IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2022-61.html
   My bibliography  Save this paper

Beliefs, Aggregate Risk, and the U.S. Housing Boom

Author

Abstract

Endogenously optimistic beliefs about future house prices can account for the path and standard deviation of house prices in the U.S. housing boom of the 2000s. In a general equilibrium model with incomplete markets and aggregate risk, agents form beliefs about future house prices in response to shocks to fundamentals. In an income expansion with looser credit conditions, agents are more likely to underpredict house prices and revise up their beliefs. Matching the standard deviation and steady rise in house prices results in homeownership becoming less affordable later in the boom as well as consumption dynamics that match the data.

Suggested Citation

  • Margaret M. Jacobson, 2022. "Beliefs, Aggregate Risk, and the U.S. Housing Boom," Finance and Economics Discussion Series 2022-061, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2022-61
    DOI: 10.17016/FEDS.2022.061
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/feds/files/2022061pap.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.17016/FEDS.2022.061?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Klaus Adam & Pei Kuang & Albert Marcet, 2012. "House Price Booms and the Current Account," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 77-122.
    2. Cindy K Soo, 2018. "Quantifying Sentiment with News Media across Local Housing Markets," The Review of Financial Studies, Society for Financial Studies, vol. 31(10), pages 3689-3719.
    3. Katharina Knoll & Moritz Schularick & Thomas Steger, 2017. "No Price Like Home: Global House Prices, 1870-2012," American Economic Review, American Economic Association, vol. 107(2), pages 331-353, February.
    4. Karl E. Case & Robert J. Shiller & Anne K. Thompson, 2012. "What Have They Been Thinking? Homebuyer Behavior in Hot and Cold Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 265-315.
    5. Hui Chen & Michael Michaux & Nikolai Roussanov, 2020. "Houses as ATMs: Mortgage Refinancing and Macroeconomic Uncertainty," Journal of Finance, American Finance Association, vol. 75(1), pages 323-375, February.
    6. Gabriel Chodorow-Reich & Adam M Guren & Timothy J McQuade, 2024. "The 2000s Housing Cycle with 2020 Hindsight: A Neo-Kindlebergerian View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 785-816.
    7. Martin Beraja & Erik Hurst & Juan Ospina, 2019. "The Aggregate Implications of Regional Business Cycles," Econometrica, Econometric Society, vol. 87(6), pages 1789-1833, November.
    8. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    9. Dong, Ding & Liu, Zheng & Wang, Pengfei & Zha, Tao, 2022. "A theory of housing demand shocks," Journal of Economic Theory, Elsevier, vol. 203(C).
    10. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    11. Albert Marcet & Juan P. Nicolini, 2003. "Recurrent Hyperinflations and Learning," American Economic Review, American Economic Association, vol. 93(5), pages 1476-1498, December.
    12. Albanesi, Stefania & DeGiorgi, Giacomo & Nosal, Jaromir, 2022. "Credit growth and the financial crisis: A new narrative," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 118-139.
    13. Christopher L. Foote & Paul S. Willen, 2018. "Mortgage-Default Research and the Recent Foreclosure Crisis," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 59-100, November.
    14. Caines, Colin, 2020. "Can learning explain boom-bust cycles in asset prices? An application to the US housing boom," Journal of Macroeconomics, Elsevier, vol. 66(C).
    15. Adam, Klaus & Marcet, Albert, 2011. "Internal rationality, imperfect market knowledge and asset prices," Journal of Economic Theory, Elsevier, vol. 146(3), pages 1224-1252, May.
    16. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2016. "Understanding Booms and Busts in Housing Markets," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1088-1147.
    17. Lubik, Thomas A. & Matthes, Christian, 2016. "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 85-106.
    18. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
    19. Greg Kaplan & Kurt Mitman & Giovanni L. Violante, 2020. "The Housing Boom and Bust: Model Meets Evidence," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3285-3345.
    20. Jane K. Dokko & Benjamin J. Keys & Lindsay E. Relihan, 2019. "Affordability, financial innovation and the start of the housing boom," CEP Discussion Papers dp1611, Centre for Economic Performance, LSE.
    21. Greg Kaplan & Giovanni L. Violante, 2014. "A Model of the Consumption Response to Fiscal Stimulus Payments," Econometrica, Econometric Society, vol. 82(4), pages 1199-1239, July.
    22. Mariacristina De Nardi, 2004. "Wealth Inequality and Intergenerational Links," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 743-768.
    23. SeHyoun Ahn & Greg Kaplan & Benjamin Moll & Thomas Winberry & Christian Wolf, 2018. "When Inequality Matters for Macro and Macro Matters for Inequality," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 1-75.
