Loss Aversion λ Coefficient (Prospect Theory)

Calculate or estimate the loss aversion parameter λ from Kahneman-Tversky prospect theory, where the disutility of a loss is λ times the utility of an equivalent gain. Typical estimates put λ at approximately 2.0–2.5.

Data set — comma or newline separated
Statistical Results — n = 8
Count (n)8
Sum (Σx)40
Min2
Max9
Range7
Q14
Q35.5
IQR1.5
Mean (μ)5
Median4.5
Mode4
Pop. Variance (σ²)4
Pop. Std Dev (σ)2
Sample Variance (s²)4.571428571
Sample Std Dev (s)2.138089935
Skewness0.65625
Excess Kurtosis-0.21875
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How It Works

Calculate or estimate the loss aversion parameter λ from Kahneman-Tversky prospect theory, where the disutility of a loss is λ times the utility of an equivalent gain. Typical estimates put λ at approximately 2.0–2.5

Each component has a specific meaning:

  • Kahneman-Tversky prospect theory — The kahneman-tversky prospect theory recorded for the scenario being assessed.
  • Where the disutility of a loss is λ times the utility of an equivalent gain — The where the disutility of a loss is λ times the utility of an equivalent gain recorded for the scenario being assessed.

Note: Interpret the loss aversion λ result against the thresholds and context described above.

How to Use

Enter the Kahneman-Tversky prospect theory, where the disutility of a loss is λ times the utility of an equivalent gain for the scenario you are assessing. Calculate or estimate the loss aversion parameter λ from Kahneman-Tversky prospect theory, where the disutility of a loss is λ times the utility of an equivalent gain. Typical estimates put λ at approximately 2.0–2.5. Use the loss aversion λ result to inform your calculation.

Frequently Asked Questions