Abstract
Official rentals for housing (rent) price inflation statistics are of considerable public interest. Matched-sample estimators, such as that used for nearly two-decades in New Zealand (2000–2019), require an unrealistic assumption of a static universe of rental properties. This article investigates (1) a property fixed-effects estimator that better reflects the dynamic universe of rental properties by implicitly imputing for price change associated with new and disappearing rental properties; (2) length-alignment simulations and property life-cycle metrics to inform the choice of data window length (eight years) and preferred splice methodology (mean-splice); and (3) stock-imputation to convert administrative data from a ‘flow’ (new tenancy price) to ‘stock’ (currently paid rent) concept. The derived window-length sensitivity findings have important implications for inflation measurement. It was found that the longer the data window used to fit the model, the greater the estimated rate of inflation. Using administrative data, a range of estimates from 55% (window length: three-quarters) to 127% (window of 90-quarters) were found for total inflation, over the 25-years to 2017 Q4.
Keywords
References
1.
Aizcorbe, A., C. Corrado, and M. Doms. 2003. When Do Matched-Model and Hedonic Techniques Yield Similar Price Measures? Working Paper: 2003-14, Federal Reserve Bank of San Francisco. DOI: http://dx.doi.org/10.2139/ssrn.550421.
2.
Ambrose, B.W., N.E. Coulson, and J. Yoshida. 2015. “The Repeat Rent Index.” The Review of Economics and Statistics. 97 (5): 939–950, DOI: https://doi.org/10.1162/REST_a_0050
3.
Australian Bureau of Statistics. 2016. Making Greater Use of Transactions Data to Compile the Consumer Price Index . Information Paper: 6401.0.60.003, Canberra: ABS. Available at: http://www.abs.gov.au (accessed October 2019).
4.
Australian Bureau of Statistics. 2017. An Implementation Plan to Maximise the Use of Transactions Data in the CPI. Information Paper: 6401.0.60.004, Canberra: ABS. Available at: http://www.abs.gov.au (accessed October 2019).
5.
Bailey, M.J., R.F. Muth, and H.O. Nourse. 1963. “A Regression Model for Real Estate Price Index Construction.” Journal of the American Statistical Association. 58: 933–942. DOI: https://doi.org/10.1080/01621459.1963.10480679.
6.
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.” Paper presented at the Ottawa Group 2017, 10–12 May, Eltville, Germany. Available at: http://www.ottawagroup.org (accessed November 2020).
7.
Bentley, A., and F. Krsinich. 2017. “Towards a big data CPI for New Zealand.” Paper presented at the Ottawa Group 2017, 10–12 May, Eltville, Germany. Available at: http://www.ottawagroup.org (accessed October 2019).
8.
Case, K.E., and R.J. Shiller. 1987. “Prices of Single Family Homes since 1970: New Indexes for Four Cities” New England Economic Review : 45–56. Available at: https://EconPapers.repec.org/RePEc:cwl:cwldpp:851.
9.
Caves D.W., L.R. Christensen, and W.E. Diewert 1982. “Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers.” Economic Journal 92: 73–86. Available at: https://EconPapers.repec.org/RePEc:ecj:econjl:v:92:y:1982:i:365:p:73-86.
10.
Chessa, A.G. 2016. “A New Methodology for Processing Scanner Data in the Dutch CPI.” Eurona 1: 49–69. Available at: https://ec.europa.eu (accessed October 2019).
11.
Court, A.T. 1939. Hedonic Price Indexes with Automotive Examples. In The Dynamics of Automobile Demand General Motors, New York
12.
De Haan, J., and F. Krsinich. 2014. “Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes.” Journal of Business and Economic Statistics . 32 (3): 341–358. DOI: https://doi.org/10.1080/07350015.2014.880059.
13.
De Haan, J. 2015. “A Framework for Large Scale Use of Scanner Data in the Dutch CPI.” Paper presented at the Ottawa Group 2015, 20–22 May, Urayasu, Japan. Available at: http://www.ottawagroup.org (accessed October 2019).
14.
De Haan, J., R. Hendriks, and M. Scholz. 2020. “Price Measurement using scanner data: timeproduct dummy versus time dummy hedonic indexes.” Review of Income and Wealth . DOI: https://doi.org/10.1111/roiw.12468
15.
Diewert, W.E. 2004. On the Stochastic Approach to Linking the Regions in the ICP . Discussion Paper: 04–16. Department of Economics, University of British Columbia, Vancouver, Canada. Available at: https://ubc.ca (accessed October 2019).
16.
Diewert, W.E., and K.J. Fox 2017. Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data. Discussion Paper: 17-02, University of British Columbia, Vancouver, Canada. Available at: https://ubc.ca (accessed October 2019).
17.
Drechsler, L. 1973. “Weighting of Index Numbers in International Comparisons.” Review of Income and Wealth 19:1: 17–47. DOI: https://doi.org/10.1111/j.1475-4991.1973.tb00871.x
18.
Eltetö, Ö., and P. Köves. 1964. “ On a Problem of Index Number Computation Relating to International Comparisons” (in Hungarian), Statisztikai Szemle 42: 507–518. Available at: https://digitallibrary.un.org/record/750290?ln=en.
19.
Eurostat, EU, ILO, IMF, OECD, UNECE, and The World Bank. 2013. Handbook on Residential Property Prices Indices (RPPIs). Luxembourg, European Union. Available from https://ec.europa.eu (accessed October 2019)
20.
