Measuring the Completeness of Economic Models
提出经济模型“完整性”度量，即模型捕捉到的数据中可预测变动的比例，并用实验经济学中的三个问题计算知名模型的完整性，揭示模型改进空间。
Economic models are evaluated by testing the correctness of their predictions. We suggest an additional measure, “completeness”: the fraction of the predictable variation in the data that the model captures. We calculate the completeness of prominent models in three problems from experimental economics: assigning certainty equivalents to lotteries, predicting initial play in games, and predicting human generation of random sequences. The completeness measure reveals new insights about these models, including how much room there is for improving their predictions.