Abstract

AbstractThe objective of this paper is to investigate how the housing market and credit market factors contribute to US business and interest rate cycles in a time-varying transition probability modeling framework. The Markov switching results appear to exhibit periods of low-growth regime and highgrowth regime for both house and credit markets. The study also shows that the transition probabilities reflecting the regime switching behavior of business and interest rate cycles vary over time as functions of the house and credit market. We find that both the housing market and credit market contribute to whether the economy remains in a high-growth regime or moves into lowgrowth regime, and whether the interest rates remain in a low or high-growth regime. The results show that the housing market plays a leading role in affecting the time-varying probabilities between regimes for the business and interest rate cycles.

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