Monetary Policy, Trends in Real Interest Rates and Depressed Demand
Bibliographic record
Abstract
Over the last few decades, real interest rates have trended downward in many countries. The most common explanation is that this reflects depressed demand due to demographic, technological and other real factors such as income inequality. In this paper we explore the claim that these trends may have been amplified by certain features of monetary policy. We show that when long-run asset demands by households are C-shaped in relation to real interest rates, a feature we motivate through bequest motives, monetary policy has the potential to affect steady-state properties even if money is neutral in the long run. In particular, we show that if monetary policy reacts aggressively to inflation, this supports a steady state where inflation is close to the central bank’s target. However, the same aggressive policy simultaneously favours the emergence of, and the convergence to, a second stable and determinate steady state where both the real interest rate and inflation are lower and monetary policy is constrained by the effective lower bound. We discuss how fiscal policy can be used to escape this low-real-rate, low-inflation trap with the potential for a discontinuous response of long-run inflation.
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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 | 0.004 |
| 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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".