Does Exchange Rate Policy Matter for Growth?
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Previous studies on whether the nature of the exchange rate regime influences a country's medium‐term growth performance have been based on a tripartite classification scheme that distinguishes between pegged, intermediate and flexible exchange rate regimes. This classification scheme, however, leads to a situation where two of the categories (intermediate and flexible) characterize solely the exchange rate regime, whereas the third (pegged) characterizes both the exchange rate regime and the monetary policy framework. Our study refines this classification scheme by accounting for different monetary policy frameworks, classifying monetary arrangements based on the presence of an explicit monetary policy ‘anchor’, such as the exchange rate or other targeted nominal variable. We estimate the impact of exchange rate arrangements on growth in a panel‐data set of 60 countries over the period 1973–1998. We find evidence that exchange rate regimes characterized by a monetary policy anchor, whether they are pegged, intermediate, or flexible, exert a positive influence on economic growth. We also find evidence that intermediate/flexible regimes without an anchor are detrimental for growth. Our results thus suggest that it is the presence of a monetary policy anchor, rather than the type of exchange rate regime per se , that is important for economic growth. Furthermore, our work emphasizes the importance of considering the monetary policy framework that accompanies the exchange rate arrangement when assessing the macroeconomic performance of alternative exchange rate regimes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it