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BOOMS AND BUSTS IN A HOUSING MARKET WITH HETEROGENEOUS AGENTS

Published online by Cambridge University Press:  03 July 2017

G. Ascari
Affiliation:
University of Oxford and University of Pavia
N. Pecora
Affiliation:
Catholic University
A. Spelta*
Affiliation:
Catholic University
*
Address correspondence to: Alessandro Spelta, Catholic University, Largo Gemelli 1, 20100, Milano, Italy; e-mail: alessandro.spelta@unicatt.it.

Abstract

We develop a dynamic partial equilibrium model of the housing market, in which the dynamics of the house price is determined by the interaction between chartists and fundamentalists. The model endogenously generates episodes of boom and bust in the house price and can replicate the recent US house price dynamics, and points to endogenous and exogenous behavioral factors as the main determinants of such dynamics.

Type
Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

REFERENCES

Adam, K., Kuang, P., and Marcet, A. (2011) House price booms and the current account. In Acemoglu, D. and Woodford, M. (eds.), NBER Macroeconomics Annual 2011, vol. 26, pp. 77122. Chicago: University of Chicago Press.Google Scholar
Benito, A. and Mumtaz, H. (2009) Excess sensitivity, liquidity constraints, and the collateral role of housing. Macroeconomic Dynamics 13 (03), 305326.Google Scholar
Bolt, W., Demertzis, M., Diks, C., Hommes, C. H., and van der Leij, M. (2014) Identifying Booms and Busts in House Prices under Heterogeneous Expectations. Mimeo, University of Amsterdam.Google Scholar
Brock, W. A. and Hommes, C. H. (1997) A rational route to randomness. Econometrica 65 (5), 10591095.Google Scholar
Brock, W. A. and Hommes, C. H. (1998) Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic dynamics and Control 22 (8), 12351274.Google Scholar
De Grauwe, P. and Kaltwasser, P. R. (2012) Animal spirits in the foreign exchange market Journal of Economic Dynamics and Control 36 (8), 11761192.Google Scholar
Eickmeier, S. and Hofmann, B. (2013) Monetary policy, housing booms, and financial (im)balances. Macroeconomic dynamics 17 (04), 830860.Google Scholar
Favilukis, J., Ludvigson, S. C., and Van Nieuwerburgh, S. (2010) The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk-Sharing in General Equilibrium. No. w15988. National Bureau of Economic Research.Google Scholar
Gelain, P., Lansing, K. J. and Mendicinoc, C. (2013) House prices, credit growth, and excess volatility: Implications for monetary and macroprudential policy. International Journal of Central Banking 9 (2), 219276.Google Scholar
Hommes, C. H. (2011) The heterogeneous expectations hypothesis: Some evidence from the lab. Journal of Economic Dynamics and Control 35 (1), 124.Google Scholar
Iacoviello, M. (2005) House prices, borrowing constraints, and monetary policy in the business cycle. American Economic Review 95 (3), 739764.Google Scholar
Iacoviello, M. and Neri, S. (2010) Housing market spillovers: Evidence from an estimated DSGE model. American Economic Journal: Macroeconomics 2 (2), 125164.Google Scholar
Justiniano, A., Primiceri, G. E., and Tambalotti, A. (2015) Household leveraging and deleveraging. Review of Economic Dynamics 18 (1), 320.Google Scholar
Kiyotaki, N., Michaelides, A., and Nikolov, K. (2011) Winners and losers in housing markets. Journal of Money, Credit and Banking 43 (2–3), 255296.Google Scholar
Kiyotaki, N. and Moore, J. (1997) Credit cycles. Journal of Political Economy 105 (2), 211248.Google Scholar
Kontonikas, A. and Montagnoli, A. (2006) Optimal monetary policy and asset price misalignments. Scottish Journal of Political Economy 53 (5), 636654.Google Scholar
LeBaron, B. (2006) Agent-Based computational finance. Handbook of Computational Economics 2, 11871233.Google Scholar
Lengnick, M. and Wohltmann, H. W. (2013) Agent-Based financial markets and New Keynesian macroeconomics: A synthesis. Journal of Economic Interaction and Coordination 8 (1), 132.Google Scholar
Lengnick, M. and Wohltmann, H. W. (2016) Optimal monetary policy in a new Keynesian model with animal spirits and financial markets. Journal of Economic Dynamics and Control 64 (8), 148165.Google Scholar
Liu, Z., Wang, P., and Zha, T. (2013) Land-price dynamics and macroeconomic fluctuations. Econometrica 81 (3), 11471184.Google Scholar
Mian, A. and Sufi, A. (2009) The consequences of mortgage credit expansion: Evidence from the US mortgage default crisis. Quarterly Journal of Economics 124 (4), 14491496.Google Scholar
Naimzada, A. and Pireddu, M. (2014) Dynamic behavior of product and stock markets with a varying degree of interaction. Economic Modelling 41 (21), 191197.Google Scholar
Shiller, R. J. (2007) Understanding Recent Trends in House Prices and Home Ownership. No. w13553. National Bureau of Economic Research.Google Scholar
Shiller, R. J. (2008) Historic turning points in real estate. Eastern Economic Journal 34 (1), 113.Google Scholar
Shiller, R. J. (2012) The Subprime Solution: How Today's Global Financial Crisis Happened, and What to do About it. Princeton: Princeton University Press.Google Scholar
Shiller, R. J. (2015) Irrational Exuberance. Princeton: Princeton University Press.Google Scholar
Tversky, A. and Kahneman, D. (1973) Availability: A heuristic for judging frequency and probability. Cognitive Psychology 5 (2), 207232.Google Scholar
Westerhoff, F. H. (2008) The use of Agent-Based financial market models to test the effectiveness of regulatory policies. Jahrbucher Fur Nationalokonomie Und Statistik 228 (2), 195227.Google Scholar
Westerhoff, F. H. (2012) Interactions between the real economy and the stock market: A simple agent-based approach. Discrete Dynamics in Nature and Society 2012, Article ID 504840.Google Scholar