    24. Manuel Adelino & Antoinette Schoar & Felipe Severino, 2018. "Dynamics of Housing Debt in the Recent Boom and Great Recession," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 265-311.
    25. Den Haan, Wouter J., 2010. "Assessing the accuracy of the aggregate law of motion in models with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 79-99, January.
    26. Christopher L. Foote & Kristopher S. Gerardi & Paul S. Willen, 2012. "Why Did So Many People Make So Many Ex Post Bad Decisions? The Causes of the Foreclosure Crisis," NBER Working Papers 18082, National Bureau of Economic Research, Inc.
    27. Granziera, Eleonora & Kozicki, Sharon, 2015. "House price dynamics: Fundamentals and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 152-165.
    28. Andra Ghent, 2012. "Infrequent Housing Adjustment, Limited Participation, and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 931-955, August.
    29. Alessia De Stefani, 2021. "House price history, biased expectations, and credit cycles: The role of housing investors," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1238-1266, December.
    30. Milani, Fabio, 2014. "Learning and time-varying macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 94-114.
    31. Kerwin Kofi Charles & Erik Hurst & Matthew J. Notowidigdo, 2018. "Housing Booms and Busts, Labor Market Opportunities, and College Attendance," American Economic Review, American Economic Association, vol. 108(10), pages 2947-2994, October.
    32. Bulent Guler, 2015. "Innovations in Information Technology and the Mortgage Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(3), pages 456-483, July.
    33. McClements, L. D., 1977. "Equivalence scales for children," Journal of Public Economics, Elsevier, vol. 8(2), pages 191-210, October.
    34. Christopher L. Foote & Lara Loewenstein & Paul S. Willen, 2018. "Technological Innovation in Mortgage Underwriting and the Growth in Credit: 1985-2015," Working Papers (Old Series) 1816, Federal Reserve Bank of Cleveland.
    35. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    36. Giusto, Andrea, 2014. "Adaptive learning and distributional dynamics in an incomplete markets model," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 317-333.
    37. Jack Favilukis & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2017. "The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk Sharing in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 140-223.
    38. Griffin, John M. & Kruger, Samuel & Maturana, Gonzalo, 2021. "What drove the 2003–2006 house price boom and subsequent collapse? Disentangling competing explanations," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1007-1035.
    39. Niu, Geng & van Soest, Arthur, 2014. "House Price Expectations," IZA Discussion Papers 8536, Institute of Labor Economics (IZA).
    40. L Rachel Ngai & Kevin D Sheedy, 2020. "The Decision to Move House and Aggregate Housing-Market Dynamics [Opportunistic Matching in the Housing Market]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2487-2531.
    41. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1449-1496.
    42. Giannitsarou, Chryssi, 2005. "E-Stability Does Not Imply Learnability," Macroeconomic Dynamics, Cambridge University Press, vol. 9(2), pages 276-287, April.
    43. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    44. Carlos Garriga & Rodolfo Manuelli & Adrian Peralta-Alva, 2019. "A Macroeconomic Model of Price Swings in the Housing Market," American Economic Review, American Economic Association, vol. 109(6), pages 2036-2072, June.
    45. Josue Cox & Sydney C. Ludvigson, 2021. "Drivers of the great housing boom‐bust: Credit conditions, beliefs, or both?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(3), pages 843-875, September.
    46. Martin Schneider & Monika Piazzesi, 2009. "Momentum traders in a search model of the housing market," 2009 Meeting Papers 1266, Society for Economic Dynamics.
    47. repec:hal:pseose:hal-01301589 is not listed on IDEAS
    48. Grey Gordon, 2015. "Evaluating default policy: The business cycle matters," Quantitative Economics, Econometric Society, vol. 6(3), pages 795-823, November.
    49. Per Krusell & Anthony A. Smith & Jr., 1998. "Income and Wealth Heterogeneity in the Macroeconomy," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 867-896, October.
    50. Cebenoyan, A. Sinan & Strahan, Philip E., 2004. "Risk management, capital structure and lending at banks," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 19-43, January.
    51. Barucci, Emilio & Landi, Leonardo, 1997. "Least mean squares learning in self-referential linear stochastic models," Economics Letters, Elsevier, vol. 57(3), pages 313-317, December.
    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. Greg Howard & Jack Liebersohn, 2023. "Regional Divergence and House Prices," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 312-350, July.

