Table 5 Logistic regressions predicting...

Table 5

Logistic regressions predicting factors affecting the likelihood of respondents reporting a higher distance between formal ethics and ethics in use for scenario 4 (the middleman real estate agent suggests to the seller a starting price level for advertising the property much below expected market value)

	B	S.E.	Sig.	Odds ratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Odds ratio	Lower	Upper
Gender	0.418	0.120	<0.001***	1.519	1.200	1.922
Age	−0.015	0.007	0.032**	0.985	0.971	0.999
Year in profession	−0.021	0.009	0.024**	0.979	0.961	0.997
Local market	1.058	0.131	<0.001***	2.880	2.228	3.723
Number of yearly transactions	−0.002	0.002	0.270	0.998	0.993	1.002
Receiving penalty	0.490	0.198	0.013**	1.632	1.107	2.406
Constant	0.553	0.286	0.053	1.739

	B	S.E.	Sig.	Oddsratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Oddsratio	Lower	Upper
Gender	0.418	0.120	<0.001***	1.519	1.200	1.922
Age	−0.015	0.007	0.032**	0.985	0.971	0.999
Year in profession	−0.021	0.009	0.024**	0.979	0.961	0.997
Local market	1.058	0.131	<0.001***	2.880	2.228	3.723
Number of yearly transactions	−0.002	0.002	0.270	0.998	0.993	1.002
Receiving penalty	0.490	0.198	0.013**	1.632	1.107	2.406
Constant	0.553	0.286	0.053	1.739

Note(s): The dependent variable is SCEN4bin. The number of observations is 1,334 The Cox and Snell R² is 0.091; the Nagelkerke R² is 0.121. *** = Statistically significant at the 0.01 level (2-tailed)

Source(s): Authors' own work

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