Table A4 Estimation results for feeling...

Table A4

Estimation results for feeling of well-being (SWB3)

	Model 1		Model 2		Model 3
Variable	Coef	Std.Err	Coef	Std.Err	Coef	Std.Err
Income group 2	0.460*	0.185	0.5266**	0.229	0.641**	0.305
Income group 3	0.215	0.180	0.3761*	0.220	0.275	0.279
Income group 4	0.153	0.180	0.161	0.219	0.223	0.302
Income group 5	0.143	0.172	0.393*	0.213	0.238	0.277
Median income	0.103	0.131	0.249	0.167	0.175	0.209
# Children	−0.878***	0.260	−1.085***	0.327	−0.593	0.390
# Children squared	0.510***	0.190	0.644***	0.236	0.405	0.288
Age group 2	0.108	0.171	0.321	0.213	−0.293	0.254
Age group 3	−0.035	0.185	0.155	0.225	−0.394	0.273
Age group 4	−0.004	0.211	0.186	0.265	−0.372	0.303
House ownership	0.113	0.092	0.093	0.120	0.021	0.141
Female	0.002	0.086	0.014	0.105	0.029	0.139
Laugh	0.467***	0.088	0.354***	0.101	0.247*	0.133
Engagement	0.019	0.084	0.072	0.101	0.158	0.125
Service sport 2	−0.327**	0.165	0.287	0.201	0.329	0.264
Service sport 3	0.688***	0.175	0.587***	0.215	0.509*	0.277
Service culture 2	0.651***	0.199	0.622**	0.2528	0.619*	0.329
Service culture 3	1.032***	0.208	0.912***	0.265	0.934***	0.340
Swb_indi_coll 2	0.131	0.132	0.058	0.163	0.022	0.209
Swb_indi_coll 3	0.061	0.176	−0.272	0.229	−0.081	0.293
Service transport 2	–	–	0.0896	0.146	–	–
Service transport 3	–	–	0.630***	0.151	–	–
Environment 2	–	–	–	–	0.424***	0.157
Environment 3	–	–	–	–	1.167***	0.213
$c_{1}$	0.919	1.063	2.256*	1.363	1.414	1.704
$c_{2}$	3.098***	1.068	4.568***	1.376	3.369**	1.716
# Observations	984		642		428
# Parameters	27		30		30
Log-likelihood	−751.067		−468.234		−314.254
Pseudo R²	0.122		0.142		0.144
AIC	1556.13		996.48		688.51

	Model 1		Model 2		Model 3
Variable	Coef	Std.Err	Coef	Std.Err	Coef	Std.Err
Income group 2	0.460*	0.185	0.5266**	0.229	0.641**	0.305
Income group 3	0.215	0.180	0.3761*	0.220	0.275	0.279
Income group 4	0.153	0.180	0.161	0.219	0.223	0.302
Income group 5	0.143	0.172	0.393*	0.213	0.238	0.277
Median income	0.103	0.131	0.249	0.167	0.175	0.209
# Children	−0.878***	0.260	−1.085***	0.327	−0.593	0.390
# Children squared	0.510***	0.190	0.644***	0.236	0.405	0.288
Age group 2	0.108	0.171	0.321	0.213	−0.293	0.254
Age group 3	−0.035	0.185	0.155	0.225	−0.394	0.273
Age group 4	−0.004	0.211	0.186	0.265	−0.372	0.303
House ownership	0.113	0.092	0.093	0.120	0.021	0.141
Female	0.002	0.086	0.014	0.105	0.029	0.139
Laugh	0.467***	0.088	0.354***	0.101	0.247*	0.133
Engagement	0.019	0.084	0.072	0.101	0.158	0.125
Service sport 2	−0.327**	0.165	0.287	0.201	0.329	0.264
Service sport 3	0.688***	0.175	0.587***	0.215	0.509*	0.277
Service culture 2	0.651***	0.199	0.622**	0.2528	0.619*	0.329
Service culture 3	1.032***	0.208	0.912***	0.265	0.934***	0.340
Swb_indi_coll 2	0.131	0.132	0.058	0.163	0.022	0.209
Swb_indi_coll 3	0.061	0.176	−0.272	0.229	−0.081	0.293
Service transport 2	–	–	0.0896	0.146	–	–
Service transport 3	–	–	0.630***	0.151	–	–
Environment 2	–	–	–	–	0.424***	0.157
Environment 3	–	–	–	–	1.167***	0.213
$c_{1}$	0.919	1.063	2.256*	1.363	1.414	1.704
$c_{2}$	3.098***	1.068	4.568***	1.376	3.369**	1.716
# Observations	984		642		428
# Parameters	27		30		30
Log-likelihood	−751.067		−468.234		−314.254
Pseudo R²	0.122		0.142		0.144
AIC	1556.13		996.48		688.51

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 observations from 984 to 642. Model 3 corresponds to regression with the same variables as in Model 1 and environmental externality (Environment). If we keep public transport (Transport) in Model 2, there are only 220 observations left. All explanatory variables are exogenous based on the variable addition test (Wooldridge, 2014). Significance levels: *10%, ** 5% and *** 1%

Source(s): Table by the authors

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