I am an economist working on questions related to housing markets, urban economics and economic geography.
I work as a lecturer at the Adam Smith Business School at the University of Glasgow.
I received my PhD from Toulouse School of Economics in 2023.
You are welcome to contact me at tuuli.vanhapelto@glasgow.ac.uk.
Working papers and work in progress
House Prices and Rents in a Dynamic Spatial Equilibrium Draft
Honorable mention (finalist) for the Best Student Paper Award at Urban Economics Association 2023 European Meeting
The Incidence of Housing Allowances: Quasi-Experimental Evidence VATT working paper
coauthored with
Essi Eerola,
Teemu Lyytikäinen,
Tuukka Saarimaa
This paper studies the effects of housing allowances on rents. Our research design is based on a reform that made the allowance more generous for small housing units as a quasi-experimental setting. We find that large increases in housing allowances for small housing units have little or no effect on their rents relative to larger units. Thus, the incidence of the reform is largely on allowance recipients and not on their landlords. Consistent with very moderate rent effects, we do not find evidence of recipient households responding to the increased incentive to choose small units. A possible explanation is that optimization frictions and short expected allowance spell duration limited demand responses to the reform.
Housing Search And Liquidity in Spatial Equilibrium Draft available upon request
coauthored with Thierry Magnac
Housing market segments differ in their liquidity, the ease of transacting. Transacting is often easier in more urban locations, for example. Better liquidity could be either due to exogenous segment characteristics, like higher matching efficiency in thicker markets, or due to endogenous segment popularity among buyers. We set up a model of housing search in the cross-section of multiple market segments that encompasses both mechanisms to rationalize the negative correlation of prices and sales times in the cross-section of cities. We show that the model is partially identified from segment-level observables. Taking the model to data in Finland, we find that the housing market in Finland consists of very heterogeneous segments, but differences in segment-level popularity (market tightness) contribute to liquidity differences more than differences in matching technology. Accounting for heterogeneity in market characteristics and spillovers between segments is important: a positive housing demand shock in some segments translates to decreased demand and longer sales times in others through changes in equilibrium sorting.