Eurostat and OECD. 2014. Eurostat-OECD Survey of National Practices in Estimating Net Stocks of Structures . Available from http://www.oecd.org (accessed November 2020).
21.
Eurostat. 2018. Harmonised Index of Consumer Prices (HICP) methodological manual: 2018 edition. Eurostat. DOI: https://doi.org/10.2785/85564.
22.
Geary, R.G. 1958. “A Note on Comparisons of Exchange Rates and Purchasing Power between Countries.” Journal of the Royal Statistical Society . Series A 121: 97–99.
23.
Gini, C. 1931. “On the Circular Test of Index Numbers.” Metron 9: 3–24.
24.
ILO, IMF, OECD, UNECE, Eurostat, and The World Bank. 2004. Consumer price index manual: Theory and practice. Geneva, International Labour Office. Available at: http://www.ilo.org (accessed October 2019).
25.
Ivancic, L., W.E. Diewert, and K.J. Fox. 2009. Scanner Data, Time Aggregation and the Construction of Price Indexes. Discussion Paper 09-09, Department of Economics, University of British Columbia, Vancouver, Canada. Available at: https://ubc.ca (accessed October 2019).
26.
Johnson, P. 2015. UK Consumer Price Statistics: A Review. UK Statistics Authority. Available at: https://www.statisticsauthority.gov.uk (accessed October 2019).
27.
Keshishbanoosy, R., and L. Taylor. 2019. New approach for estimating the rent component of the Consumer Price Index. Statistics Canada. Available at: https://www.statcan.gc.ca/ (accessed November 2020).
28.
Khamis, S.H. 1972. “A New System of Index Numbers for National and International Purposes.” Journal of the Royal Statistical Society. Series A 135: 96–121. DOI: https://doi.org/10.2307/2345041.
29.
Krsinich, F. 2009. “Using Hedonic Regression to Assess the Housing Rentals Component of the New Zealand Consumers Price Index.” Paper presented at New Zealand Association of Economists 50th Anniversary conference, 1–3 July 2009. Wellington, New Zealand. Available at: https://www.nzae.org.nz (accessed October 2019).
30.
Krsinich, F. 2014. “Quality adjustment in the New Zealand Consumers Price Index. In The New Zealand CPI at 100: History and interpretation, edited by S. Forbes and A. Victorio. Wellington: Victoria University Press.
31.
Krsinich, F. 2016. “The FEWS Index: Fixed Effects with a Window Splice.” Journal of Official Statistics, 32 (2): 375–404. DOI: https://doi.org/10.1515/jos-2016-0021.
32.
Lewis, R., and A. Restieaux. 2015. Improvements to the measurement of owner occupiers’ housing costs and private housing rental prices. UK Office for National Statistics. Available at: http://webarchive.nationalarchives.gov.uk (accessed October 2019).
33.
Lowe, J. 1823. The Present State of England in Regard to Agriculture, Trade and Finance. Second edition, London: Longman, Hurst, Rees, Orme and Brown.
34.
Miceli, T., and C.F. Sirmans. 1999. “Tenant Turnover, Rental Contracts, and Self Selection.” Journal of Housing Economics 8: 301–311. DOI: https://doi.org/10.1006/jhec.1999.0253.
35.
Miller, S., S. Suie, and C. Bycroft. 2018. Comparing housing information from census and tenancy bond data. Stats NZ. Available at: https://www.stats.govt.nz (accessed October 2019).
36.
Private Residential Tenancies Board. 2013. The PRTB Rent Index. Available at: https://www.rtb.ie/ (accessed November 2020).
37.
Residential Tenancies Act (New Zealand). 1986. Available at: https://www.legislation.govt.nz/act/public/1986/0120/latest/whole.html#DLM95059.
38.
Shimizu, C., K.G. Nishimura, and T. Watanabe. 2009. “Housing Prices and Rents in Tokyo: A Comparison of Repeat-Sales and Hedonic Measures.” Paper presented at the Ottawa Group, 27–29 May 2009, Neuchatel, Switzerland. Available at: http://www.ottawagroup.org (accessed November 2020).
39.
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, 20–22 February 2019, Luxembourg. Available at: https://www.real-estate-statistics.eu/ (accessed November 2020).
40.
Silver, M. 2016. How to Better Measure Hedonic Residential Property Price Indexes . IMF working Paper 16/213. Available at: http://www.imf.org (accessed October 2019).
41.
Stats NZ. 2008. “Rented dwellings in the CPI.” Price Index News , April. Available from http://archive.stats.govt.nz (accessed October 2019).
42.
Stats NZ. 2014. Measuring capital stock in the New Zealand economy . Fourth edition. Available at: https://www.stats.govt.nz (accessed November 2020).
43.
Stats NZ. 2015. IDI Data Dictionary: Tenancy bond data. Available at: http://archive.stats.govt.nz (accessed October 2019).
44.
Stats NZ. 2019. New methodology for rental prices in the CPI. Available at: https://www.stats.govt.nz (accessed October 2019).
45.
Summers, R. 1973. “International Comparisons Based Upon Incomplete Data.” Review of Income and Wealth. 19: 1–16. DOI: https://doi.org/10.1111/j.1475-4991.1973.tb00870.x.
46.
Szulc, B.J. 1964. “Indices for Multiregional Comparisons”, Przeglad Statystyczny 3: 239–254.
47.
White, G. 2018. IndexNumR: A Package for Index Number Calculation. Comprehensive R Archive Network, R Foundation for Statistical Computing. Available at: https://CRAN.R-project.org/package=IndexNumR (accessed October 2019).