Abstract

Imperfect information in rental sector and housing-induced returns heterogeneity among occupiers are typically estimated with cross-sectional single-equation models. This approach leads to the estimation of conspicuous wedges in insulation investment propensity between tenants vs owner–occupiers (≥20 percentage points) and low-return vs high-return dwellings households (0.10–0.20pp) in the UK. I analyse their sensitivity to assumptions on unobservables à la Oster (2019) and Cinelli and Hazlett (2020). According to the former’s parametrization, under equally strong observables and unobservables, the effect of split incentives on loft/wall insulation investment can be up to 40%/26% lower, while the effect of housing choices is unaltered. The latter’s strategy suggests that an equal selection scenario would reduce by at least 60% the split incentives estimates, whereas non-random housing would just cause the estimates to drop by less than one third. Hence, I quantify a certain degree of selection on research conclusions and offer some convenient tools to integrate in the assessment of the sources of under-retrofitting with cross-sectional data.

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