Abstract
We investigate the nonlinear effects of real estate uncertainty shocks and the role of financial conditions in the U.S. over the business cycle. We employ a logistic smooth transition vector autoregressive (LSTVAR) model and identify uncertainty shocks through short-run restrictions. The results illustrate that real estate uncertainty shocks negatively affect the housing market, reducing housing prices, housing starts, and employment in the construction sector. The influence of these shocks is notably more pronounced during recessions when compared to results from a standard linear VAR model in terms of the magnitude and persistence of the responses of the housing market-related variables. Additionally, favorable financial conditions dampen the dynamic responses of both macroeconomic indicators and the housing market to real estate uncertainty.
| Original language | English |
|---|---|
| Pages (from-to) | 656-675 |
| Number of pages | 20 |
| Journal | International Review of Economics and Finance |
| Volume | 89 |
| DOIs | |
| State | Published - 2024.01 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Financial conditions
- Housing market
- LSTVAR
- Real estate uncertainty
Quacquarelli Symonds(QS) Subject Topics
- Accounting & Finance
- Economics & Econometrics
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