Table 4. Random parameter logit-error...

Table 4.

Random parameter logit-error component (RPL-EC) estimates by city

	Milan	Rome	Naples
Variables	Estimates ± Std. error	Estimates ± Std. error	Estimates ± Std. error
Random main effects parameters in utility function
BRAND
Mean	1.09 ± 0.06	1.17 ± 0.05	0.45 ± 0.04
St. dev.	0.68 ± 0.05	0.67 ± 0.05	0.27 ± 0.03
INDUSTR
Mean	–0.39 ± 0.07	–0.46 ± 0.07	–1.16 ± 0.05
St. dev.	0.25 ± 0.10	0.28 ± 0.10	0.69 ± 0.06
HOME
Mean	–0.14 ± 0.04	–0.21 ± 0.05	–0.58 ± 0.07
St. dev.	0.19 ± 0.09	0.23 ± 0.09	0.34 ± 0.07
TRADIT
Mean	0.18 ± 0.08	0.16 ± 0.08	0.17 ± 0.06
St. dev.	0.25 ± 0.09	0.13 ± 0.08	0.19 ± 0.07
Non-random parameters in utility functions
Opt-out	0.69 ± 0.26	0.73 ± 0.26	0.91 ± 0.24
PRICE	–0.54 ± 0.04	–0.59 ± 0.03	–0.57 ± 0.039
Error component	2.53 ± 0.23	2.79 ± 0.17	2.24 ± 0.14
Sample size	612	598	956
N	7,344	7,176	11,472
Log likelihood	–3,164	–2,879	–4,703

	Milan	Rome	Naples
Variables	Estimates ± Std. error	Estimates ± Std. error	Estimates ± Std. error
Random main effects parameters in utility function
BRAND
Mean	1.09 ± 0.06	1.17 ± 0.05	0.45 ± 0.04
St. dev.	0.68 ± 0.05	0.67 ± 0.05	0.27 ± 0.03
INDUSTR
Mean	–0.39 ± 0.07	–0.46 ± 0.07	–1.16 ± 0.05
St. dev.	0.25 ± 0.10	0.28 ± 0.10	0.69 ± 0.06
HOME
Mean	–0.14 ± 0.04	–0.21 ± 0.05	–0.58 ± 0.07
St. dev.	0.19 ± 0.09	0.23 ± 0.09	0.34 ± 0.07
TRADIT
Mean	0.18 ± 0.08	0.16 ± 0.08	0.17 ± 0.06
St. dev.	0.25 ± 0.09	0.13 ± 0.08	0.19 ± 0.07
Non-random parameters in utility functions
Opt-out	0.69 ± 0.26	0.73 ± 0.26	0.91 ± 0.24
PRICE	–0.54 ± 0.04	–0.59 ± 0.03	–0.57 ± 0.039
Error component	2.53 ± 0.23	2.79 ± 0.17	2.24 ± 0.14
Sample size	612	598	956
N	7,344	7,176	11,472
Log likelihood	–3,164	–2,879	–4,703

Notes:

All the computed p-values were less than 0.05 and they were considered statistical significant

Source: Authors’ own creation

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