revpref: Tools for Computational Revealed Preference Analysis

Khushboo Surana

revpref: Tools for Computational Revealed Preference Analysis

Economics

Research output: Non-textual form › Software

Abstract

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 language	English
Publication status	Published - 7 Jul 2021

Access to Document

https://cran.r-project.org/web/packages/revpref/index.html

Cite this

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title = "revpref: Tools for Computational Revealed Preference Analysis",

abstract = "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.",

author = "Khushboo Surana",

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