EPJ Data Science

Table 1 Explaining retention with shop distance and size

From: Product assortment and customer mobility

	Dependent variable: R ( s )
	(1)	(2)	(3)	(4)
Distance	−0.026^∗∗∗	−0.026^∗∗∗	−0.026^∗∗∗	−0.026^∗∗∗
Distance	(0.001)	(0.001)	(0.001)	(0.001)
Sophistication		0.110^∗∗∗	0.088^∗∗∗	0.085^∗∗∗
Sophistication		(0.004)	(0.007)	(0.020)
Volume			0.024^∗∗∗	0.022^∗
Volume			(0.007)	(0.012)
Variety				0.006
Variety				(0.028)
Constant	0.482^∗∗∗	0.444^∗∗∗	0.432^∗∗∗	0.432^∗∗∗
Constant	(0.013)	(0.011)	(0.012)	(0.012)
Observations	2,393	2,393	2,393	2,393
\(\mathrm{R}^{2}\)	0.152	0.364	0.367	0.367
Adjusted \(\mathrm{R}^{2}\)	0.152	0.363	0.367	0.366
Residual Std. Error	7.196	6.234	6.218	6.219
F Statistic	428.959^∗∗∗	683.803^∗∗∗	462.592^∗∗∗	346.815^∗∗∗

^∗ p<0.1; ^∗∗ p<0.05; ^∗∗∗ p<0.01. Retention rate goes from 0 to 1. Distance is calculated in minutes. The three measures of size (sophistication, volume and variety) are normalized with average 0 and standard deviation 1.

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