Trade and Exchange Rate Competition in East Asia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Exchange rate manipulation—the active devaluation of a currency through intervention in the foreign exchange market—is a frequent trigger of international disputes. Yet it is not an obvious policy choice: as a blunt tool to boost export competitiveness, it is disliked by citizens and importers because of the loss of purchasing power it entails, and because it benefits those with investment abroad at the expense of those with savings at home. It is thus notable that a group of East Asian countries, from Japan and Korea to Thailand, undertake frequent and often large interventions to devalue their currencies. What explains their policy choice? We provide evidence that exchange rate depreciations are undertaken at the behest of export industries. Because lobbying activities in East Asian countries are not directly observable, we focus on Japan and Korea and construct a proxy measure of lobbying by exporters, drawing on news reports. We use machine learning to scale daily reports of industry demands in the two leading financial newspapers, the Japanese Nihon Keizai Shimbun and, in a robustness check, the Korean Hankyung, over twenty-five years. We find evidence that mounting public pressure by organized economic interest groups precedes intervention and induces currency depreciation.
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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) | 0.000 | 0.000 |
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