PENENTUAN NILAI TUKAR MATA UANG ASING DENGAN MENERAPKAN KONSEP PARITAS DAYA BELI
Bibliographic record
Abstract
The concept of relative purchasing power parity is applied to evaluate the exchange rates for currencies such as: the German Mark, Japanese Yen, British Poundsterling, French Franc, Swedish Krona, Italian Lira, and the Canadian Dollar against the USA dollar. Another objective of the study is to evaluate the sensitivity of consumer price indices to exchange rates for each country as well as to test for differences between atual exchange rates and their PPP predicted rates. The results show that in the long-run, actual exchange rates continually move toward the purchasing power predicted rates. On the other hand, in the short-run, the actual and parity exchange rates often experience disequilibrium. It was also found that positive changes in society's purchasing power caused positive changes in the actual exchange rates in every country except Japan. Abstract in Bahasa Indonesia : Konsep paritas daya beli relatif diterapkan untuk mengukur nilai tukar mata uang beberapa negara yaitu - Mark Jerman, Yen Jepang, Poundsterling Inggris, Franc Perancis, Krona Swedia, Lira Italia dan Dolar Kanada, terhadap Dolar Amerika. Selain itu, penelitian ini bertujuan melihat sensitivitas perubahan indeks harga konsumen terhadap perubahan nilai tukar mata uang tiap negara terhadap Dolar Amerika serta menguji apakah terdapat perbedaan secara signifikan antara nilai tukar aktual dengan nilai tukar berdasarkan konsep paritas daya belinya. Hasil penelitian ini menunjukkan bahwa dalam jangka panjang, nilai tukar aktual akan bergerak kembali mendekati nilai tukar paritas daya belinya. Sebaliknya dalam jangka pendek, nilai tukar aktual dan nilai tukar paritas daya belinya seringkali mengalami disekuilibrium. Ditemukan juga bahwa setiap perubahan positif daya beli masyarakat menyebabkan adanya perubahan positif nilai tukar aktual mata uang setiap negara, kecuali negara Jepang. Kata kunci: paritas daya beli, mata uang, kurs valuta asing
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".