Construction of composite business cycle indicators in a sparse data environment

Arbeitspapier

Business cycle indicators are important instruments for monitoring economic development. When employing indicators one usually relies on a sound statistical database. This paper deals with indicator development in a sparse data situation. Indicator building is merged with temporal disaggregation, which is often used by statistical offices. The discussed tools are applied in a case study for Abu Dhabi. Because the economy of Abu Dhabi is very dependent on oil, real income reflects the economic situation better than real gross domestic product (GDP). For this reason a measure of real gross domestic income (GDI) was chosen as reference series.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: CESifo Working Paper ; No. 3557

Classification and Topics

• Classification: Wirtschaft ; Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts ; Business Fluctuations; Cycles ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
• Subject: business cycle indicators ; temporal disaggregation ; terms of trade ; oil-producing countries ; Konjunkturindikator ; Aggregation ; Mineralölwirtschaft ; Einkommen ; Terms of Trade ; Vereinigte Arabische Emirate

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Abberger, Klaus ; Nierhaus, Wolfgang
• Event: Veröffentlichung
• (who): Center for Economic Studies and ifo Institute (CESifo)
• (where): Munich
• (when): 2011

Further information

• Handle: http://hdl.handle.net/10419/49479
• Last update: 10.03.2025, 11:42 AM CET