Table 2

Estimated predicted values compared with actual utility scores

	Model	Observed	Mean	Minimum	Maximum	MSE	MAE
	Observed	14 100	0.851	−0.594	1.000
Model	OLS	14 100	0.851	0.451	1.083	0.042	0.141
	TOBIT	14 100	0.853	0.342	0.991	0.041	0.147
	FLOGIT	14 100	0.852	0.112	0.987	0.040	0.140
	2PM	14 100	0.850	0.740	0.958	0.060	0.177

2PM, two-part models; FLOGIT, Fractional logit; MAE, mean absolute error; MSE, mean squared error; OLS, ordinary least squares.