Impact of the Exchange Rate Regime Change on the Value of Bangladesh Currency a
Bibliographic record
Abstract
Two distinctively different exchange rate regimes have been in place in Bangladesh – a fixed exchange rate regime from January 1972 – May 2003 and a floating exchange rate regime since June 2003. Since the change in regime, the value of Bangladesh currency ‘Taka’ has fallen by more than 20% against the US Dollar during a period when the US Dollar itself has been losing value. The objective of this paper is to analyze whether the exchange rate regime change in Bangladesh has had any significant impact on the value of its currency i.e. whether the regime change is associated with the loss in the value of Taka. The fact that during the fixed regime, Bangladesh pursued an active exchange rate policy as reflected by the policies of Bangladesh Bank during that period is what makes the question worth asking. In one way, this paper tests the efficiency of Bangladesh Bank in terms of pricing its currency during the fixed regime. In the process, the paper also tries to identify the variables that play important roles in determining the exchange rate of Taka. In order to provide context; the exchange rate system in Bangladesh – its past, its present; the causes of the change in the system and a comparative analysis of the systems have been briefly discussed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".