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Evaluating the OECD’s main economic indicators at anticipating recessions*
- Source :
- Journal of Forecasting. 40:80-93
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Using receiver operating characteristic (ROC) techniques, we evaluate the predictive content of the monthly main economic indicators (MEI) of the Organization for Economic Co‐operation and Development (OECD) for predicting both growth cycle and business cycle recessions at different horizons. From a sample that covers 123 indicators for 32 OECD countries as well as for Brazil, China, India, Indonesia, the Russian Federation, and South Africa, our results suggest that the OECD's MEI show a high overall performance in providing early signals of economic downturns worldwide, albeit they perform a bit better at anticipating business cycles than growth cycles. Although the performance for OECD and non‐OECD members is similar in terms of timeliness, the indicators are more accurate at anticipating recessions for OECD members. Finally, we find that some single indicators, such as interest rates, spreads, and credit indicators, perform even better than the composite leading indicators.
- Subjects :
- Macroeconomics
Growth cycle
050208 finance
Strategy and Management
media_common.quotation_subject
05 social sciences
Sample (statistics)
Management Science and Operations Research
Recession
Computer Science Applications
Interest rate
Economic indicator
Economic inequality
Modeling and Simulation
0502 economics and business
Business cycle
Economics
050207 economics
Statistics, Probability and Uncertainty
China
media_common
Subjects
Details
- ISSN :
- 1099131X and 02776693
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Journal of Forecasting
- Accession number :
- edsair.doi...........6eaa8f7f570b85c6bdb0c403b213fba2
- Full Text :
- https://doi.org/10.1002/for.2709