Comparing prices and rents in Central London with new data

Posted by Dr Philippe Bracke, LSE and SERC As homeownership rates fall across the country, ‘Generation Rent’ seems here to stay. But beyond the media coverage, we know surprisingly little about the private rented sector – even down to the most basic issue: price dynamics

Prices, rents, and homeownership: three essays on housing markets

This thesis includes three self-contained chapters whose common theme is the analysis of house price and rent movements, and how these movements influence the economic actions of individuals. In Chapter 1, I analyse a micro dataset on housing sales and rentals in Central London. I show that the ratio between prices and rents differ across property types: bigger and better located properties have higher price-rent ratios. These differences in price-rent ratios can be explained through a hedging model where households avoid rent risk by increasing their demand for homeownership. Consistently with this hypothesis, I find that rental prices for bigger properties and properties in more expensive neighbourhoods are not growing significantly faster than for other properties, but are more volatile. In Chapter 2, together with my two co-authors Christian Hilber and Olmo Silva, I study the relationship between homeownership and entrepreneurship by exploiting the longitudinal dimension of the British Household Panel Survey (BHPS) and constructing a detailed monthly-spell dataset that tracks individuals' job histories and tenure choices, coupled with other time-varying characteristics. Our fixed-effect estimates show that purchasing a house reduces the likelihood of starting a business by 20-25%. This result is driven by homeowners with mortgages and persists for several years after entering homeownership. The negative relationship can be rationalised by portfolio considerations: leveraged housing investments crowd out entrepreneurial investments. Alternative explanations based on credit constraints find little support in our data. In Chapter 3, I analyse the duration of house price upturns and downturns in the last 40 years for 19 OECD countries and provide two results. First, upturns display duration dependence: they are more likely to end as their duration increases. Second, downturns display lagged duration dependence: they are less likely to end if the previous upturn was particularly long. Both these facts are consistent with a boom-bust view of housing price dynamics, where booms represent departures from fundamentals that are increasingly difficult to sustain, and busts serve as readjustment periods

History dependence in the housing market

Using the universe of housing transactions in England and Wales in the last twenty years, we document a robust pattern of history dependence in housing mar- kets. Sale prices and selling probabilities today are affected by aggregate house prices prevailing in the period in which properties were previously bought. We investigate the causes of history dependence, with its quantitative implications for the post-crisis recovery of the housing market. To do so we complement our analysis with administrative data on mortgages and online house listings, which we match to actual sales. We find that high leverage in the pre-crisis period and anchoring (or reference dependence) both contributed to the collapse and slow recovery of the volume of housing transactions. We find no asymmetric effects of anchoring to previous prices on current transactions; in other words, loss aversion does not appear to play a role over and above simple anchoring

History dependence in the housing market

Using the universe of housing transactions in England and Wales in the last twenty years, we document a robust pattern of history dependence in housing markets. Sale prices and selling probabilities today are affected by aggregate house prices prevailing in the period in which properties were previously bought. We investigate the causes of history dependence, with its quantitative implications for the post-crisis recovery of the housing market. To do so we complement our analysis with administrative data on mortgages and online house listings, which we match to actual sales. We find that high leverage in the pre-crisis period and anchoring (or reference dependence) both contributed to the collapse and slow recovery of the volume of housing transactions. We find no asymmetric effects of anchoring to previous prices on current transactions; in other words, loss aversion does not appear to play a role over and above simple anchoring

The time value of housing: historical evidence from London residential leases

Most housing transactions in London involve trading long leases of varying lengths. We exploit this feature to estimate the time value of housing --- the relationship between the value of a property and the length of time it will be owned for --- over the range 1-99 years. To do so, we compile a unique historical dataset from 1987 to 1992 to abstract from current institutional features of the UK system, for instance rights to extend leases that could confound our results. By applying hedonic techniques to these data we provide new evidence on how the market values leasehold properties. We find that the time value of housing over the range 1-99 is similar to an exponential shape, a finding that suggests sophisticated pricing behaviour in the London residential market. Digging deeper, however, we show that leasehold prices depart from this predictable pattern in a way that is consistent with a declining discount rate schedul

Homeownership and Entrepreneurship: The Role of Commitment and Mortgage Debt

We study the link between homeownership and entrepreneurship using a model of occupational choice and housing tenure where homeowners commit a fixed budget to mortgage payments. Our model predicts that: (i) mortgage commitments, by amplifying risk aversion, diminish the likelihood that homeowners start a business; (ii) the negative link between homeownership and entrepreneurship is increasing in mortgage debt; and (iii) the negative relation is more pronounced for entrepreneurs in risky sectors. Exploiting the longitudinal dimension of the British Household Panel Survey to control for unobservables, we test and confirm these predictions. Leveraged home-buyers are 30% less likely to become entrepreneurs

Ferraris, the legend

At the end of the eighteenth century, a large-scale map of the Austrian Netherlands and the Prince-Bishopric of Liege was manufactured, covering more or less the current territory of Belgium. The work for this Carte de Cabinet was carried out by artillerists under the guidance of count Joseph de Ferraris, who was commissioned for the task by the Habsburg government. At the time that the map was designed, no modern legend was included. This paper tries to fill that gap by presenting a legend that was constructed more systematically than any of its predecessors. It is based on the structure of the legend of the Topographic Map of Belgium and the CORINE land cover map, making it an easy-to-use tool for modern researchers. The problems encountered during the development of the legend are described, and the link between the Carte de Cabinet and eighteenth-century French cartography as well as with cartographic manuals is also discussed

Mortgage debt and entrepreneurship

We study the link between mortgage debt and entrepreneurship using a model of occupational choice and housing tenure in a setting where loans are recourse|like in the UK and several US states. Our model shows that as long as the mortgage interest rate exceeds the risk-free rate: (i) mortgage debt diminishes the likelihood of entrepreneurship by amplifying risk aversion; and (ii) the negative relation between mortgage debt and entrepreneurship increases with income volatility. Our model also shows that the link between housing equity and entrepreneurship is ambiguously signed because of competing portfolio and wealth effects. We use the British Household Panel Survey to test and confirm the model predictions, and deal with unobservable heterogeneity employing three research designs | individual fixed effects, housing-spell fixed effects, and instrumental variables. A one standard deviation increase in leverage reduces the probability of entrepreneurship by 10-20 percen

Homeownerhip and entrepreneurship

We study the link between homeownership and entrepreneurship by exploiting the longitudinal dimension of the British Household Panel Survey (BHPS) and constructing a detailed monthly-spell dataset that tracks individuals‟ job history and tenure choice, coupled with other time-varying characteristics. Our fixed-effects estimates show that purchasing a house reduces the likelihood of starting a business by 20-25%. This result is driven by homeowners with mortgages and persists for several years after entering homeownership. The negative link can be rationalized by portfolio considerations: leveraged housing investments crowd out entrepreneurial investments. Alternative explanations based on credit constraints find little support in our data

History dependence in the housing market

Using data on the universe of housing transactions in England and Wales over a twenty-year period, we document a robust pattern of history dependence in housing markets. Sale prices and selling propensities are affected by house prices prevailing in the period in which properties were previously bought. We investigate the causes of history dependence complementing our analysis with administrative data on mortgages and online house listings, which we match to actual sales. We find that cognitive and financial frictions explain the history dependence in the data. Both contributed to the collapse and slow recovery of the volume of housing transactions in the post-crisis period