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Real estate uncertainty and financial conditions over the business cycle

  • Ingul Baek*
  • , Jia Liu
  • , Sanha Noh
  • *Corresponding author for this work
  • Kongju National University
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

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 languageEnglish
Pages (from-to)656-675
Number of pages20
JournalInternational Review of Economics and Finance
Volume89
DOIs
StatePublished - 2024.01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    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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