The dynamics of inflation, exchange rates and the trade balance in a small economy
Bibliographic record
Abstract
Purpose The purpose of this study is to examine the temporal relationships between inflation and exchange rate changes and their implications for the trade balance in Uganda, which saw persistent trade deficits, rising inflation and disinflation episodes, as well as significant exchange-rate realignments and other liberalization measures over the sample period considered. Design/methodology/approach The short-run dynamics of the variables in question and the pattern of their long-run relationships are examined applying the bounds testing approach to cointegration on quarterly data. Findings The estimates suggest that, in the long run, a real depreciation leads to an increase in inflation; and that both real depreciation and inflation exert no significant effect on the trade balance. The estimated short-run dynamics suggest a causal relationship between the trade balance and the real exchange rate and between the real exchange rate and inflation, which is also found responsive to developments in the foreign sector. Taken together, the short-run and long-run multipliers seem to provide a weak support for the J-curve effect, while no evidence is found for the presence of the S-curve effect. Originality/value The study sheds light on the relationship among real exchange rate, inflation and the trade balance in the context of a small developing economy; it highlights that an improvement in the trade balance requires more than an appropriate exchange rate policy and underscores the importance of other policies in strengthening the external sector of the economy.
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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 | 0.005 |
| 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 | 0.001 | 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".