The Real Exchange Rate Misalignment: Application of Behavioral Equilibrium Exchange Rate BEER to Morocco1980Q1–2012Q4
Bibliographic record
Abstract
This study is an attempt to estimate the behavioral equilibrium exchange rate in Morocco. Since the equilibrium value is unobservable, we use a set of fundamentals supposed to affect the exchange rate movements including the real net capital flows (NKF), terms of trade shocks (TOT), government fiscal stance (GOV), foreign reserve level (RES), index of monetary policy (MOP) and relative productivity (PROD) to get it. Using quarterly data from 1980Q1 to 2012Q4, the empirical analysis commences by checking the stationarity of the variables that turn out to be all stationary at first difference. Then, using the cointegration test and the Vector-Error Correction Model of the Moroccan Dirham exchange rate as function of the indicated macroeconomic fundamentals, the regression shows that the main fluctuations of the real effective exchange rate are due to trade openness, government spending, terms of trade, the productivity progress, monetary policy and net capital inflow. Accordingly, and using HP decomposition filter we figure out three periods of under/overvaluation ranging from 2.80% under to 2.16% over equilibrium level, furthermore, the misalignment from the equilibrium level needs from five to six years to be eliminated.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".