The Quality of Real Estate Data: The Italian Case

The chapter1 discusses issues concerning the quality of property data from different sources and resulting implications for market participants. It is divided into two sections. In the first section, we discuss the nature and availability of property data for the Italian market. Our initial exploration of the quality and accessibility of some domestic data documents the presence of many property data sources, each of which uses different methods of data collection. The high number of data sources and their methodological heterogeneity produce excessive data discrepancies, hardly compatible with efficient research and professional investment processes. Using a set of longitudinal aggregated property values, we proceed to estimate the level of uniformity of data using correlation and cointegration analysis.

[1]  Robert F. Engle,et al.  Forecasting and testing in co-integrated systems , 1987 .

[2]  D. Geltner Smoothing in appraisal-based returns , 1991 .

[3]  W. Ziemba,et al.  The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice , 1993 .

[4]  Michael J. Seiler,et al.  Diversification Issues in Real Estate Investment , 1999 .

[5]  Kerry D. Vandell,et al.  Illiquidity and Pricing Biases in the Real Estate Market , 2007 .

[6]  R. Edelstein,et al.  How Does Appraisal Smoothing Bias Real Estate Returns Measurement? , 2006 .

[7]  David K. Guilkey,et al.  Transactions-Driven Commercial Real Estate Returns: The Panacea to Asset Allocation Models? , 1992 .

[8]  P. T. Kolbe,et al.  Investment Analysis for Real Estate Decisions , 1984 .

[9]  Stephen A. Ross,et al.  Risk and return in real estate , 1991 .

[10]  Alternative Theories of Appraisal Bias , 2006 .

[11]  P. Phillips,et al.  Asymptotic Properties of Residual Based Tests for Cointegration , 1990 .

[12]  Susan Hudson-Wilson Why Real Estate? , 2001 .

[13]  Tsong-Yue Lai,et al.  Appraisal Smoothing: The Other Side of the Story , 1998 .

[14]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[15]  D. Geltner Bias in Appraisal‐Based Returns , 1989 .

[16]  William N. Goetzmann,et al.  Two Decades of Commercial Property Returns: A Repeated-Measures Regression-Based Version of the NCREIF Index , 2000 .

[17]  Min Qi,et al.  Loss given default of high loan-to-value residential mortgages. , 2009 .

[18]  Sau Kim Lum Property price indices in the Commonwealth: Construction methodologies and problems , 2004 .