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. Author manuscript; available in PMC: 2014 Dec 24.
Published in final edited form as: Q J Finance. 2012;2(4):1250020. doi: 10.1142/S2010139212500206

Table 7.

Individual Attributes

Latent Variable: Log of Risk Tolerance
Model Allows for Heteroscedastic Errors
Parameter Yes No
Direct and Type Effects: β + λ
 Male 0.14
(0.04)
0.22
(0.03)
 Black −0.28
(0.06)
−0.12
(0.05)
 Hispanic −0.03
(0.08)
0.05
(0.06)
 High School Drop Out 0.02
(0.06)
0.09
(0.04)
 Some College 0.17
(0.05)
0.19
(0.04)
 College Graduate 0.22
(0.06)
0.25
(0.06)
 Post Graduate 0.32
(0.06)
0.40
(0.06)
Direct Effect: β
 Currently Married 0.11
(0.09)
0.10
(0.08)
 Fraction Exact Probability 0.82
(0.10)
0.52
(0.09)
Type Effect: λ
 Proportion of Years Married −0.27
(0.10)
−0.23
(0.09)
 Average FEP Across Waves 0.27
(0.14)
−0.05
(0.12)
Std. Dev. of Individual Effect : σu 0.72
(0.03)
0.77
(0.03)
Std. Dev. of Response Error: σe 1.55
(0.01)
1.50
(0.02)
Log-likelihood −23573.5 −23801.3
Parameters 55 29

NOTE: Asymptotic standard errors are in parentheses. Estimates in bold are statistically significant at the 5% level. The sample includes 12,003 individuals. The first column is the baseline specification of the model, see Appendix Table 1 for the full set of covariates and estimates. The model in the second column imposes homoscedasticity on the response errors. Fraction exact probability (FEP) is the fraction of the subjection probability questions in the survey to which an individual gives a non-focal response (not 0, 50, or 100). Covariates under the type effects are for an individual over the panel period.

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