Stochastic Revealed Preferences with Measurement Error
成果类型:
Article
署名作者:
Aguiar, Victor H.; Kashaev, Nail
署名单位:
Western University (University of Western Ontario)
刊物名称:
REVIEW OF ECONOMIC STUDIES
ISSN/ISSBN:
0034-6527
DOI:
10.1093/restud/rdaa067
发表日期:
2021
页码:
2042-2093
关键词:
nonparametric approach
afriats theorem
euler equations
CHOICE
consumption
income
identification
restrictions
aggregation
BEHAVIOR
摘要:
A long-standing question about consumer behaviour is whether individuals' observed purchase decisions satisfy the revealed preference (RP) axioms of the utility maximization theory (UMT). Researchers using survey or experimental panel data sets on prices and consumption to answer this question face the well-known problem of measurement error. We show that ignoring measurement error in the RP approach may lead to overrejection of the UMT. To solve this problem, we propose a new statistical RP framework for consumption panel data sets that allows for testing the UMT in the presence of measurement error. Our test is applicable to all consumer models that can be characterized by their firstorder conditions. Our approach is non-parametric, allows for unrestricted heterogeneity in preferences and requires only a centring condition on measurement error. We develop two applications that provide new evidence about the UMT. First, we find support in a survey data set for the dynamic and time-consistent UMT in single-individual households, in the presence of nonclassical measurement error in consumption. In the second application, we cannot reject the static UMT in a widely used experimental data set in which measurement error in prices is assumed to be the result of price misperception due to the experimental design. The first finding stands in contrast to the conclusions drawn from the deterministic RP test of Browning (1989, International Economic Review, 979-992). The second finding reverses the conclusions drawn from the deterministic RP test of Afriat (1967, International Economic Review, 8, 6-77) and Varian (1982, Econometrica, 945-973).
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