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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.

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Fig 1 Expand

Table 1.

Descriptive statistics of predictor variables for available responses.

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Table 1 Expand

Table 2.

Initial multiple logistic regression model predicting receiving an eviction order (N = 275).

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Table 2 Expand

Table 3.

Final multiple logistic regression model predicting receiving an eviction order (N = 304).

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Table 3 Expand

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).

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Fig 2 Expand

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).

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Fig 3 Expand

Table 4.

Final multiple logistic regression model predicting receiving an eviction order for single tenants (N = 149).

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Table 4 Expand

Table 5.

Final multiple logistic regression model predicting receiving an eviction order for multi-person households (N = 151).

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Table 5 Expand