Replication Data for Amazon Buy Box Suppression Analysis

Offering replication data and code for a Web Conference 2026 paper analyzing the determinants and effects of Buy Box suppression on Amazon. It contains pre-processed and intermediate data used to reproduce the paper's figures, tables, and statistics.

Use Cases

• Reproduce statistical analyses on Buy Box suppression determinants using the provided pre-processed data.
• Replicate figures and tables from the WWW 2026 paper on Amazon marketplace dynamics.
• Validate the study's econometric models using the supplied intermediate data and code.

Strengths

• Data is directly associated with a peer-reviewed Web Conference 2026 paper, ensuring academic relevance.
• Includes replication code to reproduce the study's core findings, facilitating verification.

Limitations

• The specific data structure, including column names and row counts, is not described in the input.
• The raw, unprocessed source data is not included, limiting novel analysis beyond the paper's scope.

Provenance

Source

Harvard Dataverse

Collection Method

Pre-processed and intermediate data compiled for academic replication.

Freshness

Last updated on 2026-01-29.