Monetary Policy Reaction Function in Open Economy Version: Empirical Evidence in Case of Pakistan
Bibliographic record
Abstract
Aftermath the globalization and financial liberalization the purpose of monetary policy deviates from economic growth to economic stabilization. Therefore monetary authority adjusts its policy rate in response to systematic changes in macroeconomic activities and business fluctuations. The rule which is followed to stable an economy at development path is called Taylor’s rule. This study empirically investigates monetary policy reaction function in case of Pakistan by applying Taylor’s rule (1993) nevertheless Johansan co integration test is employed for its open economy version. The monthly data from the period of January 2003 to December 2008 has been collected for the analysis. It is found that the coefficient of output gap and exchange rate gap are significant while coefficient of inflation gap is insignificant. The results depicted that inflation does not play significant role due to the monetary policy as such in the frame work of Pakistan’s economy. Therefore inflation targeted monetary policy does not suggest for Pakistan. To analyze the stability of coefficient ROLLING WINDOW technique was employed as it is found that monetary authority adopted inflation targeted monetary policy after 2002 which was not suitable as this study has shown.
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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 | 0.009 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".