Table 6

Environmental satisfaction (SWB3_ENV) and environment and public services

Model 1Model 2Model 3
VariableCoefStd.ErrCoefStd.ErrCoefStd.Err
Income group 2−0.0270.2110.2340.261−0.5600.352
Income group 3−0.2100.2060.0580.257−0.5360.360
Income group 4−0.0790.2030.3390.249−0.686*0.367
Income group 5−0.526**0.2140.0120.271−0.862**0.347
House ownership−0.343***0.115−0.258*0.149−0.362*0.194
Engagement−0.199**0.098−0.235*0.123−0.1810.167
Service sport 20.671***0.1870.645***0.2250.693**0.301
Service sport 30.826***0.1970.704***0.2350.695**0.310
Service culture 20.608***0.2260.744***0.2840.845*0.453
Service culture 31.001***0.2341.118***0.2911.255***0.456
Service transport 20.398**0.190
Service transport 30.833***0.197
Environment 21.478***0.206
Environment 32.929***0.311
# Observations667446296
# Parameters273030
Log-likelihood−509.152−321.231−168.813
Pseudo R20.0940.1450.325
AIC1072.305702.462397.625

Note(s): Model 1 corresponds to regression with socioeconomic, lifestyle variables and externalities from public services (Sport, Culture). Model 2 corresponds to regression with the same variables as in Model 1 and with an additional variable on public transport (Transport), reducing the number of observations from 667 to 446. Model 3 corresponds to regression with the same variables as in Model 1 and with environmental externality (Environment). If we keep public transport (Transport) in Model 3, there are only 205 observations left. All explanatory variables are exogenous based on the variable addition test (Wooldridge, 2014). Significance levels: *10%, ** 5% and *** 1%. Other nonsignificant variables used in the estimations are Median Income, Age, Female, SWB_indi_coll, Number of children, Number of children squared, Opportunities to laugh. The complete table with all variables is reported in  Appendix 2 (Table A5)

Source(s): Table by the authors

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