Home › Scenarios › The Buying-a-House Decision

Loss Aversion, Anchoring

The Buying-a-House Decision

The Buying-a-House Decision is a Loss Aversion and Anchoring scenario illustrating Real estate decisions activate every cognitive bias simultaneously — anchoring, loss aversion, manufactured urgency, and sunk-cost all at once. You've been pre-approved for a mortgage and looking for six months. You finally found a house that feels right. DecisionPlay maps the players, payoffs, and equilibrium dynamics that shape how this situation typically resolves.

Frequently Asked Questions

What game theory model does this scenario illustrate?
The Buying-a-House Decision illustrates Loss Aversion, Anchoring. Real estate decisions activate every cognitive bias simultaneously — anchoring, loss aversion, manufactured urgency, and sunk-cost all at once.
What is the Nash equilibrium?
DecisionPlay computes equilibria using best-response iteration and support enumeration. See the interactive analysis for this scenario.
Is this based on a real situation?
Yes. DecisionPlay's library is drawn from real-world conflicts, negotiations, and decisions.
How accurate is the analysis?
DecisionPlay uses a deterministic game-theoretic core with an LLM-based classifier. Verify edge cases against the structural module.
Do I need an account?
No. DecisionPlay is free and requires no login.