group for whom this air measurement is not performed. The intervention consists of detailed information about air pollution and its risks. At the end of the study, parents of the treatment group will receive a detailed graphical report explaining the values and health risks for each of their children. The experimental part consists mainly of completing questionnaires before and after the intervention. Both treatment and control groups complete the first questionnaire before data collection begins. The questionnaire mainly contains the following questions: • Basic socioeconomic and demographic data on household members (e.g., gender, age, place of birth, highest completed education, marital status, number of children, occupation, and annual income category), • household data (type, floor area, air conditioning, heating, ventilation), • time-location/spatiotemporal characteristics/data of the child (e.g. time spent in school, leisure time, time spent in transport), • mobility data (mode of travel to school, leisure mobility, etc.), • data on health and associated financial expenditure (e.g. child's health status, direct and indirect costs related to health care among household members, child's leisure activities, smoking in the household), • non-market valuation of the disease, i.e. willingness to pay to avoid the disease • attitudinal issues (perceptions of air pollution, attitudes towards environmentally friendly behaviour, etc.). A second almost identical questionnaire is completed by the treatment and control group after the intervention, i.e., receiving a detailed report of the child's air pollution exposure. We implement a controlled field experiment with a quasi-experimental pre-post design to examine changes in environmental attitudes and preferences, mobility behaviour, and parental willingness to pay to avoid illnesses following individualised information about their children's exposure to air pollution. Our treatment sample consists of approximately 150 parents of school-aged children aged 6–15 from primary schools in the city of Brno, Czech Republic. Children in the treatment group carry a personal sampler measuring air pollution exposure continuously for seven days (including weekends), once in winter and once in summer, in order to capture seasonal variation in pollution sources. The control group consists of approximately 150 parents of school-aged children aged 6–15 in Brno in each survey wave, for whom no individual air pollution monitoring is conducted. The intervention consists of providing detailed information about air pollution exposure and its associated health risks. At the end of the study, parents in the treatment group receive a personalised graphical report explaining the measured exposure levels and potential health implications for each of their children. The experimental component consists primarily of survey data collection before and after the intervention. Both treatment and control groups complete a baseline questionnaire prior to data collection. The questionnaire includes: • Basic socioeconomic and demographic characteristics of household members (e.g. gender, age, place of birth, highest completed education, marital status, number of children, occupation, and income category), • Household characteristics (type of housing, heating, ventilation), • Time-location and spatiotemporal characteristics of the child (e.g. time spent in school, leisure activities, time spent in transport), • Mobility behaviour (mode of travel to school and other mobility patterns), • Health status and related financial expenditures (e.g. child’s health, direct and indirect healthcare costs, leisure activities, smoking in the household), • Stated preferences, including willingness to pay to avoid illness (based on a hypothetical scenario), • Attitudinal measures (perceptions of air pollution and attitudes towards environmentally friendly behaviour). A second, nearly identical questionnaire is administered to both treatment and control groups after the intervention, following the provision of the individualised exposure report. The treatment group follows the same individuals over time, while the control group is based on repeated cross-sectional samples, with different respondents surveyed before and after the intervention. The empirical analysis will rely on a difference-in-differences framework, controlling for observable characteristics to account for potential compositional differences between samples.
Randomization Method Some elementary schools were approached for the treatment group, and their students and parents participated in whole research. The treatment group consists of parents of other schools that are not involved in this research. The control group is approached through an external sociological agency. Participants were not randomly assigned to treatment and control groups. The treatment group was recruited through selected elementary schools in Brno that agreed to participate in the study and in the air pollution monitoring component. The control group was recruited separately through an external sociological agency. The study therefore does not involve randomisation and follows a quasi-experimental design.
Randomization Unit housholds Not applicable - no random assignment
Planned Number of Observations 300 households 600 survey observations
Sample size (or number of clusters) by treatment arms treatment group - 150 households control group - 150 households Treatment group: 150 households followed over two waves (300 observations) Control group: 150 households in the pre-intervention wave and 150 households in the post-intervention wave (300 observations)
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