Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty
通过实验方法，在累积前景理论框架下，利用权衡法引出个体得失效用函数，再通过不确定两结果前景的确定性等价引出决策权重，并基于可观察选择而非其他经验基元进行分解，验证了决策权重的符号依赖性。
This paper reports the results of an experimental parameter-free elicitation and decomposition of decision weights under uncertainty. Assuming cumulative prospect theory, utility functions were elicited for gains and losses at an individual level using the tradeoff method. Subsequently, decision weights were elicited through certainty equivalents of uncertain two-outcome prospects. Furthermore, decision weights were decomposed using observable choice instead of invoking other empirical primitives, as in previous experimental studies. The choice-based elicitation of decision weights allows for a quantitative study of their characteristics, and also allows, among other things, for the examination of the sign-dependence hypothesis for observed choice under uncertainty. Our results confirm concavity of the utility function in the gain domain and bounded subadditivity of decision weights and choice-based subjective probabilities. We also find evidence for sign dependence of decision weights.