    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. Greg Kaplan & Kurt Mitman & Giovanni L. Violante, 2020. "The Housing Boom and Bust: Model Meets Evidence," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3285-3345.
    2. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    3. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    4. Caines, Colin, 2020. "Can learning explain boom-bust cycles in asset prices? An application to the US housing boom," Journal of Macroeconomics, Elsevier, vol. 66(C).
    5. Greg Howard & Jack Liebersohn, 2023. "Regional Divergence and House Prices," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 312-350, July.
    6. Paolo Gelain & Kevin J. Lansing & Gisle J. Natvik, 2018. "Explaining the Boom–Bust Cycle in the U.S. Housing Market: A Reverse‐Engineering Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1751-1783, December.
    7. Pedro Gete, 2015. "Housing demands, savings gluts and current account dynamics," Globalization Institute Working Papers 221, Federal Reserve Bank of Dallas.
    8. Zhenyu Gao & Michael Sockin & Wei Xiong, 2020. "Learning about the Neighborhood," NBER Working Papers 26907, National Bureau of Economic Research, Inc.
    9. Pancrazi, Roberto & Pietrunti, Mario, 2019. "Natural expectations and home equity extraction," Journal of Housing Economics, Elsevier, vol. 46(C).
    10. Luis Armona & Andreas Fuster & Basit Zafar, 2019. "Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1371-1410.
    11. Charles Ka Yui LEUNG, 2022. "Housing and Macroeconomics," ISER Discussion Paper 1197, Institute of Social and Economic Research, Osaka University.
    12. DeFusco, Anthony A. & Nathanson, Charles G. & Zwick, Eric, 2022. "Speculative dynamics of prices and volume," Journal of Financial Economics, Elsevier, vol. 146(1), pages 205-229.
    13. Gete, Pedro, 2020. "Expectations and the housing boom and bust. An open economy view," Journal of Housing Economics, Elsevier, vol. 49(C).
    14. Flannery, Mark J. & Lin, Leming & Wang, Luxi, 2022. "Housing booms and bank growth," Journal of Financial Intermediation, Elsevier, vol. 52(C).
    15. Jørgensen, Peter Lihn, 2023. "The global savings glut and the housing boom," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    16. Klaus Adam & Oliver Pfäuti & Timo Reinelt, 2020. "Falling Natural Rates, Rising Housing Volatility and the Optimal Inflation Target," CRC TR 224 Discussion Paper Series crctr224_2020_235, University of Bonn and University of Mannheim, Germany.
    17. Itzhak Ben-David & Pascal Towbin & Sebastian Weber, 2019. "Inferring Expectations from Observables: Evidence from the Housing Market," NBER Working Papers 25702, National Bureau of Economic Research, Inc.
    18. Daniel I. García, 2022. "Second‐home buying and the housing boom and bust," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 33-58, March.
    19. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    20. Alessia De Stefani, 2021. "House price history, biased expectations, and credit cycles: The role of housing investors," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1238-1266, December.

    More about this item

    Keywords

    Housing boom; Aggregate risk; Heterogeneous agents; Incomplete information;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    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:fip:fedgfe:2022-61. See general information about how to correct material in RePEc.

    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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.