The interactive analysis behind the programme on housing search, supply, and the spatial incidence of remote work. The diagram maps each stage of the work to the data and methods it uses and the findings it has produced. Every box links to its detail: each finding to the evidence behind it, and each data-and-methods box to its variable definitions, sources, and statistics.

Stages Data and methods Findings Origin-destination search-flow demand analysis Data Rightmove search enquiries Methods Origin-destination search-flow indices Definitions and statistics A family of search-flow indices Post-2020 demand rose fast and unevenly Searchers crossed city edges but not farther, so distance did not die Spatial housing-market (dis)equilibrium and inequality Data Stage 1 data Rightmove listings supply Methods Tightness (demand / supply) by travel-to-work area Theil index and LISA spatial statistics Definitions and statistics Tightness inequality fell to 2021, then surged to a 2025 high London and the South-East cooled: real regional divergence Search as a leading indicator of property prices Data Stages 1–2 data HM Land Registry sold prices Methods Fixed-effects lead-lag panel regression Definitions and statistics Tightness leads property-price changes by one to two years, not the reverse An early-warning signal for prices Incidence of remote work on housing costs and renter displacement Data Stages 1–3 data Occupation teleworkability Local supply elasticity Census tenure Methods Shift-share exposure event study Definitions and statistics Preliminary Teleworker inflow raises housing costs on non-teleworking locals where supply is inelastic A regressive cross-group externality Remote work and local labour markets (efficiency channel) Data Stages 1–4 data Census workplace / WFH UKHLS panel Methods Mover event study Local-multiplier regressions Definitions and statistics Preliminary Movers keep high-wage city jobs Remote work eases the spatial misallocation of labour: the efficiency gain Quantitative spatial general-equilibrium model: efficiency vs equity Data Stages 1–5 data ONS regional productivity Methods Quantitative spatial general-equilibrium model Welfare accounting Definitions and statistics Preliminary One mechanism, two consequences Housing-supply elasticity is the lever balancing efficiency and equity
The programme reads left to right on each row: the stage, its data and methods, and its findings. Data is cumulative; arrows down the left column show the sequence. Click any finding or any data-and-methods box for its detail.