Endogenous Coalition Formation in Policy Debates: Micro-Level Empirical Data

Replication Data for 'Endogenous Coalition Formation in Policy Debates' from the American Journal of Political Science (AJPS) Dataverse. The dataset supports a theory explaining how political actors form and maintain coalitions by adopting policy beliefs from others in contentious debates. It was authored by Philip Leifeld and last updated on 2026-05-01.

Use Cases

• Modeling temporal network dependence in policy debates based on the description of actors contributing ideological statements.
• Analyzing belief adoption mechanisms (bonding, bridging, repulsion) to explain coalition formation and polarization.
• Testing formal theories of endogenous coalition formation using micro-level empirical data.
• Studying policy learning processes within and across advocacy coalitions on issues like climate change or population aging.

Strengths

• Data is replication material for a peer-reviewed article in the American Journal of Political Science.
• Dataset is associated with a formalized theory of endogenous coalition formation, providing a clear theoretical framework.
• Last update timestamp is precisely recorded as 2026-05-01 20:27:28.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and data size are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

American Journal of Political Science (AJPS) Dataverse, author Philip Leifeld.

Collection Method

Likely contains micro-level empirical data collected for testing a formal theory of coalition formation in policy debates.

Time Range

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Freshness

Last updated 2026-05-01 20:27:28; freshness should be verified.

Geography

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