Table 5 Probit for calibrating propensity score
From: Can public works programs mitigate the impact of crises in Europe? The case of Latvia
Coefficient | Standard error | |
|---|---|---|
Age 18-24 | −0.172 | (0.135) |
Age 25-29 | −0.020 | (0.146) |
Age 30-39 | 0.171 | (0.105) |
Male | −0.198*** | (0.071) |
Household head | 0.268** | (0.120) |
Spouse of household head | 0.413*** | (0.144) |
Single | −0.057 | (0.101) |
Married | −0.077 | (0.085) |
Share of members in age 0-5 | −0.009** | (0.004) |
Share of members in age 6-17 | −0.004 | (0.003) |
Share of members in age 1864 | 0.000 | (0.002) |
Household size | 0.063* | (0.034) |
Unemployed 12 months ago | −0.067 | (0.068) |
Secondary education | 0.034 | (0.094) |
Secondary profession | −0.009 | (0.093) |
Higher education | −0.291* | (0.155) |
Own a flat | −0.024 | (0.177) |
Own a house | 0.287** | (0.143) |
House is owned by state | −0.006 | (0.133) |
House is owned by private entity | −0.193 | (0.143) |
Have other Dwelling in other parts of Latvia | 0.107 | (0.124) |
House have 1 room | 0.056 | (0.144) |
2 room | 0.016 | (0.129) |
3 room | −0.111 | (0.127) |
Detached/semi-detached House | −0.003 | (0.133) |
Flat in apartment | −0.102 | (0.237) |
Wooden wall | −0.113 | (0.093) |
concrete wall | −0.031 | (0.085) |
region==Latgale | −0.269** | (0.115) |
region==Riga | −0.266*** | (0.100) |
region==Vidzemes | 0.116 | (0.099) |
region==Zemgales | −0.121 | (0.105) |
Constant | −0.119 | (0.309) |
Number of observations | 1,484 | |
Pseudo R-Square | 0.0417 |