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Housing, imputed rent, and household welfare

Author

Listed:
  • Lidia Ceriani

    (Georgetown University)

  • Sergio Olivieri

    (World Bank)

  • Marco Ranzani

    (World Bank)

Abstract

Housing is the most important durable good consumed by households. This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources.

Suggested Citation

  • Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2023. "Housing, imputed rent, and household welfare," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 131-168, March.
    • Handle: RePEc:spr:joecin:v:21:y:2023:i:1:d:10.1007_s10888-022-09545-7
    DOI: 10.1007/s10888-022-09545-7
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    1. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    2. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    3. 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.
    4. Garner, Thesia I. & Verbrugge, Randal, 2009. "Reconciling user costs and rental equivalence: Evidence from the US consumer expenditure survey," Journal of Housing Economics, Elsevier, vol. 18(3), pages 172-192, September.
    5. Sam Norris & Krishna Pendakur, 2013. "Imputing rent in consumption measures, with an application to consumption poverty in Canada, 1997–2009," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(4), pages 1537-1570, November.
    6. Lara Ibarra,Gabriel & Mendiratta,Vibhuti & Vishwanath,Tara, 2017. "Rental regulation and its consequences on measures of well-being in the Arab Republic of Egypt," Policy Research Working Paper Series 8152, The World Bank.
    7. 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.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. Charles R. Plott & Kathryn Zeiler, 2005. "The Willingness to Pay–Willingness to Accept Gap, the "Endowment Effect," Subject Misconceptions, and Experimental Procedures for Eliciting Valuations," American Economic Review, American Economic Association, vol. 95(3), pages 530-545, June.
    10. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    11. Atkinson, Tony & Cantillon, Bea & Marlier, Eric & Nolan, Brian, 2002. "Social Indicators: The EU and Social Inclusion," OUP Catalogue, Oxford University Press, number 9780199253494.
    12. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    13. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    14. Ravallion, Martin, 2016. "The Economics of Poverty: History, Measurement, and Policy," OUP Catalogue, Oxford University Press, number 9780190212773.
    15. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers 90, Queen Elizabeth House, University of Oxford.
    16. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers ophiwp083_ch2.pdf, Queen Elizabeth House, University of Oxford.
    17. 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.
    18. Frick, Joachim R. & Grabka, Markus M. & Smeeding, Timothy M. & Tsakloglou, Panos, 2010. "Distributional Effects of Imputed Rents in Five European Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(3), pages 167-179.
    19. 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.
    20. Philippe Van Kerm, 2011. "Picturing mobility: Transition probability color plots," United Kingdom Stata Users' Group Meetings 2011 18, Stata Users Group.
    21. Rob Atkinson & Simin Da Voudi, 2000. "The Concept of Social Exclusion in the European Union: Context, Development and Possibilities," Journal of Common Market Studies, Wiley Blackwell, vol. 38(3), pages 427-448, September.
    22. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers 88, Queen Elizabeth House, University of Oxford.
    23. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers 83, Queen Elizabeth House, University of Oxford.
    24. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    25. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    26. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    27. Fehr, Dietmar & Hakimov, Rustamdjan & Kübler, Dorothea, 2015. "The willingness to pay–willingness to accept gap: A failed replication of Plott and Zeiler," European Economic Review, Elsevier, vol. 78(C), pages 120-128.
    28. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    29. Hanemann, W Michael, 1991. "Willingness to Pay and Willingness to Accept: How Much Can They Differ?," American Economic Review, American Economic Association, vol. 81(3), pages 635-647, June.
    30. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    31. Machiel van Dijk, 2017. "Estimating the weight of opportunity costs in housing consumption," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5762-5770, December.
    32. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
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