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Record W7010861489

Konut finansman yöntemlerinde riskler: hane halkının konut finansman yöntemlerini değerlendirmesine yönelik bir araştırma

2008· other· tr· W7010861489 on OpenAlexaboutno aff

Bibliographic record

VenueMarmara University Open Access System · 2008
Typeother
Languagetr
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsInflation (cosmology)Work (physics)Economic analysisQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

KONUT FİNANSMAN YÖNTEMLERİNDE RİSKLER: \nHANE HALKININ KONUT FİNANSMAN YÖNTEMLERİNİ DEĞERLENDİRMESİNE YÖNELİK BİR ARAŞTIRMA\n\nÜlkemiz ekonomisinde uzun yıllar boyu devam eden yüksek enflasyon ve faiz oranları nedeniyle etkin bir konut finansmanı sistemi oluşturulamamıştır. Son birkaç yıldır ekonomimizde istikrarın oluşturulmasına yönelik yapılan iyileştirmeler neticesinde enflasyon ve faiz oranları belli seviyelere kadar düşürülmüş ve bu iyileştirmelere paralel olarak ülkemizde etkin ve uzun vadeli bir konut finansman sisteminin oluşturulması için gerekli düzenlemeler yapılmaktadır. Ülkemizde oluşturulmaya çalışılan konut finansman sisteminin başarılı bir şekilde uygulanabilmesi ve tüketicilerin uygun şartlarda konut sahibi olabilmelerinin sağlanması için bireylerin;\n\ttercih edecekleri konut satın alma yöntemlerinin, \n\tkonut ve konut edinim yöntemleri konularındaki bilgi birikiminin,\n\tgelir düzeyleri ve tasarrufta bulunabilme imkanlarının,\n\tkonut talepleri ve konut talebindeki eğilim ve alışkanlıkların \nbilinmesinin önemli olduğu düşünülerek anket çalışması yapılmıştır. Yapılan çalışma ile esas olarak; kişilerin konut finansmanı konusunda sahip oldukları bilgi birikimlerinin tercih edecekleri konut satın alma yöntemleri üzerindeki etkisinin ölçülmesi amaçlanmıştır. \nYapılan çalışma sonucunda kişilerin tercih ettikleri konut satın alma yöntemlerinin; kişilerin sahip oldukları öğrenim düzeyine (ilkokul, ortaokul, lise, üniversite ve yüksek lisans) ve ipotekli konut kredileri kapsamında ülkemizde yapılan yasal düzenlemeler konusundaki bilgi sahipliğine göre farklılık göstermediği ancak, kişilerin üniversiteden mezun oldukları bölüme (“işletme-ekonomi-bankacılık” ve “diğer”) göre farklılık gösterdiği anlaşılmıştır. \nAnahtar Kelimeler: “Konut Finansman Sistemleri”, “Öğrenim Düzeyi”, “Mortgage Krizleri”, “Riskler”, “Hane Halkı”\n RISKS OF HOUSING FINANCE SYSTEMS:\nA RESEARCH FOR HOUSEHOLD’S EVALUATION OF \nHOUSING FINANCE SYSTEMS\nABSTRACT\nDue to high inflation and interest rates persisting in years in our country economy, a strong housing finance system has not been established so far. In recent years, due to economic stability accompanying with decreasing inflation and interest rates, legal arrangements have been done to establish a strong and long term housing finance system.\nIn order to establish a successful housing finance system in our country and for people to get home in relevant conditions, it is thought that it is important to know the people’s views on: \n\tChoices of housing finance system for home buying,\n\tKnowledge level about housing and housing finance systems,\n\tIncome level and capacity to save,\n\tHousing demands, tendencies and habits in housing demands.\nIn order to achieve this purpose a questionnaire was prepared. Which aimed to determine the effect of knowledge level while choosing house financing system.\nThe result of this paper shows that choices on house financing systems don’t differ according to level of education and level of knowledge about legal arrangement in mortgage system, but differ with regards to the department (management, economics, banking and others) which people were graduated from. \nKey Words: “Housing Finance Systems”, “Educational Level”, “Mortgage Crisis”, “Risks”, “Household”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.380
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0130.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.012

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.

Opus teacher head0.064
GPT teacher head0.251
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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