When Good Investments Go Bad: The Contraction in Community Bank Lending After the 2008 GSE Takeover
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In September 2008, the government-sponsored enterprises (GSEs) Fannie Mae and Freddie Mac were placed into conservatorship and dividend payments on common and preferred shares were suspended. As a result, share prices fell to nearly zero and many banks across the country lost the value of their investments in the preferred shares. We estimate more than 600 depository institutions in the United States were exposed to at least $8 billion in investment losses from these securities. In addition, fifteen failures and two distressed mergers either directly or indirectly resulted from the takeover. Since these GSE investments were considered to be safe investments by banks, regulators, and rating agencies, we consider these losses to be exogenous shocks to bank capital, and use this event to examine the relationship between community bank condition and lending during this crisis. We find that in the quarter following the takeover of Fannie Mae and Freddie Mac, the measured Tier 1 capital ratio at exposed banks fell about three percent on average, and loan growth at exposed banks with median capitalization was about 2 percentage points lower compared to other banks in the following quarter. Consequently, considering the set of community banks that incurred about $2 billion in GSE-related losses, and assuming that each bank reduced loan growth by 2 percentage points, the estimated aggregate lending drop among these banks would be roughly $4 billion.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it