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Record W4299555655 · doi:10.51952/9781847425546.ch004

Rents and returns in the residential lettings market

2002· book-chapter· en· W4299555655 on OpenAlexaboutno aff
David Rhodes, Peter Kemp

Bibliographic record

VenuePolicy Press eBooks · 2002
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic rentEconomicsBusinessFinancial economicsMarket economy

Abstract

fetched live from OpenAlex

The Conservative governments of Margaret Thatcher and John Major introduced a range of initiatives aimed at breathing new life into the private rental housing market. These included one measure – housing investment trusts – that was specifically aimed at attracting investment in the market by financial institutions (DoE, 1995). Since coming to power in 1997, ‘New’ Labour has made clear that it too sees an important role for the private rental sector (PRS) and that it would welcome investment by financial institutions (DETR, 2000a). While there has been a modest revival in the size of the PRS over the past decade (see Chapter One), there has been very little investment in the sector by financial institutions. Indeed, financial institutions currently own a negligible amount of private rental housing. There are a number of reasons why they have made no significant investment in the sector, but one of them is the lack of market information about the private rental market. In particular, very little regular and reliable information has existed about residential rents and rates of return (Crook et al, 1995; Coopers and Lybrand, 1996). This situation contrasts with the extensive market information that is available about equities, gilt investment markets and a range of commercial property market indices (Morrell, 1991, 1995). Likewise, there are a number of respected indices for house prices, including those developed by the Halifax Bank and the Nationwide Building Society. If the financial institutions are to enter the PRS on a significant scale, market information about rent levels and rental yields is necessary to inform their investment decisions (Crook and Kemp, 1999).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.258
Teacher spread0.201 · 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; a candidate call from one teacher head, not a consensus.

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
Published2002
Admission routes1
Has abstractyes

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