British Columbia High School Gender Composition and University STEM Major Choice

Yu Wang's replication package analyzes the effect of high school gender composition on university STEM major choice using administrative data from British Columbia, Canada. The study exploits within-school variation in gender composition to find significant, gender-differentiated effects on STEM major selection. Specific row counts, column details, and file formats are not provided in the input.

Use Cases

• Analyze the relationship between high school gender composition and university STEM major choice using administrative data from British Columbia.
• Investigate gender-differentiated effects of peer composition on educational outcomes, as described in the study's findings.
• Examine how effects vary across high school type and stage of education, as indicated in the research description.

Strengths

• Based on administrative data from British Columbia, Canada, providing a real-world empirical foundation.
• Research exploits within-school variation in gender composition for causal identification, a methodological strength noted in the description.
• Dataset is associated with a published academic study, ensuring relevance for replication and secondary analysis.

Limitations

• The input provides no information on dataset size, specific variables, or file formats, limiting assessment of analytical scope.
• Data coverage is restricted to British Columbia, Canada, which may limit generalizability to other regions.
• As a replication package, the dataset may be tailored for the specific study's analyses rather than being a general-purpose resource.

Provenance

Source

ICPSR Harvested Dataverse, author Yu Wang.

Collection Method

Administrative data from British Columbia, Canada, analyzed to exploit within-school variation in gender composition.

Freshness

Last updated on 2026-02-23.

Geography

British Columbia, Canada.