Bibliographic record
Abstract
Between the start of the financial crisis in the third quarter of 2007 and the third quarter of 2008, Austrian household sector losses arising from investment in tradable securities amounted to approximately EUR 24 billion. This study uses micro and macro data to examine the possible consequences of this loss of wealth on the consumption behavior of households. Micro data for Austria indicate that owing to unequal distribution, it is primarily the wealthier households that have been directly affected by the crisis. However, all households may be impacted by the consequences of the financial crisis via confidence effects, irrespective of whether they hold securities or not. Estimates based on macro data show that the marginal propensity to consume out of wealth of Austrian households is 0.05 and thus within the international average. Results of Oesterreichische Nationalbank (OeNB) simulations using a macroeconometric model indicate that a decrease in wealth has a relatively minor effect on private consumption and economic growth in Austria. Moreover, this effect only occurs with a substantial lag. Due to the historic singularity of the current financial crisis, however, above all the indirect confidence effects could be more intense than estimated.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".