An Analysis of the Empirical Modelling Approaches to the Real Business Cycle (RBC) Model and Aggregate Technology
Abstract
This paper provides analysis of the various econometric modelling methods utilized in Real Business Cycle (RBC) Model to measure aggregate technology shocks. It sheds insight into the concept of employing the Solow residual (purified technology) to determine the shifts in the production function, and/or in essence estimate the shocks to the economy. In addition, it provides a comparative analysis of the different methodologies and findings. The findings in this study can serve as a useful tool for macroeconomic policy formulation and implementation, especially in relation to the whole economy performance, expansion, recession, employment and investments.
Full Text: PDF
Abstract
This paper provides analysis of the various econometric modelling methods utilized in Real Business Cycle (RBC) Model to measure aggregate technology shocks. It sheds insight into the concept of employing the Solow residual (purified technology) to determine the shifts in the production function, and/or in essence estimate the shocks to the economy. In addition, it provides a comparative analysis of the different methodologies and findings. The findings in this study can serve as a useful tool for macroeconomic policy formulation and implementation, especially in relation to the whole economy performance, expansion, recession, employment and investments.
Full Text: PDF
Browse Journals
Journal Policies
Information
Useful Links
- Call for Papers
- Submit Your Paper
- Publish in Your Native Language
- Subscribe the Journal
- Frequently Asked Questions
- Contact the Executive Editor
- Recommend this Journal to Librarian
- View the Current Issue
- View the Previous Issues
- Recommend this Journal to Friends
- Recommend a Special Issue
- Comment on the Journal
- Publish the Conference Proceedings
Latest Activities
Resources
Visiting Status
Today | 33 |
Yesterday | 26 |
This Month | 245 |
Last Month | 3204 |
All Days | 1083603 |
Online | 4 |