ArticleJournal of mathematical psychology2026
To linearize or not to linearize: That is the Mazur delay discounting question.
Article in Journal of mathematical psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
We consider the widely used Mazur hyperbolic delay discounting model. Our scientific contributions are twofold. First, we provide a novel linearized version of the Mazur model that leads to an analytic estimator of the delay discount rate. Our novel estimator bypasses an outstanding problem: the instability in the numerical optimization to compute the nonlinear estimator. As a result, a simulation study shows that when compared to the conventional nonlinear estimator, our novel estimator more accurately estimates the discount rate. Second, we propose a linearized Mazur random effects model and develop a related
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