From the standpoint of capturing decision rules, there are three problems with this approach. First, nonmonotonicity is conflated with by functions that are polynomial. However, because in Fig. 2, heuristic decision rules may reflect (utility) functions that are both highly nonlinear and monotonic. Polynomials allow for a variety of forms that are Menseekingmen functional but at a price of greater imprecision and multicollinearity that is inherent. Second, noncompensatory decision rules impose a screener denoting the acceptability cutoff for a given attribute. However, polynomials force the decision function to be "smoothed" in a manner that obscures a potentially sharp cutpoint. Third, polynomials are sensitive to outliers, so that the shape of this function in any given region may be driven by observations with values far from that region. Our aim is to allow the functional form to be driven by info and not by asymptotics. We show that our model tells a different story compared with more traditional specifications and both matches.
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Our approach allows for decision stages. By way of instance, we evaluate whether the initial phases of mate search can be identified empirically as "noncompensatory": filtering someone out based on an insufficiency of a specific attribute, regardless of their merits on others. Also, by explicitly accounting for heterogeneity in mate preferences, the method could separate out idiosyncratic behavior from that which holds across the board, and thereby comes close to being a "universal" inside the focal population. As observed on Woman Seeking Men Classifieds an online dating site, we apply our modeling framework to behaviour. In doing so, we establish whether groups of both women and men impose acceptability cutoffs based on age, height, body mass, and many different other characteristics.
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