Getting it Wrong: How Faulty Monetary Statistics Undermine the Fed, the Financial System, and the Economy

William A. Barnett

A leading economist contends that the recent financial crisis was caused not by the failure of mainstream economics but by corrupted monetary data constructed without reference to economics. Blame for the recent financial crisis and subsequent recession has commonly been assigned to everyone from Wall Street firms to individual homeowners. It has been widely argued that the crisis and recession were caused by “greed” and the failure of mainstream economics. In Getting It Wrong, leading economist William Barnett argues instead that there was too little use of the relevant economics, especially from the literature on economic measurement. Barnett contends that as financial instruments became more complex, the simple-sum monetary aggregation formulas used by central banks, including the U.S. Federal Reserve, became obsolete. Instead, a major increase in public availability of best-practice data was needed. Households, firms, and governments, lacking the requisite information, incorrectly assessed systemic risk and significantly increased their leverage and risk-taking activities. Better financial data, Barnett argues, could have signaled the misperceptions and prevented the erroneous systemic-risk assessments. When extensive, best-practice information is not available from the central bank, increased regulation can constrain the adverse consequences of ill-informed decisions.

Business & EconomicsBusiness & Economics · high confidenceBusiness & Economics81 signalsLlm Classifier: Business & Economics -> Business & EconomicsGoogle Books: Business & Economics -> Business & EconomicsKeyword Classifier: Arts & Criticism -> Arts & CriticismEssays & Cultural CriticismLiterature & WritersMoney, Markets & Economic Policy
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • U.S. Federal Reserve45%
  3. 03 Suggested argument

    Faulty, corrupted monetary statistics—built without reference to relevant economics—made central-bank monetary aggregation obsolete, causing systemic-risk misperceptions that amplified leverage and risk-taking during the crisis and recession.

    Model confidence 62%

  4. 04 Reading orientation

    55 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 78%.