When Do IMF Agreements Serve as a Seal of Approval
Bibliographic record
Abstract
Conditional lending by the IMF is predicated, in part, on the belief that IMF programs are associated with increased capital inflows to participating countries. This belief is generally consistent with theoretical arguments in the academic literature (e.g., Bird and Rowlands 1997; Bordo et al. 2004) but the empirical literature often finds otherwise (e.g., Jensen 2004). This paper argues that the effect of IMF agreements on a country’s access to foreign direct investment (FDI) depends on its domestic institutions. Access to FDI depends on a country’s ability to credibly commit to implementation, and this ability varies systematically across regime type. The theory is empirically tested using a treatment effects model with a Markov transition in the treatment equation in a dataset covering 142 countries from 1976 to 2006. We find that in democracies IMF program participation has a strong positive effect on FDI inflows and in autocracies participation has a weak negative effect.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".