1. bookVolume 38 (2022): Issue 1 (March 2022)
    Special Issue on Price Indices in Official Statistics
Journal Details
First Published
01 Oct 2013
Publication timeframe
4 times per year
access type Open Access

Sub-National Spatial Price Indexes for Housing: Methodological Issues and Computation for Italy

Published Online: 29 Mar 2022
Volume & Issue: Volume 38 (2022) - Issue 1 (March 2022)<br/>Special Issue on Price Indices in Official Statistics
Page range: 57 - 82
Received: 01 Aug 2020
Accepted: 01 Apr 2021
Journal Details
First Published
01 Oct 2013
Publication timeframe
4 times per year

It is essential to measure within-country differences in housing costs in order to evaluate costs of living, assessing and comparing poverty levels, quantifying salaries and disposable income of families and finally for designing housing policies at local level. To the authors knowledge, no studies have yet been carried out on the computation of Space Price Indexes for Housing Rents (SPIHRs). In this article we computed preliminary estimates of sub-national SPIHRs by using hedonic regression model, which is an extension of the Country Product Dummy method, for all the Italian regions. The hedonic regression is generally used to obtain multilateral spatial indexes, thus allowing us to obtain multilateral SPIHRs for the Italian regions. The estimates have been done using 2017 data from the Real Estate Market Observatory which is a part of the Italian Agency of Revenue and Tax. This data source is the most comprehensive source of information on Italian houses price rents with a wide geographical coverage, including data for each Italian municipality. The obtained results show significant differences across the Italian regions, thus highlighting the importance of calculating SPIHR in Italy on a regular basis and the need to continue researches in this field.


Aten, B. 2005. Report on Interarea Price Levels, 2003, working paper 2005–11, U.S. Bureau of Economic Analysis. Available at: https://www.bea.gov/system/files/papers/WP2005-11.pdf (accessed May 2020). Search in Google Scholar

Aten, B. 2008. Estimates of State and Metropolitan Areas Price Parities for Consumption Goods and services in the United States, 2005’, U.S. Bureau of Economic Analysis. Available at: https://www.bea.gov/system/files/papers/P2008-1.pdf (accessed May 2020). Search in Google Scholar

Aten, B.H. 2017. “Regional price parities and real regional income for the United States”, Social Indicators Research, 131(1): 123–143 DOI: https://doi.org/10.1007/s11205-015-1216-y.10.1007/s11205-015-1216-y Search in Google Scholar

Aten, B.H. 2019. “Case Study of Subnational PPPs: United States”, paper presented at the 4th Task force meeting the ICP, World Bank, in May, Paris. Available at: https://pubdocs.worldbank.org/en/148641591895276884/pdf/ICP-Annual-Report-2019.pdf (accessed May 2020). Search in Google Scholar

Aten, B.H. and E. Figueroa. 2015. “Real Personal Income and Regional Price Parities for States and Metropolitan Areas 2009-2013”, Survey of Current Business, 95(7): 1–4. Search in Google Scholar

Behrmann, T., and B. Goldhammer. 2017. “New developments in the field of house and rental price indices in German price statistics in the light of the hedonic method.” In: Deutshe Bundesbank-Ottawa Group (2017), 15th Meeting of the Ottawa Group on Price Indices, Hosted by the Deutshe Bundesbank, 10–12 May, Eltville am Rhein, Germany. Available at: https://www.bundesbank.de/resource/blob/635276/865b648d8fb3d6a23-d327e59c2f48040/mL/2017-05-10-ottawa-group-02-2-abstract-data.pdf (accessed May 2020). Search in Google Scholar

Biggeri, L., T. Laureti, and F. Polidoro. 2017. “Computing sub-national PPPs with CPI data: an empirical analysis on Italian data using country product dummy models”, Social Indicators Research 131(1): 93–121. DOI: https://doi.org/10.1007/s11205-015-1217-x.10.1007/s11205-015-1217-x Search in Google Scholar

Biggeri, L., and M. Pratesi. 2017. “Monetary poverty indicators at local level: definitions, methods of estimations and comparisons in real terms.” In Proceedings of the 60th World Statistics Congress of the International Statistical Institute, 16–21 July, Marrakech, Marocco. Available at: http://www.centrodagum.it/wp-content/uploads/2018/07/Biggeri-Pratesi-ISI2017.pdf (accessed June 2020). Search in Google Scholar

