Towards a Pan-European property index : methodological opportunities

This study examines the methodological opportunities of index construction for the Pan-European property index, whose release is planned by the company Investment Property Databank (IPD). To address the question of temporal aggregation in appraisal indices, three index construction methods, namely "Stale Appraisal", "Linear Interpolation", and "Repeated Measures Regression", are tested for their accuracy in dealing with infrequent appraisals. Our model is based on a simulation approach, calculating appraised indices from a simulated "true index" of randomly generated returns, and directly comparing the statistical characteristics of these index returns to the true return. As broader context, this paper also gives an overview of the current theories in respect to general valuation issues on a disaggregate, aggregate and international level. We also investigate the European real estate market regarding currently applied market size measuring, structure and country performance. In particular, we explore crucial valuation issues that are relevant for the planned Pan-European property index to obtain the respect of the international investment community.

Department dc:contributor.department

Massachusetts Institute of Technology. Center for Real Estate

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Authors dc:creator

• Helfer, Friederike, 1976-
• Witta, Markus, 1972-

Advisor dc:contributor.advisor

• David Geltner.

• Architecture.
• Urban Studies and Planning.
• Center for Real Estate.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/59517

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/59517