revpref: Tools for Computational Revealed Preference Analysis

Research output: Non-textual formSoftware


Tools to (i) check consistency of a finite set of consumer demand observations with a number of revealed preference axioms at a given efficiency level, (ii) compute goodness-of-fit indices when the data do not obey the axioms, and (iii) compute power against uniformly random behavior.
Original languageEnglish
Publication statusPublished - 7 Jul 2021

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