Two Simple Algorithms for Generating a Subset of Data Consistent With WARP and Other Binary Relations
John Gross, Dan Kaiser
Abstract
John Gross, Dan Kaiser
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.
OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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)