Assessing the time intervals between economic recessions.

Area of Science:

• Economics
• Statistics
• Econometrics

Background:

• Economic recessions cause significant GDP, employment, and investment losses.
• Predicting recession timing is crucial for economic stability and policy-making.

Purpose of the Study:

• To propose a novel statistical model for analyzing time intervals between economic recessions.
• To account for economic state, market adjustments, and regulatory changes in recession prediction.
• To validate the model's efficacy and compare it with existing distributions.

Main Methods:

• Utilized a generalized renewal process based on the Gumbel distribution (GuGRP).
• Developed a novel goodness-of-fit test specifically for the GuGRP model.
• Analyzed recession data from the U.S. and Europe.

Main Results:

• The GuGRP model effectively characterizes recession inter-arrival times.
• The proposed model demonstrates superior performance compared to simpler, commonly used distributions.
• The model successfully validates the statistical analysis of recessions.

Conclusions:

• The GuGRP statistical model provides a robust framework for understanding and forecasting economic recessions.
• The model facilitates comparisons of economic adjustment processes across different economies.
• This approach enhances the ability to forecast future recession occurrences.