The Nexus between Causal Macroeconomic Relations in Japan
Bibliographic record
Abstract
Japan achieved phenomenal economic growth after WWII. Starting in the early 1990s, however, the Japanese economy began experiencing a prolonged deflation-stagnation period widely known as the “Lost Decades”. Based on data from the World Bank and the Federal Reserve Bank of Saint Louis, this paper employs an autoregressive distributed lags (ARDL) model to find evidence of a long run relation among the real GDP, real imports, the real exchange rate, and the public debt-to-GDP ratio for Japan. Once cointegration is established with the Bounds Test, Granger Causality tests are performed by employing an estimated Vector Autoregressive (VAR) model with the same variables. The empirical results support Granger causality in all directions. In particular, we found real imports and public debt-to-GDP ratio to directly cause real GDP. Interestingly, the real exchange rate causes real GDP indirectly via imports. The public debt had a negative effect on GDP but did not wreak havoc on the Japanese economy. The study also examines whether former Prime Minister Shinzō Abe’s unprecedented macroeconomic policies and structural reforms launched in 2013, known as Abenomics, are pulling Japan out of its economic doldrums.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".