Table 7 Marginal effects with feeling of...

Table 7

Marginal effects with feeling of well-being (SWB3) as the dependent variable

	Model 2			Model 3
Variables	P₁	P₂	P₃	P₁	P₂	P₃
Income group 2	−0.0671*	−0.0858**	0.153**	−0.0732	−0.127***	0.200**
Income group 2	(0.0376)	(0.0336)	(0.0604)	(0.0512)	(0.0463)	(0.0827)
Income group 3	−0.0531	−0.0497*	0.103*	−0.0405	−0.0348	0.0754
Income group 3	(0.0368)	(0.0277)	(0.0559)	(0.0506)	(0.0318)	(0.0763)
Income group 4	−0.0263	−0.0137	0.0400	−0.0340	−0.0257	0.0597
Income group 4	(0.0378)	(0.0179)	(0.0529)	(0.0510)	(0.0319)	(0.0777)
Income group 5	−0.0549	−0.0534*	0.108*	−0.0358	−0.0281	0.0639
Income group 5	(0.0358)	(0.0303)	(0.0557)	(0.0482)	(0.0270)	(0.0698)
Number of children	0.0313**	0.0612**	−0.0925***	0.00994	0.0220	−0.0319
Number of children	(0.0131)	(0.0245)	(0.0345)	(0.0133)	(0.0291)	(0.0420)
Laugh	−0.0378***	−0.0739***	0.112***	−0.0251*	−0.0556*	0.0807*
Laugh	(0.0131)	(0.0266)	(0.0354)	(0.0146)	(0.0320)	(0.0443)
Service sport 2	−0.0440	−0.0307*	0.0747	−0.0467	−0.0451	0.0919
Service sport 2	(0.0359)	(0.0173)	(0.0475)	(0.0453)	(0.0277)	(0.0666)
Service sport 3	−0.0734**	−0.0992***	0.173***	−0.0639	−0.0884**	0.152**
Service sport 3	(0.0366)	(0.0331)	(0.0560)	(0.0459)	(0.0388)	(0.0730)
Service culture 2	−0.120*	−0.0160	0.136***	−0.119	−0.0201	0.140**
Service culture 2	(0.0654)	(0.0387)	(0.0431)	(0.0846)	(0.0460)	(0.0582)
Service culture 3	−0.149**	−0.0812*	0.230***	−0.150*	−0.0935*	0.244***
Service culture 3	(0.0667)	(0.0444)	(0.0489)	(0.0855)	(0.0539)	(0.0645)
Service transport 2	−0.0141	−0.00873	0.0228	–	–	–
Service transport 2	(0.0237)	(0.0137)	(0.0366)
Service transport 3	−0.0678***	−0.130***	0.198***	–	–	–
Service transport 3	(0.0236)	(0.0314)	(0.0430)
Environment 2	–	–	–	−0.0638**	−0.0505**	0.114***
Environment 2				(0.0301)	(0.0228)	(0.0387)
Environment 3	–	–	–	−0.108***	−0.284***	0.392***
Environment 3				(0.0337)	(0.0675)	(0.0707)
# Observations	642			428

	Model 2			Model 3
Variables	P₁	P₂	P₃	P₁	P₂	P₃
Income group 2	−0.0671*	−0.0858**	0.153**	−0.0732	−0.127***	0.200**
Income group 2	(0.0376)	(0.0336)	(0.0604)	(0.0512)	(0.0463)	(0.0827)
Income group 3	−0.0531	−0.0497*	0.103*	−0.0405	−0.0348	0.0754
Income group 3	(0.0368)	(0.0277)	(0.0559)	(0.0506)	(0.0318)	(0.0763)
Income group 4	−0.0263	−0.0137	0.0400	−0.0340	−0.0257	0.0597
Income group 4	(0.0378)	(0.0179)	(0.0529)	(0.0510)	(0.0319)	(0.0777)
Income group 5	−0.0549	−0.0534*	0.108*	−0.0358	−0.0281	0.0639
Income group 5	(0.0358)	(0.0303)	(0.0557)	(0.0482)	(0.0270)	(0.0698)
Number of children	0.0313**	0.0612**	−0.0925***	0.00994	0.0220	−0.0319
Number of children	(0.0131)	(0.0245)	(0.0345)	(0.0133)	(0.0291)	(0.0420)
Laugh	−0.0378***	−0.0739***	0.112***	−0.0251*	−0.0556*	0.0807*
Laugh	(0.0131)	(0.0266)	(0.0354)	(0.0146)	(0.0320)	(0.0443)
Service sport 2	−0.0440	−0.0307*	0.0747	−0.0467	−0.0451	0.0919
Service sport 2	(0.0359)	(0.0173)	(0.0475)	(0.0453)	(0.0277)	(0.0666)
Service sport 3	−0.0734**	−0.0992***	0.173***	−0.0639	−0.0884**	0.152**
Service sport 3	(0.0366)	(0.0331)	(0.0560)	(0.0459)	(0.0388)	(0.0730)
Service culture 2	−0.120*	−0.0160	0.136***	−0.119	−0.0201	0.140**
Service culture 2	(0.0654)	(0.0387)	(0.0431)	(0.0846)	(0.0460)	(0.0582)
Service culture 3	−0.149**	−0.0812*	0.230***	−0.150*	−0.0935*	0.244***
Service culture 3	(0.0667)	(0.0444)	(0.0489)	(0.0855)	(0.0539)	(0.0645)
Service transport 2	−0.0141	−0.00873	0.0228	–	–	–
Service transport 2	(0.0237)	(0.0137)	(0.0366)
Service transport 3	−0.0678***	−0.130***	0.198***	–	–	–
Service transport 3	(0.0236)	(0.0314)	(0.0430)
Environment 2	–	–	–	−0.0638**	−0.0505**	0.114***
Environment 2				(0.0301)	(0.0228)	(0.0387)
Environment 3	–	–	–	−0.108***	−0.284***	0.392***
Environment 3				(0.0337)	(0.0675)	(0.0707)
# Observations	642			428

Note(s): P_j is the probability that SWB3 = j, with j = 1,2,3. Model 2 with three variables representing public services (Sport, Culture, Transport). Model 3 with two variables representing public services (Sport, Culture) and environmental externality (Environment) Significance levels: * 10%, ** 5% and *** 1%. Other nonsignificant variables used in the estimations are Median income, Age, House Ownership, Female, Engagement and SWB_indi_coll

Source(s): Table by the authors

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