Investigating Exports Performance between Malaysia and OIC Member Countries from 1997-2012
Bibliographic record
Abstract
The purpose of this study is to examine the impact of macroeconomic factors such as GDP, CPI, TRGDP and ERon exports between Malaysia and other OIC countries using a panel data for the period of 1997-2012. The panelunit root tests have been applied to confirm the stationarity and level of integration. The overall unit root tests(Dickey & Fuller, 1979; Im, Pesaran, & Shin, 2003; Levin, Lin, & James Chu, 2002) result shows that all thevariables are stationary at level and become non-stationary after taking first difference. The Kao cointegrationtest results approved the cointegration among the panel of proposed countries. After confirm the stationaritylevel and cointegration FMOLS test is employed to analyze whether a long run relationship between variablesexist. The results obtained show that only GDP, TRGDP and ER have significant effect on exports. In examiningthe short-run relationships among variables, a panel ECM is the applied and it is observed that only ER andTRGDP have positive effect on exports. Results from this study can be used as guidance for policy makers onexports where government can give more attention on both ER and TRGDP to influence exports in the short run.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".