Offering the replication package for the paper 'Who Wins and Loses in a Bubble? Evidence from the British Bicycle Mania'. It contains the data and do files required to replicate all regressions and statistical significance tests from the study. The author is William Quinn.
Use Cases
- Replicate regression analyses from the original paper using the provided do files and data.
- Conduct statistical significance tests on variables related to the British bicycle mania.
- Analyze the replication data to examine patterns of winners and losers during the historical bubble.
Strengths
- Data is directly linked to a specific academic paper, providing clear context for analysis.
- Includes do files that specify the exact replication procedures for regressions and tests.
Limitations
- The specific variables, row count, and column structure are not described in the input.
- The dataset's scope is limited to supporting the replication of a single academic paper.
Provenance
- Source
- William Quinn, via ICPSR Harvested Dataverse.
- Collection Method
- Archival data compiled for academic research and replication.
- Time Range
- null
- Freshness
- null
- Geography
- British bicycle mania context suggests United Kingdom.