EconPapers    
Economics at your fingertips  
 

MACROECONOMIC FORECAST MODELS – CONCEPTS AND THEORETICAL NOTIONS

Florin Paul Costel Lilea () and Andreea – Ioana Marinescu
Additional contact information
Andreea – Ioana Marinescu: Bucharest University of Economic Studies

Romanian Statistical Review Supplement, 2017, vol. 65, issue 6, 118-123

Abstract: The present age is characterized by a rapid system of change, thus increasing the need to know these changes with the anticipation of future developments. Even if, in anticipation of future developments with the help of the macroeconomic forecast, we are talking about relative knowledge, this knowledge allows both the creation of a set of solutions to adapt to the transformations that are required, as well as the reduction of possible risks. Thus, in this article, the authors intend to present some theoretical notions regarding the macroeconomic forecast and its role in determining the evolution of activities carried out in various economic or social sectors. At the same time, based on the theoretical notions, the authors will present the particularities of the use of the linear regression model in the analysis of the evolution of the macroeconomic indicators.

Keywords: anticipation; macroeconomic forecast; model; simple regression; evolution (search for similar items in EconPapers)
JEL-codes: C40 G17 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.revistadestatistica.ro/supliment/wp-con ... S_06_2017_A06_EN.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:65:y:2017:i:6:p:118-123

Access Statistics for this article

More articles in Romanian Statistical Review Supplement from Romanian Statistical Review Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Visoiu ().

 
Page updated 2025-03-19
Handle: RePEc:rsr:supplm:v:65:y:2017:i:6:p:118-123