Biggeri, L., and T. Laureti. 2018. “Publications, experiments and projects on the computation of spatial price level differences in Italy”, paper presented at the 3rd Task force meeting the ICP, World Bank, 27th September, Country case studies: Italy. Available at: www.worldbank.org/en/programs/icp/brief/tf03-doc03 (accessed May 2020). Search in Google Scholar

Billard, L, and E. Diday. 2000. Regression analysis for interval-valued data, In Data Analysis, Classification, and Related Methods. Springer: 369–374. DOI: https://doi.org/10.1007/978-3-642-59789-3_58.10.1007/978-3-642-59789-3_58 Search in Google Scholar

Billard, L., E. Diday. 2002. “Symbolic regression analysis, In: Classification, Clustering and Data Analysis”, In Proceedings of the Eighteenth Conference of the International Federation of Classification Societies (IFCS’02), July 16–19, 2002. Krakow, Poland, Springer: 281–288. DOI: https://doi.org/10.1007/978-3-642-56181-8_31.10.1007/978-3-642-56181-8_31 Search in Google Scholar

BIS. 2019. Mind the data gap: commercial property prices for policy, Irving Fisher Committee on Central Bank Statistics, Bank for International Settlements. Available at: https://www.bis.org/ifc/publ/ifc_report_cb_trade_rep_deriv_data.pdf (accessed May 2020). Search in Google Scholar

Bishaw A. 2009. “Adjusting Poverty Thresholds Based on Differences in Housing Cost: Application of American Community Survey”, Poster Presentation Prepared for the Population Association of America April 30–May 2, 2009. Available at: https://www.census.gov/content/dam/Census/library/working-papers/2009/demo/bishaw-paa-col-3-4.pdf (accessed May 2020). Search in Google Scholar

Bishop J.A., J. Lee, and L.A. Zeager. 2017. “Incorporating spatial price adjustments in US public policy analysis”, ECINEQ WP, 438. Available at: http://www.ecineq.org/milano/WP/ECINEQ2017-438.pdf (accessed May 2020). Search in Google Scholar

Brito, p. 2014. “Symbolic Data Analysis: another look at the interaction of Data Mining and Statistics”, Data Mining and Knowledge Discovery 4(4): 281–295. DOI: https://doi.org/10.1002/widm.1133.10.1002/widm.1133 Search in Google Scholar

Cameron, A.C, and P.K. Trivedi. 2009. Microeconometrics with STATA. College Station, TX: StataCorp LP. Search in Google Scholar

Can, A. 1992. “Specification and estimation of hedonic housing price models”, Regional Science and Urban Economics 22: 453–474. DOI: https://doi.org/10.1016/0166-0462(92)90039-4.10.1016/0166-0462(92)90039-4 Search in Google Scholar

Cannari, L. and I. Faiella. 2008. House Prices and Housing Wealth in Italy. Bank of Italy Temi di Discussione (Working Paper) No. A4. Available at: http://dx.doi.org/10.2139/ssrn.1162109 (accessed June 2020).10.2139/ssrn.1162109 Search in Google Scholar

Citro C.F., T.T. Michael. 1995. Measuring Poverty: A New Approach, National Academy Press, Washington, D.C. Available at: https://library.econ.upd.edu.ph/ir/handle/123456789/6535 (accessed May 2020). Search in Google Scholar

Cobb, S.A. 1984. “The impact of site characteristics on housing cost estimates”, Journal of Urban Economics, 15: 26–45. DOI: https://doi.org/10.1016/0094-1190(84)90021-4.10.1016/0094-1190(84)90021-4 Search in Google Scholar

Dalaker, J. 2017. Poverty in the United States in 2016: In Brief, U.S. Congressional Research Service, 7–5700. Available at: https://crsreports.congress.gov/product/pdf/R/R45397. Search in Google Scholar

