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Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings

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  • Carlos Felipe Balcázar
  • Lidia Ceriani
  • Sergio Olivieri
  • Marco Ranzani

Abstract

Housing should always be included in the construction of the welfare aggregate for welfare analysis. However, assigning a value to the flow of services from dwellings is problematic. Many households own the dwelling in which they live, making this value unobserved; others receive free housing or face prices lower than those at the market. Over the last decades, several estimation techniques have been proposed and implemented by practitioners to overcome this issue. This paper provides a review of methods commonly used to impute rent and discusses the relative advantages and disadvantages of each. We find no consensus on which imputation method is the most appropriate for welfare analysis, as well as a lack of evidence regarding the distributional impact of including rents in the welfare aggregate, particularly in developing countries. Moreover, practices for imputing rents vary across countries, calling for the future development of a unified framework.

Suggested Citation

  • Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
  • Handle: RePEc:bla:revinw:v:63:y:2017:i:4:p:881-898
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    File URL: https://doi.org/10.1111/roiw.12312
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    1. Dan Andrews & Aida Caldera Sánchez & Åsa Johansson, 2011. "Housing Markets and Structural Policies in OECD Countries," OECD Economics Department Working Papers 836, OECD Publishing.
    2. Thomas F. Crossley & Krishna Pendakur, 2006. "The Social Cost-of-Living: Welfare Foundations and Estimation," Quantitative Studies in Economics and Population Research Reports 407, McMaster University.
    3. Carlos Martins-Filho & Okmyung Bin, 2005. "Estimation of hedonic price functions via additive nonparametric regression," Empirical Economics, Springer, vol. 30(1), pages 93-114, January.
    4. John M. Clapp & Hyon-Jung Kim & Alan E. Gelfand, 2002. "Predicting Spatial Patterns of House Prices Using LPR and Bayesian Smoothing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(4), pages 505-532.
    5. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2004. "Identification and Estimation of Hedonic Models," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 60-109, February.
    6. Angus Deaton, 2005. "Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 1-19, February.
    7. Simon N. Wood, 2006. "Low-Rank Scale-Invariant Tensor Product Smooths for Generalized Additive Mixed Models," Biometrics, The International Biometric Society, vol. 62(4), pages 1025-1036, December.
    8. James J. Heckman & Rosa L. Matzkin & Lars Nesheim, 2010. "Nonparametric Identification and Estimation of Nonadditive Hedonic Models," Econometrica, Econometric Society, vol. 78(5), pages 1569-1591, September.
    9. Daniel J. Henderson & Christopher F. Parmeter & Subal C. Kumbhakar, 2007. "Nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 695-699.
    10. Pirmin Fessler & Miriam Rehm & Lukas Tockner, 2016. "The impact of housing non-cash income on the household income distribution in Austria," Urban Studies, Urban Studies Journal Limited, vol. 53(13), pages 2849-2866, October.
    11. repec:dau:papers:123456789/5143 is not listed on IDEAS
    12. Newey, Whitney K & Powell, James L & Walker, James R, 1990. "Semiparametric Estimation of Selection Models: Some Empirical Results," American Economic Review, American Economic Association, vol. 80(2), pages 324-328, May.
    13. Smeeding, Timothy M, et al, 1993. "Poverty, Inequality, and Family Living Standards Impacts across Seven Nations: The Effect of Noncash Subsidies for Health, Education and Housing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 39(3), pages 229-256, September.
    14. Lidia Ceriani & Carlo V. Fiorio & Chiara Gigliarano, 2013. "The importance of choosing the data set for tax-benefit analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 86-121.
    15. Matthew Brzozowski & Thomas F. Crossley, 2011. "Viewpoint: Measuring the well-being of the poor with income or consumption: a Canadian perspective," Canadian Journal of Economics, Canadian Economics Association, vol. 44(1), pages 88-106, February.
    16. Gonzalez-Navarro, Marco & Quintana-Domeque, Climent, 2009. "The reliability of self-reported home values in a developing country context," Journal of Housing Economics, Elsevier, vol. 18(4), pages 311-324, December.
    17. Bin, Okmyung, 2004. "A prediction comparison of housing sales prices by parametric versus semi-parametric regressions," Journal of Housing Economics, Elsevier, vol. 13(1), pages 68-84, March.
    18. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    19. Sam Norris & Krishna Pendakur, 2013. "Imputing rent in consumption measures, with an application to consumption poverty in Canada, 1997-2009," Canadian Journal of Economics, Canadian Economics Association, vol. 46(4), pages 1537-1570, November.
    20. David E. Lebow & Jeremy B. Rudd, 2003. "Measurement Error in the Consumer Price Index: Where Do We Stand?," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 159-201, March.
    21. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    22. Han Bin Kang & Alan K. Reichert, 1987. "An Evaluation of Alternative Estimation Techniques and Functional Forms in Developing Statistical Appraisal Models," Journal of Real Estate Research, American Real Estate Society, vol. 2(1), pages 1-29.
    23. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    24. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications, The World Bank, number 17280, August.
