IDEAS home Printed from https://ideas.repec.org/p/qld/uqcepa/87.html
   My bibliography  Save this paper

Econometric Modeling and Estimation of Theoretically Consistent Housing Price Indexes

Author

Listed:

Abstract

Recent developments in the economic theory behind hedonic price models and price index numbers have shown that the preferred combination is one where hedonic imputed price indexes (HI) are computed using predictions from time varying hedonic functions. This paper proposes a spatial time series model as the econometric model consistent with the theoretical developments. In addition, the paper deals with issues relating to HI index numbers including weighting systems, seasonality in housing sales data, and the construction of annual and monthly chained indexes.

Suggested Citation

  • Alicia N. Rambaldi & D.S. Prasada Rao, 2013. "Econometric Modeling and Estimation of Theoretically Consistent Housing Price Indexes," CEPA Working Papers Series WP042013, School of Economics, University of Queensland, Australia.
    • Handle: RePEc:qld:uqcepa:87
    as

    Download full text from publisher

    File URL: https://economics.uq.edu.au/files/5157/WP042013.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Silver, Mick & Heravi, Saeed, 2007. "The Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 239-246, April.
    2. Robert J. Hill & Daniel Melser, 2008. "Hedonic Imputation And The Price Index Problem: An Application To Housing," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 593-609, October.
    3. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications - Books, The World Bank Group, number 17280, December.
    4. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    5. Mick Silver, 1999. "An Evaluation Of The Use Of Hedonic Regressions For Basic Components Of Consumer Price Indices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 45(1), pages 41-56, March.
    6. Jack Triplett, 2004. "Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes: Special Application to Information Technology Products," OECD Science, Technology and Industry Working Papers 2004/9, OECD Publishing.
    7. Eugene Kouassi & Joel Sango & J. M. Bosson Brou & Francis N. Teubissi & Kern O. Kymn, 2011. "Prediction from the regression model with two‐way error components," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(6), pages 541-564, September.
    8. Zvi Griliches, 1961. "Hedonic Price Indexes for Automobiles: An Econometric of Quality Change," NBER Chapters, in: The Price Statistics of the Federal Goverment, pages 173-196, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robert J. Hill & Alicia N. Rambaldi, 2022. "Hedonic Models and House Price Index Numbers," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 413-444, Springer.
    2. Robert S. Martin, 2022. "Democratic Aggregation: Issues and Implications for Consumer Price Indexes," Economic Working Papers 600, Bureau of Labor Statistics.
    3. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    4. Gong Yunlong & de Haan Jan, 2018. "Accounting for Spatial Variation of Land Prices in Hedonic Imputation House Price Indices: a Semi-Parametric Approach," Journal of Official Statistics, Sciendo, vol. 34(3), pages 695-720, September.
    5. Robert J. Hill & Norbert Pfeifer & Miriam Steurer, 2020. "The Airbnb Rent-Premium and the Crowding-Out of Long-Term Rentals," Graz Economics Papers 2020-06, University of Graz, Department of Economics.
    6. Robert J. Hill & Michael Scholz, 2014. "Incorporating Geospatial Data in House Price Indexes: A Hedonic Imputation Approach with Splines," Graz Economics Papers 2014-05, University of Graz, Department of Economics.
    7. Sabrina-Sigrid Spiegel, 2022. "Price Indices for Austrian municipalities - Hedonic models based on Microlevel Data," Graz Economics Papers 2022-01, University of Graz, Department of Economics.
    8. Alicia N. Rambaldi & Cameron S. Fletcher, 2014. "Hedonic Imputed Property Price Indexes: The Effects of Econometric Modeling Choices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 423-448, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2021. "Higher frequency hedonic property price indices: a state-space approach," Empirical Economics, Springer, vol. 61(1), pages 417-441, July.
    2. Alicia N. Rambaldi & Cameron S. Fletcher, 2014. "Hedonic Imputed Property Price Indexes: The Effects of Econometric Modeling Choices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 423-448, November.
    3. Jéssica Fernanda Castaño Lavado. & Miguel Ángel Morales Mosquera, 2015. "Revisión Metodológica de Índices de Precios de la Vivienda," Temas de Estabilidad Financiera 81, Banco de la Republica de Colombia.
    4. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    5. Robert J. Hill & Michael Scholz, 2014. "Incorporating Geospatial Data in House Price Indexes: A Hedonic Imputation Approach with Splines," Graz Economics Papers 2014-05, University of Graz, Department of Economics.
    6. Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.
    7. Hill, Robert J. & Melser, Daniel & Syed, Iqbal, 2009. "Measuring a boom and bust: The Sydney housing market 2001-2006," Journal of Housing Economics, Elsevier, vol. 18(3), pages 193-205, September.
    8. Iqbal A. Syed & Jan De Haan, 2017. "Age, Time, Vintage, And Price Indexes: Measuring The Depreciation Pattern Of Houses," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 580-600, January.
    9. Esmeralda A. Ramalho & Joaquim J.S. Ramalho, 2014. "Convenient links for the estimation of hedonic price indexes: the case of unique, infrequently traded assets," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 91-117, May.
    10. Robert J. Hill & Daniel Melser, 2007. "Comparing House Prices Across Regions and Time: An Hedonic Approach," Discussion Papers 2007-33, School of Economics, The University of New South Wales.
    11. Ramírez Muñoz de Toro, Gonzalo R. & Uriarte, Juan I. & Delbianco, Fernando & Larrosa, Juan M.C., 2017. "Un modelo hedónico de precios en línea de automóviles usados en Argentina || A Hedonic Model of Online Prices of Used Cars in Argentina," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 25-53, Diciembre.
    12. Biljana Davidovska Stojanova & Branimir Jovanovic & Maja Kadievska Vojnovic & Gani Ramadani & Magdalena Petrovska, 2008. "Real Estate Prices In The Republic Of Macedonia," Working Papers 2008-03, National Bank of the Republic of North Macedonia.
    13. Mundaca, Fernando & Sánchez, Elmer, 2018. "Índice de precios de inmuebles: Un enfoque hedónico," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 36, pages 55-74.
    14. Hans Wolfgang Brachinger & Michael Beer & Olivier Schöni, 2018. "A formal framework for hedonic elementary price indices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 67-93, January.
    15. David Prentice & Xiangkang Yin, 2000. "Measuring Quality-Adjusted Inflation Rates for a Heterogeneous Oligopoly," Working Papers 2000.06, School of Economics, La Trobe University.
    16. Robert J. Hill & Michael Scholz & Chihiro Shimizu & Miriam Steurer, 2018. "An evaluation of the methods used by European countries to compute their official house price Indices," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 500-501-5, pages 221-238.
    17. Daniel Melser, 2017. "Residential Real Estate, Risk, Return and Home Characteristics: Evidence from Sydney 2002-14," ERES eres2017_296, European Real Estate Society (ERES).
    18. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    19. Wilmar Alexander Cabrera-Rodríguez & Juan Sebastián Mariño-Montaña & Carlos Andrés Quicazán-Moreno, 2019. "Modelos hedónicos con efectos espaciales: una aproximación al cálculo de índices de precios de vivienda para Bogotá," Borradores de Economia 1072, Banco de la Republica de Colombia.
    20. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:qld:uqcepa:87. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/decuqau.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SOE IT (email available below). General contact details of provider: https://edirc.repec.org/data/decuqau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.