Table A.1.
Means of Covariates and their Coefficients in the Propensity Score
Variable | Treated (N=17,491) | Controls (N=2,094,101) | Matched Controls (N=2,053,059) | Coefficient |
---|---|---|---|---|
Age 18–24 – Males | 0.073 | 0.107*** | 0.075 | |
Age 25–34 – Males | 0.099 | 0.150*** | 0.101 | −0.001 |
Age 35–44 – Males | 0.135 | 0.148*** | 0.134 | 0.126*** |
Age 45–54 – Males | 0.229 | 0.151*** | 0.228 | 0.318*** |
Age 55–64 – Males | 0.128 | 0.050*** | 0.128 | 0.523*** |
Age 18–24 – Females | 0.055 | 0.089*** | 0.055 | |
Age 25–34 – Females | 0.067 | 0.099*** | 0.068 | 0.034** |
Age 35–44 – Females | 0.087 | 0.102*** | 0.087 | 0.115*** |
Age 45–54 – Females | 0.095 | 0.085*** | 0.094 | 0.214*** |
Age 55–64 - Females | 0.031 | 0.020*** | 0.031 | 0.339*** |
Men | 0.665 | 0.606*** | 0.667 | 0.044*** |
Married | 0.673 | 0.604*** | 0.672 | −0.076*** |
Never married | 0.238 | 0.334*** | 0.240 | −0.083*** |
Widow | 0.013 | 0.007*** | 0.012 | |
Divorced | 0.077 | 0.055*** | 0.075 | 0.023 |
Household members | 3.187 | 3.275*** | 3.186 | −0.017*** |
Breadwinner | 0.608 | 0.535*** | 0.608 | 0.007 |
| ||||
Native | 0.860 | 0.858 | 0.860 | −0.001 |
Non-native Non-Western | 0.056 | 0.062*** | 0.057 | 0.027* |
Non-native Western | 0.084 | 0.080* | 0.084 | |
| ||||
Groningen | 0.029 | 0.033*** | 0.029 | −0.084*** |
Friesland | 0.042 | 0.038*** | 0.042 | −0.018 |
Drenthe | 0.031 | 0.029* | 0.032 | −0.015 |
Overijssel | 0.074 | 0.070** | 0.075 | −0.013 |
Flevoland | 0.022 | 0.021 | 0.023 | |
Gelderland | 0.131 | 0.126* | 0.132 | −0.020 |
Utrecht | 0.063 | 0.076*** | 0.063 | −0.100*** |
Noord-Holland | 0.144 | 0.155*** | 0.144 | −0.071*** |
Zuid-Holland | 0.177 | 0.202*** | 0.175 | −0.097*** |
Zeeland | 0.026 | 0.023*** | 0.026 | 0.003 |
Noord-Brabant | 0.179 | 0.156*** | 0.179 | 0.016 |
Limburg | 0.080 | 0.071*** | 0.080 | −0.006 |
| ||||
City size < 5,000 | 0.005 | 0.005 | 0.005 | |
City size 5–10,000 | 0.041 | 0.039 | 0.041 | −0.004 |
City size 10–20,000 | 0.169 | 0.166 | 0.170 | −0.016 |
City size 20–50,000 | 0.357 | 0.342*** | 0.358 | −0.018 |
City size 50–100,000 | 0.160 | 0.156* | 0.160 | −0.003 |
City size 100–150,000 | 0.086 | 0.101*** | 0.084 | −0.061 |
City size 150–250,000 | 0.082 | 0.083 | 0.082 | −0.043 |
City size > 250,000 | 0.100 | 0.108*** | 0.100 | 0.015 |
| ||||
Regular employee | 0.773 | 0.801*** | 0.774 | −0.027 |
Civil Servant | 0.082 | 0.081 | 0.082 | −0.066*** |
CEO/Executive | 0.024 | 0.017*** | 0.024 | |
Self-Employed | 0.121 | 0.100*** | 0.120 | −0.037* |
Income ratio (pers./hh income) | 0.561 | 0.524*** | 0.561 | −0.097*** |
Household Income Quartile 1 | 0.245 | 0.245 | 0.245 | |
Household Income Quartile 2 | 0.257 | 0.253 | 0.257 | −0.024*** |
Household Income Quartile 3 | 0.252 | 0.252 | 0.253 | −0.044*** |
Household Income Quartile 4 | 0.246 | 0.251 | 0.244 | −0.079*** |
Notes: Asterisks under (Matched) Controls denote significance (* p-value < 0.1, ** p-value <0.05, *** p-value < 0.01). Column 4 presents the coefficients from a probit model of acute hospitalization used to construct the propensity score. In addition to the variables listed, we included a constant (−2.28***).