Dalén, J. 2006. “Spatial price comparisons in poverty measurement, An example from Cambodia”. Ninth Meeting of the Ottawa Group-International Working Group on Price Indices, April 22, London. Available at: https://www.ottawagroup.org/Ottawa/ottawagroup.nsf/home/Meeting+9/$file/2006%209th%20Meeting%20-%20Jorgen%20Dalen%20-%20Spatial%20price%20comparisons%20in%20poverty%20measurement.pdf. Search in Google Scholar

De Haan, J. and E. Diewert. 2013. “Hedonic Regression Methods”, In OECD et al. Handbook on Residential Property Price indices, Eurostat, Luxembourg: chap. 5. Available at: https://ec.europa.eu/eurostat/documents/3859598/5925925/KS-RA-12-022-EN.PDF (accessed May 2020). Search in Google Scholar

Eurostat. 2013. Detailed Technical Manual on Owner-Occupied Housing for Harmonised Index of Consumer Prices, Eurostat, Luxembourg. Available at: https://ec.europa.eu/eurostat/documents/7590317/0/Technical-Manual-OOH-HPI-2017/ (accessed May 2020). Search in Google Scholar

Ferrante C., T. Laureti, and F. Polidoro. 2019. “Combining data coming from scanner, traditional CPI data collection and other sources to compile sub-national PPPs in Italy”. poster presented at the Sixtheenth Meeting of the Ottawa Group, 8–10 May, Rio de Janeiro. Brazil. Available at: https://www.ottawagroup.org/Ottawa/ottawagroup.nsf/home/Meeting+16/$FILE/Combining%20data%20coming%20from%20scanner%20abstract.pdf. Search in Google Scholar

Follain, J.R., and S. Malpezzi. 1980. “Dissecting housing Value and rent: Estimates of hedonic indexes for thirty-nine large SMSAs”, Urban Institute Press, Washington D.C. Search in Google Scholar

Gillingam, R. 1975. “Place to Place Rent Comparisons”, Annals of Economic and Social Measurement” 4(1): 153–173. N.B.E.R. Available at: http://www.nber.org/books/aesm75-1 (accessed May 2020). Search in Google Scholar

Ghirardo, E. 2013. Aggregazione di coefficient di un modello edonico, un approccio di regressione geografica ponderata, Quaderni OMI, Roma. Available at: https://www.agenziaentrate.gov.it/portale/documents/20143/263967/Quaderni+dell+Osservatorio+-dicembre+2013_Quaderni_Anno_II_N_2_Dic_2013.pdf/7aefea40-c028-fd8d-a893-821b8d7e3aa0 (accessed May 2020). Search in Google Scholar

Ghirardo, E., R. Ciula, and M. Festa. 2014. Effetti di non linearità nei modelli edonici: un esercizio di regressione quantilica, Quaderni OMI, Roma. Available at: https://www.agenziaentrate.gov.it/portale/documents/20143/263967/Quaderni+dell+Osservatorio+-dicembre+2014_Quaderni+Dicembre+2014.pdf/80b0ae7a-84a5-cfda-12d4-a5a7f6e71f52 (accessed May 2020). Search in Google Scholar

Greene, W.H. 2012. “Econometric Analysis”, 7th edition, Upper Saddle River, NJ: Prentice Hall. Search in Google Scholar

Griliches, Z. 1961. “Hedonic price indexes for automobiles: an econometric analysis of quality changes”, In The Price Statistics of Federal Government, Washington D.C: Government Printing Office. DOI: https://doi.org/10.4159/harvard.9780674592582.c4.10.4159/harvard.9780674592582.c4 Search in Google Scholar

Griliches Z. 1971. “Introduction: Hedonic Price Indexes Revisited”, In Price Indexes and Quality Change, edited by Z. Griliches: 3–15, Cambridge MA: Harvard University Press.10.4159/harvard.9780674592582.c2 Search in Google Scholar

Herath, S. and G. Maier. 2010. The hedonic price method in real estate and housing market research: a review of the literature, SRE-Discussion Papers, 2010/03, WU Vienna University of Economics and Business, 31 March, Vienna, Austria. Available at: https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1977&context=buspapers (accessed May 2020). Search in Google Scholar

Hill, R.J. 2013. “Hedonic price indexes for residential housing: A survey, evaluation and taxonomy”, Journal of economic surveys, 27(5): 879–914. DOI: https://doi.org/10.1111/j.1467-6419.2012.00731.x.10.1111/j.1467-6419.2012.00731.x Search in Google Scholar

