How to Promote Fed Independence: Perspectives from Political Economy and History
Bibliographic record
Abstract
In two short histories of the independence of the U.S. Federal Reserve Bank since its creation in 1913—the first with respect to the Fed's monetary policymaking, the second focused on its regulatory policymaking—the author shows that the range of the Fed's powers has varied greatly over time, and that changes in those powers have had major effects on the extent of Fed independence. Moreover, the shifts over time in Fed powers reflect, to a significant degree, conscious trade‐offs by Fed leaders. A large number of somewhat surprising Fed positions on important regulatory matters can be explained as more or less deliberate attempts to preserve the Fed's monetary powers from political interference by yielding some of its independence in exercising its regulatory authority. In a case involving one of the most destructive U.S. financial regulatory policies, the Fed's effective neutrality on, and thus failure to support, the elimination of restrictions on interstate branch banking is seen as contributing to the chronic instability of the U.S. banking system, which has suffered some 20 major crises since the early 1800s (as compared to the crisis‐free Canadian system, with its nationwide banking from its inception). The Fed's reluctance to intervene is attributed to its unwillingness to antagonize powerful Congressional supporters of state banking interests and, more generally, to a “game of bank bargains” that can be seen at work in the political economy of virtually all countries. In more recent times, the most costly episode in this time‐honored game features a series of implicit or, in some cases, explicit agreements between large U.S. banks and urban activist groups—under the aegis of the Community Reinvestment Act, and with the oversight and implicit blessing of the Fed—to make on the order of $4.6 trillion loans to “subprime” borrowers in exchange for the activists’ (and the Fed's) support in Congressional merger hearings. The resulting nationwide debasement of mortgage underwriting standards and sheer volume of “toxic assets,” in combination with clearly inadequate capital requirements (which the Fed also failed to correct), are viewed as if not the principal cause of the crisis, a far bigger contributor than, say, the Fed's widely criticized unwillingness to tighten monetary policy in the early 2000s. To prevent the Fed from continuing to sacrifice its independence in regulatory matters to preserve its freedom to conduct monetary policy, the author proposes that authority for regulatory and monetary policy be vested in two separate regulatory bodies. If carried out, such a policy change would enact a proposal made by then Treasury Secretary Hank Paulson in 2008, just before the global financial crisis hit.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.049 |
| Scholarly communication | 0.019 | 0.018 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".