Current account balances, exchange rates, and fundamental properties of Walrasian CGE world models: A pedagogical exposition
Bibliographic record
Abstract
This paper addresses theoretical aspects of global multinational trade models of the computable general equilibrium (CGE) type. We define and discuss the concepts of model homogeneity, model closure rules, and consistency in calibration. We examine and illustrate these issues using a highly simplified skeleton model derived from the PEP-w-1 CGE world model, to represent the essential structure of world trade models. Model closure issues, including how to correctly fix current account balances, are scrutinized. We also consider the role of nominal exchange rates in Walrasian “real” CGE models (without money), which can be, and often are written without exchange rates. But when exchange rates are present, we show that a model can be solved equivalently by exogenously fixing either exchange rates (FE) or regional price indexes (FP), and we weigh the advantages of either closure for economic interpretation of simulation results. The model is implemented in GAMS and is made available to readers as a supplementary download.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".