Table A6 Estimation results for feeling...

Table A6

Estimation results for feeling of well-being (SWB3) with additional variables

	Model 4		Model 5		Model 6
Variable	Coef	Std.Err	Coef	Std.Err	Coef	Std.Err
Income group 2	0.177	0.369	0.226	0.486	0.350	0.479
Income group 3	0.086	0.348	0.142	0.445	0.175	0.452
Income group 4	−0.204	0.349	−0.278	0.462	−0.101	0.435
Income group 5	0.080	0.333	0.232	0.434	0.115	0.404
Median income	0.192	0.244	0.346	0.286	0.276	0.357
# Children	−1.401***	0.531	−1.583**	0.947	−1.344*	0.768
# Children squared	0.821**	0.415	0.947*	0.487	1.005*	0.587
Age group 2	0.264	0.322	0.483	0.389	0.102	0.355
Age group 3	0.077	0.340	0.281	0.400	−0.008	0.405
Age group 4	0.155	0.397	0.355	0.475	−0.190	0.466
House ownership	0.060	0.170	0.047	0.209	−0.038	0.248
Female	−0.043	0.165	−0.053	0.181	0.073	0.224
Laugh	0.386*	0.162	0.416**	0.197	0.512**	0.229
Engagement	−0.141	0.148	−0.035	0.172	−0.045	0.194
Swb_indi_coll 2	0.316	0.254	0.119	0.270	0.773**	0.352
Swb_indi_coll 3	0.286	0.345	−0.186	0.404	0.412	0.544
Service culture 2	0.797**	0.373	0.796*	0.439	1.313**	0.549
Service culture 3	0.927**	0.402	0.741	0.465	1.287**	0.571
Service sport 2	0.586*	0.314	0.385	0.366	0.455	0.376
Service sport 3	0.978***	0.336	0.694*	0.387	0.678*	0.411
Service transport 2	–	–	0.207	0.273	–	–
Service transport 3	–	–	0.541*	0.290	–	–
Environment 2	–	–	–	–	0.169	0.274
Environment 3	–	–	–	–	1.1165***	0.348
Sense of security 2	0.561**	0.228	0.587**	0.277	0.755**	0.361
Sense of security 3	0.998***	0.265	0.930***	0.321	1.209***	0.390
$c_{1}$	2.131	1.945	3.510	2.303	3.954	2.083
$c_{2}$	4.654**	1.950	5.998***	2.323	6.707**	2.844
# Observations	307		223		177
# Parameters	30		33		33
Log-likelihood	−212.670		−155.433		−111.289
Pseudo R²	0.182		0.185		0.229
AIC	485.339		376.865		288.578

	Model 4		Model 5		Model 6
Variable	Coef	Std.Err	Coef	Std.Err	Coef	Std.Err
Income group 2	0.177	0.369	0.226	0.486	0.350	0.479
Income group 3	0.086	0.348	0.142	0.445	0.175	0.452
Income group 4	−0.204	0.349	−0.278	0.462	−0.101	0.435
Income group 5	0.080	0.333	0.232	0.434	0.115	0.404
Median income	0.192	0.244	0.346	0.286	0.276	0.357
# Children	−1.401***	0.531	−1.583**	0.947	−1.344*	0.768
# Children squared	0.821**	0.415	0.947*	0.487	1.005*	0.587
Age group 2	0.264	0.322	0.483	0.389	0.102	0.355
Age group 3	0.077	0.340	0.281	0.400	−0.008	0.405
Age group 4	0.155	0.397	0.355	0.475	−0.190	0.466
House ownership	0.060	0.170	0.047	0.209	−0.038	0.248
Female	−0.043	0.165	−0.053	0.181	0.073	0.224
Laugh	0.386*	0.162	0.416**	0.197	0.512**	0.229
Engagement	−0.141	0.148	−0.035	0.172	−0.045	0.194
Swb_indi_coll 2	0.316	0.254	0.119	0.270	0.773**	0.352
Swb_indi_coll 3	0.286	0.345	−0.186	0.404	0.412	0.544
Service culture 2	0.797**	0.373	0.796*	0.439	1.313**	0.549
Service culture 3	0.927**	0.402	0.741	0.465	1.287**	0.571
Service sport 2	0.586*	0.314	0.385	0.366	0.455	0.376
Service sport 3	0.978***	0.336	0.694*	0.387	0.678*	0.411
Service transport 2	–	–	0.207	0.273	–	–
Service transport 3	–	–	0.541*	0.290	–	–
Environment 2	–	–	–	–	0.169	0.274
Environment 3	–	–	–	–	1.1165***	0.348
Sense of security 2	0.561**	0.228	0.587**	0.277	0.755**	0.361
Sense of security 3	0.998***	0.265	0.930***	0.321	1.209***	0.390
$c_{1}$	2.131	1.945	3.510	2.303	3.954	2.083
$c_{2}$	4.654**	1.950	5.998***	2.323	6.707**	2.844
# Observations	307		223		177
# Parameters	30		33		33
Log-likelihood	−212.670		−155.433		−111.289
Pseudo R²	0.182		0.185		0.229
AIC	485.339		376.865		288.578

Note(s): Model 4 corresponds to regression with socioeconomic, lifestyle variables and externalities from public services (Sport, Culture) with a sense of safety in EMS (Sense of security) representing a specificity of the Strasbourg metropolitan area. Model 5 corresponds to regression with the same variables as in Model 2 (i.e. three public services Sport, Culture and Transport) and with the sense of security in EMS (Sense of security), this reduces the number of observations from 307 to 223. Model 6, with only 177 observations, considers two public services (Sport, Culture), environmental externality (Environment) and Sense of Security in the agglomeration. 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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