European household credit markets continue to fall: Key findings from the ECRI Statistical Package
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
The ECRI Statistical Package 2013, Lending to Households in Europe has revealed that European households registered a second consecutive year of falling real values of loans: 2012 followed the historical first drop recorded in 2011. While debt reduction proceeds across the continent, deleveraging to disposable income and to GDP remains limited due to unequal and sluggish recovery. The year 2012 was therefore one of stagnation in household-credit markets. Aggregate housing loans in the EU registered negative real growth rates, illustrating long-term problems in the overall economy. Together with record-low interest rates on housing loans in some countries, this finding reflects lower consumer confidence and the increased strain on households’ medium-term income. While this year’s degree of credit reduction in the EU overall has not been as significant as in previous years, Euro Area (EA) households registered a bigger drop in household credit than in 2011, underlying the prevailing economic problems of last year. At the same time, the EA periphery continued to reduce its household debt by record levels. The stagnation is also present in the normally rather resilient Central and Eastern European countries where the credit reduction extends beyond the former periphery to Poland and Slovenia. Households in Hungary, Eastern Balkan countries and in the Baltic states continued to reduce their debt exposure significantly throughout 2012. The Key Findings relate to the more detailed ECRI 2013 Statistical Package covering 38 countries: the 27 EU member states, three EU candidate countries (Croatia, Turkey and the Former Yugoslav Republic of Macedonia), the EFTA countries (Iceland, Liechtenstein, Norway and Switzerland) and four key global economies (the United States, Australia, Canada and Japan). The purpose of the package is to provide reliable statistical information that allows users to make meaningful comparisons in time and between these countries.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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