Istat. 2010. La differenza nel livello dei prezzi al consumo tra i capoluoghi delle regioni italiane, Anno 2009, Roma. Search in Google Scholar

Istat. 2017. Spese per consumi delle famiglie, Anno 2017, Statistiche report 2018. Search in Google Scholar

Istat. 2020. Prezzi delle abitazioni, 18 trimestre 2020, Statistiche Flash, Roma. Available at: https://www.istat.it/it/archivio/245204 (accessed July 2020). Search in Google Scholar

Jolliffe, D. 2006. “Poverty, prices and place: How sensitive is the spatial distribution of poverty to cost of living adjustments?” Economic Inquiry, 44(2): 296–310. DOI: https://doi.org/10.1093/ei/cbj016.10.1093/ei/cbj016 Search in Google Scholar

Kokoski, M.F., P. Cardiff, and B.R. Moulton. 1994. Interarea price indices for consumer goods and services: An hedonic approach using CPI data, BLS working paper 256, U.S. Bureu of Labor Statistics, Washington D.C. DOI: https://doi.org/10.1016/0304-4076(94)01648-J.10.1016/0304-4076(94)01648-J Search in Google Scholar

Kokoski, M.F., Moulton, Moulton, B.R. Zieschang, K. 1999. “Interarea Price Comparisons for Heterogenous Goods and Several Levels of Commodity Aggregation”. In International and Interarea Comparisons of Income, Output and Prices, edited,by A. Heston and R. Lipsey: 123–166, University of Chicago Press. Search in Google Scholar

Lancaster K.J. 1966. “A New Approach to Consumer Theory”, Journal of Political Economy 74-13257. DOI: https://doi.org/10.1086/259131-. Search in Google Scholar

Laureti, T., and D.P. Rao. 2018. “Measuring Spatial Price Level Differences within a Country: Current Status and Future Developments”, Estudios de Economía Aplicada, 36(1): 119–148. DOI: http://dx.doi.org/10.25115/eea.v36i1.2520.10.25115/eea.v36i1.2520 Search in Google Scholar

Laureti, T., and F. Polidoro. 2018. “Big data and spatial comparisons of consumer prices Testing the use of scanner data for computing sub-national Purchasing Power Parities in Italy”, In proceeding of 49th Scientific Meeting of the Italian Statistical Society, 20–22 June. Palermo, Italy. Available at: https://meetings3.sis-statistica.org/index.php/sis2018/50th/paper/view/1599/46 (accessed May 2020). Search in Google Scholar

Leckie, G., and H. Goldstein. 2011. “A note on The limitations of school league tables to inform school choice”. Journal of the Royal Statistical Society: Series A, 174(3): 833–836. Available at: https://www.jstor.org/stable/23013524 (accessed May 2020).10.1111/j.1467-985X.2010.00688.x Search in Google Scholar

Lopez, E., and G.J.D. Hewings. 2018. “Housing price indices for small spatial units”, Regional Science and Urban Economics. DOI: 10.1016/j.regsciurbeco.2018. Search in Google Scholar

Malpezzi S. 2003. “Hedonic Pricing Models: A Selective and Applied Review.” In Housing Economics: Essays in Honor of Duncan Maclennan, edited by A. O’Sullivan and K. Gibb: 67–89, Blackwell: Malder MA. DOI: https://doi.org/10.1002/9780470690680.ch5.10.1002/9780470690680.ch5 Search in Google Scholar

Marshall, E.C., and D.J. Spiegelhalter. 1998. “Reliability of league tables in in vitro fertilisation clinics: Retrospective analysis of live birth rates”. British Medical Journal, 316: 1701–1704. DOI: https://doi.org/10.1136/bmj.316.7146.1701.10.1136/bmj.316.7146.1701 Search in Google Scholar

Martin, T., B. Aten, and E. Figueroa. 2013. “Estimating the Price of Rents in Regional Price Parities”, BiblioGov. Available at: https://citeseerx.ist.psu.edu/viewdoc/download?doi= Search in Google Scholar

