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Does rental housing market stabilize the economy? A micro and macro perspective

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  • Michal Rubaszek
  • Margarita Rubio

Abstract

The size of the rental housing market in most countries around the globe is low. In this article we claim that this may be detrimental for macroeconomic stability. Toward this aim we, determine the reasons behind rental market underdevelopment by conducting an original survey among a representative group of 1005 Poles, a country that is characterized by high homeownership ratio. We find that households' preferences are strongly influenced by economic and psychological factors. Next, we propose a DSGE model in which households satisfy housing needs both by owning and renting. We use it to show that reforms enhancing the rental housing market contribute to macroeconomic stability. This micro-macro approach allows us to dig into the causes of rental market underdevelopment and design appropriate policy recommendations.

Suggested Citation

  • Michal Rubaszek & Margarita Rubio, 2017. "Does rental housing market stabilize the economy? A micro and macro perspective," Discussion Papers 2017/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    • Handle: RePEc:not:notcfc:17/06
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Does rental housing market stabilize the economy? A micro and macro perspective.
      by Christian Zimmermann in NEP-DGE blog on 2017-09-26 20:45:35

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    Cited by:

    1. Vinicius Phillipe de Albuquerquemello & Cássio Besarria, 2020. "Rental market and macroeconomics: evidence for the US," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(3), pages 587-603, August.
    2. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    3. Mateusz Tomal & Marco Helbich, 2023. "A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw," Environment and Planning B, , vol. 50(3), pages 579-599, March.
    4. Rubaszek Michał & Rubaszek Justyna, 2021. "Housing Tenure Preferences among Students from Two Polish Universities," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 71-83, June.
    5. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
    6. Engerstam, Sviatlana & Warsame, Abukar & Wilhelmsson, Mats, 2022. "Long-term dynamics of new residential supply: A case study of the apartment segment in Sweden," Working Paper Series 22/5, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    7. Mateusz Tomal & Marco Helbich, 2022. "The private rental housing market before and during the COVID-19 pandemic: A submarket analysis in Cracow, Poland," Environment and Planning B, , vol. 49(6), pages 1646-1662, July.
    8. Adam Czerniak & Michał Rubaszek, 2018. "The Size of the Rental Market and Housing Market Fluctuations," Open Economies Review, Springer, vol. 29(2), pages 261-281, April.
    9. Marek Bryx & Janusz Sobieraj & Dominik Metelski & Izabela Rudzka, 2021. "Buying vs. Renting a Home in View of Young Adults in Poland," Land, MDPI, vol. 10(11), pages 1-31, November.
    10. Li, Yaoyao & Qi, Yuan & Liu, Licheng & Hou, Yuchen & Fu, Shuya & Yao, Jingtao & Zhu, Daolin, 2022. "Effect of increasing the rental housing supply on house prices: Evidence from China’s large and medium-sized cities," Land Use Policy, Elsevier, vol. 123(C).

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    More about this item

    Keywords

    Rental housing market; survey data; DSGE model;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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