A New PC-Based Test for Varian's Weak Separability Conditions
提出一种新方法检验显示偏好弱可分性条件，发现即使数据存在测量误差，弱可分性仍普遍成立，且对误差、价格分布和偏好设定具有稳健性。
AbstractThis article develops a new method to evaluate revealed preference separability conditions. In contrast to previous studies, our results generally find weak separability, even when datasets have some measurement error. In addition, revealed preference and weak separability appear robust to measurement error, different price distributions, and alternative preference settings. Measurement error generally results in relatively few violations of revealed preference or weak separability.KEY WORDS: Measurement errorRevealed preferenceSuperlative indexes