[
Bollerslev, T., A.J. Patton, and W. Wang. 2016. “Daily House Price Indices: Construction, Modeling, and Longerrun Predictions,” Journal of Applied Econometrics 31(6): 1005–1025. DOI: https://doi.org/10.1002/jae.2471.10.1002/jae.2471
]Search in Google Scholar
[
Chessa, A.G.J. Verburg and L. Willenborg. 2017. “A Comparison of Price Index Methods for Scanner Data,” Paper Presented at the Ottawa Group Meeting, International Working Group on Price Statistics, Deutsche Bundesbank, Conference Centre, 10–12 May 2017, Eltville am Rhein, Germany. Available at: https://www.bundesbank.de/en/service/dates/fifteenth-meeting-of-the-ottawa-group-2017-634968 (accessed February 2022).
]Search in Google Scholar
[
De Haan, J. 2004. “Direct and Indirect Time Dummy Approaches to Hedonic Price Measurement,” Journal of Economic and Social Measurement, 29(4): 427–443. DOI: https://doi.org/10.3233/JEM-2004-0235 (accessed February 2022).10.3233/JEM-2004-0235
]Search in Google Scholar
[
De Haan, J. 2010. “Hedonic Price Indexes: A Comparison of Imputation, Time Dummy and Re-Pricing Methods,” Journal of Economics and Statistics (Jahrbücher für Nationaloekonomie und Statistik), 230(6): 772–791. DOI: https://doi.org/10.1515/jbnst-2010-06.10.1515/jbnst-2010-0611
]Search in Google Scholar
[
De Haan, J. 2015. “Rolling Year Time Dummy Indexes and the Choice of Splicing Method,” Paper Presented at the Ottawa Group Meeting, International Working Group on Price Statistics, Statistics Bureau of Japan, 20–22 May. Available at: https://www.ottawagroup.org/Ottawa/ottawagroup.nsf/51c9a3d36edfd0dfca256acb00118404/2274041837f41548ca257eed00811dad?OpenDocument (accessed February 2022).
]Search in Google Scholar
[
De Haan, J., R. Hendriks, and M. Scholz. 2021. “Price Measurement Using Scanner Data: Time-Product Dummy Versus Time Dummy Hedonic Indexes,” Review of Income and Wealth, 67: 394–417. DOI: https://doi.org/10.1111/roiw.12468.10.1111/roiw.12468
]Search in Google Scholar
[
Diewert, W.E. 2002. Similarity and Dissimilarity Indexes: An Axiomatic Approach, Discussion Paper 02–10, Department of Economics, University of British Columbia, Vancouver, Canada. Available at: http://papers.economics.ubc.ca/legacypapers/dp0210.pdf (accessed February 2022).
]Search in Google Scholar
[
Diewert, W.E. 2009. “Similarity Indexes and Criteria for Spatial Linking,” In Purchasing Power Parities of Currencies: Recent Advances in Methods and Applications, edited by D.S.P. Rao, Edward Elgar: Cheltenham, UK, chap 8: 183–216.10.4337/9781035305247.00019
]Search in Google Scholar
[
Diewert, W.E. 2011. Alternative Approaches to Measuring House Price Infation, Discussion Paper 10–10, Department of Economics, University of British Columbia, Vancouver, Canada. Available at: https://www.business.unsw.edu.au/research-site/centreforappliedecDocuments/W.%20Erwin%20Diewert%20-%20Alternative%20Approaches%20-to%20Measuring%20House%20Price%20Inflation.pdf (accessed February 2022).
]Search in Google Scholar
[
Diewert, W.E., S. Heravi, and M. Silver. 2009. “Hedonic Imputation versus Time Dummy Hedonic Indexes,” In, Price Index Concepts and Measurement, edited by W.E. Diewert, J. Greenlees, and C. Hulten, NBER Studies in Income and Wealth, University of Chicago Press, Chicago: 161–196.10.7208/chicago/9780226148571.003.0005
]Search in Google Scholar
[
Diewert, W.E., and K.J. Fox. 2022. “Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data,” Journal of Business and Economic Statistics, forthcoming. DOI: https://doi.org/10.1080/07350015.2020.1816176.10.1080/07350015.2020.1816176
]Search in Google Scholar
[
Eurostat. 2016. Detailed Technical Manual on Owner-Occupied Housing for Harmonised Index of Consumer Prices, Eurostat, Luxembourg. Available at: https://eu/eurostat/documents/7590317/0/Technical-Manual-00H-HPI-2017/ (accessed February 2022).
