Increase in Consumer Debt Preceding Crisis Due to Advancement in Technology, Further Evidence Supporting the Idea No Real Estate Bubble Existed Preceding Crisis Presented by Eddison Walters Risk Expectation Theory of the Global Financial Crisis of 2007 and 2008: The Case for Eddison Walters Modern Economic Analysis Theory
Notice bibliographique
Résumé
The researcher called for economic research to consider the potential effect of advancement in technology on analysis of economic data in Eddison Walters Modern Economic Analysis Theory in the future represented a paradigm shift in economic analysis that will significantly reduce the potential for error due to data distortion in the future. The foundation of the world's economy is based on the sharing of information, yet very little attention has been given to the effect of technology advancement in the analysis of data. The researcher of the current study highlighted the critical nature of sharing information to the development of the world’s economy in the past, as well as the critical nature of sharing information to the world’s economy today. Advancement in technology has drastically improved the sharing of information and has led to the globalized economy. The lack of evidence supporting the widely accepted theory of the Global Financial Crisis of 2007 and 2008 prompted the investigation by the current researcher aimed at gaining insight into economic factors that were responsible for conditions contributing to the Global Financial Crisis of 2007 and 2008. Walters (2018) presented evidence suggesting no financial bubble existed before the Global Financial Crisis of 2007 and 2008. The study resulted in the development of “Eddison Walters Risk Expectation Theory of The Global Financial Crisis of 2007 and 2008”. The theory presented an alternative explanation for the financial crisis. The researcher called for additional investigation to gain insight into the nature of the cause of the Global Financial Crisis of 2007 and 2008. Further investigation in Walters (2019) provided evidence supporting the idea, technological advancement led to the rapid growth in home prices before the Global Financial Crisis of 2007 and 2008. The result from the analysis of data in Walters (2019) revealed the following, 0.989 Adjusted R-square, 194.041 Mean Dependent Variable, 5.908 Square Error of Regression, and 488.726 Sum-of-Square Residual, from nonlinear regression analysis. The dependent variable in the study was, “home purchase price” and the independent variable was, “advancement in technology”. The current study continued the investigation into factors that were described in the literature which set the conditions leading to the Global Financial Crisis of 2007 and 2008. Gaining insight into the effect of technological advancement on the significant increase in consumer debt prior to the Global Financial Crisis will significantly contribute to the understanding of the economic environment before the Global Financial Crisis of 2007 and 2008. Insight into the effect of advancement in technology on the increase in consumer lending prior to the Global Financial Crisis of 2007 and 2008, will significantly contribute to the understanding of the Global Financial Crisis of 2007 and 2008.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».