A New Method of Estimating Equilibrium Real Exchange Rate in Developing Countries
Bibliographic record
Abstract
How to assess the misalignments of real exchange rate in developing countries has been a difficult and unresolved issue. Over the decades, researchers have not found desirable methods to estimate the “Equilibrium Exchange Rate”. The Purchasing Power Parity (PPP) approach has limitations, and the fixed or managed floating exchange rate regimes in developing countries make the estimating more difficult. The purpose of this paper is to discuss the limitations of the Macroeconomic Balance approach and the existing PPP approach for estimating equilibrium exchange rate in developing countries, and introduce a new method–the Adjusted PPP method to assess exchange rate in developing countries. The new method includes the Human Development Index (HDI) to adjust the traditional PPP estimates. By introducing the adjustments of HDI, the big quality differences in non-tradable goods and services between developed and developing countries are adjusted for the exchange rate estimates. Also, as a case study, the paper estimated the exchange rate in China of 1991-2013.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".