]Search in Google Scholar
[
Hill, R.J. 2013. Hedonic Price Indexes for 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
[
Hill, R.J., and D. Melser. 2008. “Hedonic Imputation and the Price Index Problem: An Application to Housing,” Economic Inquiry, 46(4): 593–609. DOI: https://doi.org/10.1111/j.1465-7295.2007.00110.x.10.1111/j.1465-7295.2007.00110.x
]Search in Google Scholar
[
Hill, R.J., M. Scholz, C. Shimizu, and M. Steurer. 2018.“An Evaluation of the Methods Used by European Countries to Compute their Official House Price Indexes,” Economie et Statistique 500–502: 221–238. DOI: https://doi.org/10.24187/ecostat.2018.500t.1953.10.24187/ecostat.2018.500t.1953
]Search in Google Scholar
[
Krsinich, F. 2016. “The FEWS Index: Fixed Effects with a Window Splice,” Journal of Official Statistic 32(2): 375–404. DOI: https://doi.org/10.1515/jos-2016-002.10.1515/jos-2016-0021
]Search in Google Scholar
[
Melser, D. 2018. “Scanner Data Price Indexes: Addressing Some Unresolved Issues,” Journal of Business and Economic Statistics 36(3): 516–522. DOI: https://doi.org/10.1080/07350015.2016.1218339.10.1080/07350015.2016.1218339
]Search in Google Scholar
[
O’Hanlon, N. 2011. “Constructing a National House Price Index for Ireland,” Journal of the Statistical and Social Inquiry Society of Ireland, 40: 167–196. Available at: http://www.tara.tcd.ie/bitstream/handle/2262/62349/o%27hanlon%20pdf.pdf?sequence=1&isAllowed=y (accessed February 2022).
]Search in Google Scholar
[
Rachman, A.N. 2019. “An Alternative Hedonic Residential Property Price Index for Indonesia Using Big Data: The Case of Jakarta,” Paper presented at the International Conference on Real Estate Statistics, February 20–22, Eurostat, Luxembourg. Available at: https://www.crrem.eu/crrem-at-the-eurostat-international-conference-on-real.
]Search in Google Scholar
[
Rambaldi, A.N. and D.S.P. Rao. 2013. “Econometric Modeling and Estimation of Theoretically Consistent Housing Price Indexes,” CEPA Working Papers Series WP042013, School of Economics, University of Queensland, Australia. https://economics.uq.edu.au/files/5157/WP042013.pdf
]Search in Google Scholar
[
Shimizu, C., H. Takatsuji and H. Ono. 2003. “Conjunct method of deriving a hedonic price index in a secondhand housing market with structural change,” Reitaku International Journal of Economic Studies 10(2): 103–134.
]Search in Google Scholar
[
Shimizu, C, H. Takatsuji, H. Ono, and K.G. Nishimura. 2010. “Structural and Temporal Changes in the Housing Market and Hedonic Housing Price Indices,” International Journal of Housing Markets and Analysis 3(4): 351–368. DOI: https://doi.org/10.1108/17538271011080655.10.1108/17538271011080655
]Search in Google Scholar
[
Shimizu, C., and W.E. Diewert. 2019. “Residential Property Price Index in Japan: Discussion in Methodology and Data Sources,” Paper presented at the International Conference on Real Estate Statistics, Eurostat, Luxembourg, 2019. https://www.crrem.eu/crrem-at-the-eurostat-international-conference-on-real-estate-statistics.
]Search in Google Scholar
[
Shimizu, C., K.G. Nishimura and T. Watanabe. 2016. “House prices at different stages of the buying/selling process,” Regional Science and Urban Economics 59: 37–53. DOI: https://doi.org/10.1016/j.regsciurbeco.2016.04.001 (accessed February 2022).10.1016/j.regsciurbeco.2016.04.001
]Search in Google Scholar
[
Silver, M., and S. Heravi. 2007. “The Difference between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes,” Journal of Business and Economic Statistics, 25(2): 239–246. DOI: https://doi.org/10.1198/073500106000000486.10.1198/073500106000000486
]Search in Google Scholar
[
Triplett J.E. 2004. Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes: Special Application to Information Technology Products, STI Working Paper 2004/9, Directorate for Science, Technology and Industry, Organisation for Economic Co-operation and Development, Paris. DOI: https://doi.org/10.1787/643587187107.10.1787/643587187107
]Search in Google Scholar