Moulton, B.R. 1995. “Interarea Indexes of the cost of shelter using hedonic quality adjustment Techniques”, Journal of Econometrics 68: 181–204. DOI: https://doi.org/10.1016/0304-4076(94)01648-J.10.1016/0304-4076(94)01648-J Search in Google Scholar

Neto, E.D.A.L., and F.D.A. de Carvalho. 2008. “Centre and range method for fitting a linear regression model to symbolic interval data”, Computational Statistics and Data Analysis, 52(3): 1500–1515. DOI: https://doi.org/10.1016/j.csda.2007. Search in Google Scholar

Neto, E.D.A.L., and F.D.A. de Carvalho. 2010. “Constrained linear regression models for symbolic interval-valued variables”, Computational Statistics & Data Analysis, 54(2): 333–347. DOI: https://doi.org/10.1016/j.csda.2009. Search in Google Scholar

Ohta, M., and Z. Griliches. 1975. “Automobile prices revisited: Extensions of the hedonic price hypothesis” In Household Production and Consumption, Studies in Income and Wealth, edited by N.E. Terleckyi, 40. University of Chicago Press, for NBER, Chicago. Available at: http://www.nber.org/books/terl76-1 (accessed May 2020). Search in Google Scholar

OMI (Osservatorio del mercato immobiliare). 2017. Manuale della Banca Dati Quotazioni dell’Osservatorio del Mercato Immobiliare Istruzioni tecniche per la formazione della Banca Dati Quotazioni OMI. Available at: https://www.agenziaentrate.gov.it/portale/documents/20143/265514/Il+manuale+della+banca+dati+OMI_-Manuale+2016_vers_2.0+modificata+in+data+02-01-2018.pdf/c2073cce-b58f-cc2d-4827-d52a8b5eac95 (accessed April 2020). Search in Google Scholar

Ozanne, L., and T. Thibodeau. 1983. “Explaining metropolitan housing price differences”, Journal of Urban Economics 13: 51 – 66. DOI: https://doi.org/10.1016/0094-1190(83)90045-1.10.1016/0094-1190(83)90045-1 Search in Google Scholar

Parker, D. 2016. “International Valuation Standards. A Guide to the evaluation of Real Property Assets”, Wiley Blackwell, London.10.1002/9781118329795 Search in Google Scholar

Primont, D.F., and M.F. Kokoski. 1990. Comparing Prices across cities: A hedonic approach, BLS working paper 204, U.S. Bureau of Labor Statistics, Washington, D.C. Available at: https://www.bls.gov/osmr/research-papers/1992/ec921210.htm (accessed May 2020). Search in Google Scholar

Rao, P.D., and G. Hajargasht. 2016. “Stochastic approach to computation of purchasing power parities in the International Comparison Program (ICP)”. Journal of Econometrics, 191(2): 414–425. DOI: https://doi.org/10.1016/j.jeconom.2015. Search in Google Scholar

Ramsey, J.B. 1969. “Tests for specification errors in classical linear least-squares regression analysis”. Journal of the Royal Statistical Society: Series B (Methodological), 31(2): 350–371. DOI: https://doi.org/10.1111/j.2517-6161.1969.tb00796.x.10.1111/j.2517-6161.1969.tb00796.x Search in Google Scholar

Renwick, T. 2009. Alternative Geographical Adjustments of U.S. Poverty Thresholds: impact on State Poverty Rates, U.S. Census Bureau. Available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi= (accessed May 2020). Search in Google Scholar

Rosen S. 1974. “Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition”, Journal of Political Economy 82(1): 34–55. DOI: https://doi.org/10.1086/260169.10.1086/260169 Search in Google Scholar

Silver, M. 2011. “House Price Indices: Does Measurement Matter?” World Economics 12(3): 69–86. Available at: https://www.researchgate.net/profile/Mick-Silver/publication/227641359_House_Price_Indices_Does_Measurement_Matter/links/53eb9d620cf24f241f129611/House-Price-Indices-Does-Measurement-Matter.pdf (accessed May 2020). Search in Google Scholar

Zellner, A. 1963. “Estimators for seemingly unrelated regression equations: Some exact finite sample results”, Journal of the American Statistical Association 58: 977–992. DOI: 10.1080/01621459.1963.10480681.10.1080/01621459.1963.10480681 Search in Google Scholar

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