Temporal causal relationship between stock market capitalization, trade openness and real GDP: evidence from Thailand
Bibliographic record
Abstract
This study examines both short-run and long-run causal relationship between stock market capitalization, trade openness and economic growth in Thailand. Quarterly data over the period from the first quarter of 1993 to the fourth quarter of 2013 are used in the analysis. The results from this study show that there exists a unidirectional long-run causality running from stock market capitalization and trade openness to real GDP. In the short run, stock market capitalization does not causes economic growth while trade openness negatively cause it. Furthermore, there exist short-run bidirectional negative causations between economic growth and trade openness. However, the short-run phenomena are temporary. The long-run relationship shows that both market capitalization and trade openness are important determinants of real GDP. Based upon the results from this study, policymakers should pay attention to measures that are able to enhance stock market capitalization and trade openness if the long-run target is to achieve high economic growth rate.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".