Replication Data for 'Influence by omission: The IMF’s lending capacity and central bank design' contains original data on central bank lender of last resort powers. The dataset covers 60 developing countries between 1994 and 2020. It was authored by Michael Gavin and last updated on 2026-07-06.
Use Cases
- Analyze the relationship between IMF resource access and central bank institutional strength based on the coded lender of last resort powers.
- Model the drivers of central bank reform trajectories based on the distinction between lender of last resort powers and other governance aspects like independence.
- Conduct event studies on crisis response, such as to the Covid shock, based on the dataset's country-year observations.
- Perform instrumental variable and dynamic panel estimations to test the paper's core hypothesis regarding 'influence by omission'.
Strengths
- Original data coded for 60 developing countries.
- Covers a 27-year time range from 1994 to 2020.
- Findings are described as robust across multiple model specifications and analyses.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the focus on 60 developing countries.
Provenance
- Source
- Michael A. Gavin Dataverse
- Collection Method
- Original data coding of central bank lender of last resort powers, as described in the associated paper.
- Time Range
- 1994 to 2020
- Freshness
- Last updated 2026-07-06 02:01:29; freshness should be verified.
- Geography
- 60 developing countries