zvab.com wurde im letzten Monat von mehr als 10.000 Nutzern besucht
Entdecken Sie eine große Auswahl von Büchern, Kunst und Sammlerstücken auf ZVAB.com. Professionelle Verkäufer & internationales Angebot.
Suchergebnisse
Suchergebnisse:
5. Aug. 2020 · We build a model of the US economy with multiple aggregate shocks that generate fluctuations in equilibrium house prices. Through counterfactual experiments, we study the housing boom-bust around the Great Recession, with three main results.
- Greg Kaplan, Kurt Mitman, Giovanni L. Violante
- 2020
Through a series of counterfactual experiments, we study the housing boom and bust around the Great Recession and obtain three main results. First, we find that the main driver of movements in house prices and rents was a shift in beliefs.
- Greg Kaplan, Kurt Mitman, Giovanni L. Violante
- 2020
The Housing Boom and Bust: Model Meets Evidence Greg Kaplan, Kurt Mitman, and Giovanni L Violante NBER Working Paper No. 23694 August 2017 JEL No. D10,D31,E21,E30,E40,E51 ABSTRACT We build a model of the U.S. economy with multiple aggregate shocks (income, housing finance
- 750KB
- Greg Kaplan, Kurt Mitman, Giovanni L. Violante
- 70
- 2020
- Greg Kaplan
- Kurt Mitman
- Giovanni L. Violante
- A. Overview
- 2 lbph ð Q Þh : (8)
- E. Production
- B. Homeownership
- C. Decoupling of House Prices and Homeownership
- F. Cross-Sectional Distribution of Debt and Foreclosures
- V. Understanding Our Results
- C. Alternative Models of the Rental Market
- VII. Conclusions
University of Chicago, Institute for Fiscal Studies, and National Bureau of Economic Research
Institute for International Economic Studies, Stockholm University, Centre for Economic Policy Research, and Institute for Labor Economics
Princeton University, Center for Economic Behavior and Inequality, Centre for Economic Policy Research, Institute for Fiscal Studies, Institute for Labor Economics, and National Bureau of Economic Research We build a model of the US economy with multiple aggregate shocks that generate fluctuations in equilibrium house prices. Through coun-terfactua...
Our economy is populated by overlapping generations of households whose life cycle is divided between work and retirement. During the work-ing stage, they are subject to uninsurable idiosyncratic shocks to their ef-ficiency units of labor, which are supplied inelastically to a competitive production sector. Households can save in a noncontingent fi...
Government. The government runs a pay-as-you-go social security sys- — tem. Retirees receive social security benefits yret rssyw JretðV Þ, where r ss is a 5 replacement rate, the argument of the benefit function proxies for het-erogeneity in lifetime earnings, and V is average value of aggregate pro-ductivity (we thus abstract from aggregate uncert...
There are two production sectors in the economy: a final-good sector that produces nondurable consumption (the numeraire good of the economy) and a construction sector that produces new houses. Labor is perfectly mobile across sectors. 1. Final-Good Sector The competitive final-good sector operates a constant-returns-to-scale technology
Figure 4, which displays the model’s implication forhomeownership, shows that the benchmark model matches the dynamics in the data well. By itself, the belief shock reduces homeownership during the boom by pushing down the rent-price ratio (dashed line in fig. 4), for two reasons. First, rents are cheaper relative to prices, which moves people at t...
We have shown that a relaxation of credit conditions has a strong effect on homeownership but not on house prices. What explains this surpris-ing decoupling of house prices from homeownership dynamics follow-ing a credit shock? Households in the model choose to own rather than rent for one of three reasons: (1) in order to live in a house larger th...
In appendix G, we show that our model is consistent with two key features of the cross-sectional distribution of housing debt and distress. First, we show that the model reproduces the level and change in the share of out-standing mortgage debt owed by different parts of the household income distribution. Second, we show that the model tracks the r...
Lying at the heart of all the results in section IV are differences in the way the economy responds to changes in beliefs about future housing de-mand, versus changes in credit conditions. In sections V.A and V.B, we show how alternative modeling choices for these two shocks would affect our findings. In section V.C, we show that our findings are r...
In this section, we show that our conclusions about the role of belief shifts and credit conditions are robust to how we model the rental mar-ket. We explore four extensions: different degrees of segmentation between rental and property markets, the introduction of various frictions in the problem of the rental company, a model with fixed rents, an...
Viewed through the lens of our model, the housing boom-bust of the 2000s was caused by shifts in expectations about future house price growth. These beliefs were shared by households, investors, and lenders. In particular, the wave of optimistic beliefs during the boom induced lenders to endogenously expand cheaper credit to risky borrowers. At the...
15. Aug. 2017 · The Housing Boom and Bust: Model Meets Evidence. CEPR Discussion Paper No. DP12215. 72 Pages Posted: 15 Aug 2017. Greg Kaplan. University of Chicago - Department of Economics; Princeton University. Kurt Mitman. Stockholm University; Centre for Economic Policy Research (CEPR) Giovanni L. Violante.
- Greg Kaplan, Kurt Mitman, Kurt Mitman, Giovanni L. Violante, Giovanni L. Violante
- 2017
10. Aug. 2017 · Through a series of counterfactual experiments, we study the housing boom and bust around the Great Recession and obtain three main results. First, we find that the main driver of movements in house prices and rents was a shift in beliefs.
2. März 2020 · The Housing Boom and Bust: Model Meets Evidence. March 2020. Journal of Political Economy 128 (9) DOI: 10.1086/708816. Authors: Gianluca Violante. Greg Kaplan. Kurt Mitman. Stockholm...
