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Table 1 reports the fits of two-stage versions with and without heterogeneous decision rules (latent classes) as well as versions that allow for conventional representation of continuous covariates (i.e., no splines). Based on standard fit metrics, the proposed model with five latent classes for both men and women fits the data better than all nested models (e.g., homogeneous and linear utility) and nonnested ones with polynomial representation of continuous covariates, and those differences are statistically significant. We assess goodness of fit using a holdout sample consisting Fortitude Valley Queensland of girls who joined the site after the estimation interval and 181 men, to safeguard against overfitting. These out of sample estimates reaffirm that a model outperforms more conventional specifications. In addition to superior fit, our model captures. Additional details are in SI Appendix, Section S4.
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