A Monte Carlo study of the necessary and sufficient conditions for weak separability

Abstract

Weak separability is an important concept in many fields of economic theory. This chapter uses Monte Carlo experiments to investigate the performance of newly developed nonparametric revealed preference tests for weak separability. A main finding is that the bias of the sequentially implemented test for weak separability proposed by Fleissig and Whitney (2003) is low. The theoretically unbiased Swofford and Whitney test (1994) is found to perform better than all sequentially implemented test procedures but is found to suffer from an empirical bias, most likely because of the complexity in executing the test procedure. As a further source of information, we also perform sensitivity analyses on the nonparametric revealed preference tests. It is found that the Fleissig and Whitney test seems to be sensitive to measurement errors in the data.

Citation

Hjertstrand, P. (2009), "A Monte Carlo study of the necessary and sufficient conditions for weak separability", Binner, J.M., Edgerton, D.L. and Elger, T. (Ed.) Measurement Error: Consequences, Applications and Solutions (Advances in Econometrics, Vol. 24), Emerald Group Publishing Limited, Leeds, pp. 151-182. https://doi.org/10.1108/S0731-9053(2009)0000024010