Real Effective Exchange Rate,Fixed Asset Investment and Economic Growth——Based on the Experience of G-7 Countries
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Bibliographic record
Abstract
Taking seasonal data of G-7 countries over the period of 1995 to 2012 as sample,we estimate their co-integration equations about growth rate of fixed asset investment by means of autoregressive distributed lag model and bound testing approach proposed by Pesaran et al.in 2001.This paper aims at analyzing the effect which volatility of real exchange rate has on fixed asset investment and attempts to provide some references for research on Chinese exchange rate reforms.We find in the short run,real effective exchange rate has positive effect on investment in America,Germany,France,England and Canada;in the long run,a real appreciation could stimulate domestic investment in Japan,Germany,France,England and Canada.The conclusion is that,except for Italy,an appreciation promotes domestic investment but varies in degree with different countries.
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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 | 0.001 | 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