EconPapers    
Economics at your fingertips  
 

Metody ekonometryczne w modelach wzrostu gospodarczego

Łukasz Goczek

Gospodarka Narodowa-The Polish Journal of Economics, 2012, vol. 2012, issue 10

Abstract: The article aims to review and assess different econometric methods used in the estimation of empirical models of economic growth. Such models play an important role in the economy because they yield conclusions for policymakers, the author says. His research showed that the preferred method for the estimation of dynamic models of growth based on cross-temporal data is the Generalized Method of Moments applied simultaneously on the levels and first differences with error correction used in small samples. However, in some cases, more accurate estimates could be obtained by using either the Kiviet or Pooled Mean Group (PMG) estimator instead of the Generalized Method of Moments, the author concludes.

Keywords: Financial; Economics (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/358640/files/Goczek.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:ags:polgne:358640

DOI: 10.22004/ag.econ.358640

Access Statistics for this article

More articles in Gospodarka Narodowa-The Polish Journal of Economics from Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-05-31
Handle: RePEc:ags:polgne:358640