Behavioral Models-Model

Behavioral models formalize specific decision processes or preferences, such as reference dependence, present bias, or inequality concerns, and test their implications.

Behavioral models make particular assumptions about how people evaluate options, attend to information, learn, or respond to social outcomes. Examples include reference-dependent valuation, present bias, and preferences concerning inequality. Each is a proposed mechanism that can be represented precisely and compared with observations; none is a universal explanation for surprising behavior.

A failed prediction may reflect an incorrect account of constraints, beliefs, or preferences before it reveals a bias. Adding parameters can improve fit to old data while worsening new predictions. Choose the smallest relevant mechanism, state what it predicts before observing the result, and compare against a reasonable alternative. Preferences for fairness can be represented within utility maximization rather than being inherently irrational.

When to use it

When a decision model misses a repeatable pattern and a specific alternative assumption could produce a useful, testable account.

How it can help

Identify a precise mismatch, compare plausible mechanisms, and evaluate predictions on new observations rather than adding explanations after the fact.