[
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-.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.2018.02.005.10.1016/j.regsciurbeco.2018.02.005
]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=10.1.1.440.3550&rep=rep1&type=pdf.
]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.2007.04.014.10.1016/j.csda.2007.04.014
]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.2009.08.010.10.1016/j.csda.2009.08.010
]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.2015.12.012.10.1016/j.jeconom.2015.12.012
]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=10.1.1.227.4438&rep=rep1&type=pdf (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
