Abstract
Performance information is intended to be useful to managers and policymakers involved in the operation of systems under their stewardship. In order to statistically forecast the performance of any system it is necessary to determine if the system is in statistical control. Several methods have been developed to measure economic performance. However despite the positive outcomes in reducing uncertainty about economic performance, existing models have not been successful in accurately predicting turning points in the economy. This paper presents an engineering point of view to economic growth forecasting and provides information on the nature of statistical variations of economic growth.
| Original language | English |
|---|---|
| Pages | 2051-2056 |
| Number of pages | 6 |
| State | Published - 2004 |
| Event | IIE Annual Conference and Exhibition 2004 - Houston, TX, United States Duration: May 15 2004 → May 19 2004 |
Conference
| Conference | IIE Annual Conference and Exhibition 2004 |
|---|---|
| Country | United States |
| City | Houston, TX |
| Period | 05/15/04 → 05/19/04 |
Keywords
- Control charts
- Growth systems, economic growth
- Non-zero slope growth
Fingerprint Dive into the research topics of 'Turning point economics: A micro-economic analysis of trend fluctuation'. Together they form a unique fingerprint.
Cite this
Beruvides, M. G., & Canto, A. M. (2004). Turning point economics: A micro-economic analysis of trend fluctuation. 2051-2056. Paper presented at IIE Annual Conference and Exhibition 2004, Houston, TX, United States.