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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2010
Data sources: EconStor
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Estimating Firms' Demand for Agglomeration

Authors: Hans Koster; Jos N. van Ommeren; Piet Rietveld;

Estimating Firms' Demand for Agglomeration

Abstract

The market for commercial properties is characterised by extreme heterogeneity in demand. In this paper, we aim to gain more insight in the heterogeneity in demand for employment agglomeration and size of the rental property using a two-stage hedonic approach following Bajari and Benkard (2005). We use unique micro-data of properties’ attributes as well as of firm characteristics. Given assumptions on the functional form of the production function, we identify firm-specific parameters using a nonparametric control function approach that corrects for endogeneity. The results show that agglomeration benefits are capitalised in rents: a one standard deviation increase in agglomeration leads to an increase in the annual rents of about 6 percent. It is found that larger and business services firms are willing to pay (substantially) more for agglomeration. Furthermore, for office buildings a 10 percent increase in number of employees increases the marginal willingness to pay for floor space with 8 percent, which suggests that internal returns to scale are present.

Country
Netherlands
Keywords

ddc:330, Demand estimation, commercial properties, hedonics, nonparametric estimation, L1, Demand estimation, nonparametric estimation, hedonics, commercial properties, C14, jel: jel:C14, jel: jel:L1

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze