1996•Journal of Business and Economic StatisticsRequires access

Two Simple Algorithms for Generating a Subset of Data Consistent With WARP and Other Binary Relations

John Gross, Dan Kaiser

Open publisher page 14 citations

Abstract

We give two algorithms that partition data into two subsets, a set consistent with the weak axiom of revealed preference (WARP) and its complement. Our main contribution is a very fast, but inexact, algorithm. We also describe an exact algorithm that will be impractical for large data sets. These same algorithms may be applied to several other binary relationships such as the nonparametric production axioms. Because violations of WARP are also violations of the strong (SARP) and generalized (GARP) axioms, these algorithms are a logical first step in computing subsets consistent with these relations.

About this research paper

What this paper is about

We give two algorithms that partition data into two subsets, a set consistent with the weak axiom of revealed preference (WARP) and its complement. Our main contribution is a very fast, but inexact, algorithm. We also describe an exact algorithm that will be impractical for large data sets. These same algorithms may be applied to several other binary relationships such as the nonparametric production axioms. Because violations of WARP are also violations of the strong (SARP) and generalized (GARP) axioms, these algorithms are a logical first step in computing subsets consistent with these relations.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

We give two algorithms that partition data into two subsets, a set consistent with the weak axiom of revealed preference (WARP) and its complement. Our main contribution is a very fast, but inexact, algorithm. We also describe an exact algorithm that will be impractical for large data sets. These same algorithms may be applied to several other binary relationships such as the nonparametric production axioms. Because violations of WARP are also violations of the strong (SARP) and generalized (GARP) axioms, these algorithms are a logical first step in computing subsets consistent with these relations.

Key concepts: Axiom, Binary number, Complement (music), Revealed preference, Simple (philosophy), Algorithm, Binary relation, Partition (number theory)

Related papers

Back to paper searchBrowse research topicsOriginal source
Two Simple Algorithms for Generating a Subset of Data Consistent With WARP and Other Binary Relations — Research Paper | ScholarLens