Fig 1.
Response and non-response at T0 and T1, using the opt-in and opt-out methods.
*Since not all housing associations, municipal institutions and debt counseling agencies kept track of the number of letters they sent, it is unclear exactly how many tenants received opt-in letters or flyers.
Table 1.
Descriptive statistics of predictor variables for available responses.
Table 2.
Initial multiple logistic regression model predicting receiving an eviction order (N = 275).
Table 3.
Final multiple logistic regression model predicting receiving an eviction order (N = 304).
Fig 2.
Probability of receiving an eviction order as a result of level of rent arrears at T0 for different household compositions, while phase in the eviction process is at average level (N = 304).
Fig 3.
Probability of receiving an eviction order as a result of level of rent arrears at T0 for different phases in the eviction process, while household composition is at average level (N = 304).
Table 4.
Final multiple logistic regression model predicting receiving an eviction order for single tenants (N = 149).
Table 5.
Final multiple logistic regression model predicting receiving an eviction order for multi-person households (N = 151).