Subjectivity in Mortgage Choice Decisions A UK Study

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Subjectivity in Mortgage Choice Decisions A UK Study Dr Alla Koblyakova Dr Timothy Eccles Department of Property Management and Development Nottingham Trent University UK

Subjectivity and Irrationality The irrationality of a thing is no argument against its existence, rather a condition of it. Friedrich Nietzsche 09 May 2019

Issues of Mortgage Choice and (Perceived) House Values Currently a lack of research Lack of use of UK data Limited direct date – what we have here are high quality research files 09 May 2019

The Importance of Mortgage Choice (drives) Interest rate Financial features Household welfare Household financial stability National aggregated macro-economic health 09 May 2019

And so… Our key question is – What drives mortgage choice? Economic fundamentals (obviously, a given) But what else? The role of subjective factors 09 May 2019

The Importance of House Values (perceived by owners/ households) (drives) Household wealth Household liquidity Macro-economic stability 09 May 2019

And so… Key question is – What drives house values? By which we mean, the perception of the value of their home by householders Because it is this that drives the household viewpoint (Again, we are looking here beyond rational expectations) 09 May 2019

House Prices 09 May 2019

Benefits of Owner Occupation (especially) Living Standards House Prices (control access to…) Benefits of Owner Occupation (especially) Living Standards Quality of Life Higher social status (culturally, a UK social stigma to rent) 09 May 2019

What we find… Inequality (specifically) Financial Illiterate (evidence) Sub-optimal, variable rate mortgages More risk & Larger loan (to buy a larger house) & Weaker liquidity position Over-optimism about their future wealth (and) Mis-value (their) house prices, over-estimating wealth (leading to…) 09 May 2019

Calamity! Least secure are taking the greatest risks And are feeling richer (Leading to…) Brits Behaving Badly (ie) Spend too much Save too little Generating over-response to stimuli (be they boom/ bust) And are, thus, a core danger to the wider economic system 09 May 2019

The Data Understanding Society Survey (USS) database, the extended version of the British Household Panel Survey (BHPS) Introduced in 2009, designed to be a panel of approximately 30,000 households and around 50,000 individuals, representing British residents at multiple time points Data samples incorporate both household and individual level data files To connect information between waves, files are linked by the cross-wave personal identifier, allowing observation of changes in the variables of interest Four cross-sectional samples of mortgage holders were drawn from the USS for waves 1-4 in order to explore subjective influences in mortgage choice decisions, covering the period 2010-2014 09 May 2019

Shortcomings in the Data Does not record mortgage type So, we track mortgage payments and compare these to (changes in) the BoE rate No interest rate given But published data on the rates is readily available Only new loans, not remortgages But this allows us to be sure that we can calculate the original LTV 09 May 2019

Formal Model   09 May 2019

Some Key Statistics 2010 2011 2012 2013 2014 Own.-Oc. Rate 70.1 67.9 66.7 64.6 63.1 Real HH Income Growth 0.6 -2.0 2.6 -0.7 -0.2 St. Variable Rate 3.962 4.081 4.224 4.372 4.450 Fixed for 2 years 3.778 3.350 3.555 2.707 2.457 V/F Differentials 0.184 0.731 0.669 1.665 1.993 St. Var. Margins 3.399 3.404 3.605 3.905 3.981 Fixed Margins 2.278 1.465 2.545 1.882 1.422 VR Balances 64.47 68.67 71.88 70.30 77.46 FR Balances 35.53 31.33 28.12 29.70 22.54

Description Owner occupier rates are in decline This is a generally ‘bad’ thing Real household disposable income is falling So, people cannot afford to buy Yet employment rates are high Difference between variable and fixed rates is increasing Variable rates ever more expensive, meaning that there is greater differential inequality And profitability is also diverging, encouraging profit maximising banks into specific selling behaviour 09 May 2019

Table 6. Subjective Property Value Equation   2 SLS 3 SLS Variable Coefficient t-value t- value Having Problems paying mortgage -0.612*** -2.476 --0.598*** -2.352 Having Financial Job -0.487*** -5.786 -0.456*** -5.298 Financial expectations for better 0.367*** 3.256 0.349*** 3.153 Having Highest Education -2.5982*** -5.675 -2.456 -5.376 Constant -1.786*** -6.513 -1.546*** -6.331 R2 0.468 0.445 F-statistics 184.96 09 May 2019

Description Subjectivity is reduced by one’s own experiences – eg having faced difficulties with repayments And with education – eg HE or a job in financial services Perceived house values increase with expectations of financial improvement. A form of myopia seems to take hold. 09 May 2019

Conclusions Despite the importance of this area, there is limited UK research, and even less based on defensible data Mortgage choice is not just a matter of personal choice, but can seriously impede both personal wealth and have major impacts on macro-economic health It is tempting to propose regulation to curb the behaviour of banks in pushing variable rate mortgages, offering greater LTVs on them But regulation of a ‘free’ market is always problematic, and there are questions over its efficacy Educated consumers make better choices, and so greater financial literacy programmes are indicated. But how to implement meaningful knowledge is problematic Compulsory disclosure of more detailed information is evidently needed to allow for greater transarency 09 May 2019