    25. Thomas F. Crossley & Lori J. Curtis, 2006. "Child Poverty In Canada," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(2), pages 237-260, June.
    26. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
    27. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.
    28. Ian Gibbs & Peter Kemp, 1993. "Housing Benefit and Income Redistribution," Urban Studies, Urban Studies Journal Limited, vol. 30(1), pages 63-72, February.
    29. W. Brunauer & S. Lang & P. Wechselberger & S. Bienert, 2010. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," The Journal of Real Estate Finance and Economics, Springer, vol. 41(4), pages 390-411, November.
    30. Anglin, Paul M & Gencay, Ramazan, 1996. "Semiparametric Estimation of a Hedonic Price Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 633-648, Nov.-Dec..
    31. Phillips, Robyn S., 1988. "Residential capitalization rates: Explaining intermetropolitan variation, 1974-1979," Journal of Urban Economics, Elsevier, vol. 23(3), pages 278-290, May.
    32. Yates, Judith, 1994. "Imputed Rent and Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 40(1), pages 43-66, March.
    33. Çağlayan Ebru & Arikan Eban, 2011. "Determinants of house prices in Istanbul: a quantile regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 305-317, February.
    34. Simon N. Wood & Mark V. Bravington & Sharon L. Hedley, 2008. "Soap film smoothing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 931-955.
    35. Randal Verbrugge, 2008. "The Puzzling Divergence Of Rents And User Costs, 1980-2004," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(4), pages 671-699, December.
    36. Jens Matthias Arnold & Bert Brys & Christopher Heady & Åsa Johansson & Cyrille Schwellnus & Laura Vartia, 2011. "Tax Policy for Economic Recovery and Growth," Economic Journal, Royal Economic Society, vol. 121(550), pages 59-80, February.
    37. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    38. Joachim R. Frick & Markus M. Grabka, 2003. "Imputed Rent and Income Inequality: A Decomposition Analysis for Great Britain, West Germany and the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 513-537, December.
    39. Pace, R Kelley, 1993. "Nonparametric Methods with Applications to Hedonic Models," The Journal of Real Estate Finance and Economics, Springer, vol. 7(3), pages 185-204, November.
    40. Vieri Ceriani & Stefano Manestra & Giacomo Ricotti & Alessandra Sanelli & Ernesto Zangari, 2011. "The tax system and the financial crisis," PSL Quarterly Review, Economia civile, vol. 64(256), pages 39-94.
    41. Frick, Joachim R. & Grabka, Markus M. & Smeeding, Timothy M. & Tsakloglou, Panos, 2010. "Distributional effects of imputed rents in five European countries," Journal of Housing Economics, Elsevier, vol. 19(3), pages 167-179, September.
    42. Buckley, Robert M & Gurenko, Eugene N, 1997. "Housing and Income Distribution in Russia: Zhivago's Legacy," World Bank Research Observer, World Bank Group, vol. 12(1), pages 19-32, February.
    43. Richard Meese & Nancy Wallace, 1991. "Nonparametric Estimation of Dynamic Hedonic Price Models and the Construction of Residential Housing Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 308-332.
    44. Alfonso Flores‐Lagunes & Kurt Erik Schnier, 2012. "Estimation of sample selection models with spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 173-204, March.
    45. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, June.
    46. Gaetano Lisi, 2013. "On the Functional Form of the Hedonic Price Function: A Matching-theoretic Model and Empirical Evidence," International Real Estate Review, Asian Real Estate Society, vol. 16(2), pages 189-207.
    47. Moshe Buchinsky, 2001. "Quantile regression with sample selection: Estimating women's return to education in the U.S," Empirical Economics, Springer, vol. 26(1), pages 87-113.
    48. Arévalo, Raquel & Ruiz-Castillo, Javier, 2004. "The rental equivalence approach to nonrental housing in the consumer price index. evidence from Spain," UC3M Working papers. Economics we041704, Universidad Carlos III de Madrid. Departamento de Economía.
    49. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    50. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
    51. Ramazan Gencay & Xian Yang, 1996. "Forecast Comparisons of Residential Housing Prices by Parametric and Semiparametric Regression," Canadian Journal of Economics, Canadian Economics Association, vol. 29(s1), pages 515-519, April.
    52. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, April.
    53. repec:dau:papers:123456789/6486 is not listed on IDEAS
    54. W. Erwin Diewert, 2009. "Durables and Owner-Occupied Housing in a Consumer Price Index," NBER Chapters,in: Price Index Concepts and Measurement, pages 445-500 National Bureau of Economic Research, Inc.
    55. Cropper, Maureen L & Deck, Leland B & McConnell, Kenneth E, 1988. "On the Choice of Functional Form for Hedonic Price Functions," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 668-675, November.
    56. Whitney K. Newey, 2013. "Nonparametric Instrumental Variables Estimation," American Economic Review, American Economic Association, vol. 103(3), pages 550-556, May.
    57. Peter Saunders & Peter Siminski, 2005. "Home Ownership And Inequality: Imputed Rent And Income Distribution In Australia," Economic Papers, The Economic Society of Australia, vol. 24(4), pages 346-367, December.
    58. Heston, Alan & Nakamura, Alice O., 2009. "Questions about the equivalence of market rents and user costs for owner occupied housing," Journal of Housing Economics, Elsevier, vol. 18(3), pages 273-279, September.
    59. Gencay, Ramazan & Xian, Yang, 1996. "A forecast comparison of residential housing prices by parametric versus semiparametric conditional mean estimators," Economics Letters, Elsevier, vol. 52(2), pages 129-135, August.
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