Table 2 Differences between genotypes in risk-tolerance.

	(1)	(2)	(3)	(4)	(5)
	Combined	Combined	Non-risky	Risky	Gene-
	sample	sample	area	area	environment
	without	with	only	only	interaction
	controls	controls
7R: additive effect	0.068\(^{**}\)	0.064\(^{**}\)	0.097\(^{*}\)	0.056\(^{*}\)	0.107\(^{**}\)
	(0.027)	(0.028)	(0.049)	(0.032)	(0.045)
7R: dominance effect	−0.037	−0.026	−0.003	−0.036	−0.024
	(0.036)	(0.037)	(0.069)	(0.042)	(0.037)
Age		−0.002\(^{*}\)			−0.002\(^{**}\)
		(0.001)			(0.001)
Education		−0.004			−0.004
		(0.005)			(0.005)
Risky area		−0.120\(^{***}\)			−0.094\(^{**}\)
		(0.032)			(0.038)
Risky area \(\times\) 7R: additive effect					−0.062
					(0.049)
Constant	0.456\(^{***}\)	0.613\(^{***}\)	0.507\(^{***}\)	0.431\(^{***}\)	0.597\(^{***}\)
	(0.017)	(0.053)	(0.030)	(0.021)	(0.054)
Observations	721	699	215	506	699
R\(^{2}\)	0.009	0.030	0.026	0.006	0.033

Note: The outcome variable is risk-tolerance. A higher level of risk-tolerance indicates the choice of a riskier lottery by participants in the lottery choice task. Standard errors in parentheses. The coefficients are the results of Ordinary Least Square (OLS) estimations. In column 1, the sample is pooled (non-risky and risky areas) and no control variable is included. In column 2, the sample is pooled and controls for age, education and a dummy for living in the risky area are included. In columns 3 and 4, the sample is restricted to individuals from the non-risky and risky areas, respectively. In column 5, we interact the additive effect of the 7R allele with the dummy variable for living in the risky area. Further details on the equation used in column 5 can be found in the Methods section. Student’s t-test * \(p<\)0.10, **\(p<\)0.05, *** \(p<\)0.01. To see the correlations between controls and risk-tolerance, absent any genetic factor, see Table S.3.

Quick links

Search