2004
DOI: 10.2139/ssrn.666761
|View full text |Cite
|
Sign up to set email alerts
|

Determination of Potential Growth Using Panel Techniques

Abstract: Die Discussion Papers dienen einer möglichst schnellen Verbreitung von neueren Forschungsarbeiten des ZEW. Die Beiträge liegen in alleiniger Verantwortung der Autoren und stellen nicht notwendigerweise die Meinung des ZEW dar.Discussion Papers are intended to make results of ZEW research promptly available to other economists in order to encourage discussion and suggestions for revisions. The authors are solely responsible for the contents which do not necessarily represent the opinion of the ZEW.Download this… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
5
0

Year Published

2007
2007
2020
2020

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 50 publications
0
5
0
Order By: Relevance
“…Since it is both a temporal and a cross sectional assessment, with the aim of assessing contribution to growth and stability, the study considers the application of the latest dynamic heterogeneous panel technique as the 28 Similar framework has been used by Cunningham (1993);Hook (2004); Kappler (2004); Hameed et al, (2008); Loganathan et al, (2010);Haider and Ali (2012) and Umaru et al, (2013) among others. A range of econometrics techniques have been used in the above studies; from multiple regression analysis to times series based Johensen (VECM) co-integration techniques.…”
Section: Empirical Tests and Findingsmentioning
confidence: 99%
“…Since it is both a temporal and a cross sectional assessment, with the aim of assessing contribution to growth and stability, the study considers the application of the latest dynamic heterogeneous panel technique as the 28 Similar framework has been used by Cunningham (1993);Hook (2004); Kappler (2004); Hameed et al, (2008); Loganathan et al, (2010);Haider and Ali (2012) and Umaru et al, (2013) among others. A range of econometrics techniques have been used in the above studies; from multiple regression analysis to times series based Johensen (VECM) co-integration techniques.…”
Section: Empirical Tests and Findingsmentioning
confidence: 99%
“…For the panel variance statistic (v-Statistic), large positive values imply that the null hypothesis of no cointegration is rejected, while for other six statistics large negative values imply that the null hypothesis is rejected (Pedroni 1997). Finally, the literature on panel cointegration argues that the most reliable statistics (especially in the case of a short panel) are panel and group ADF-statistics (Kelly & Mavrotas 2003;Kappler 2004), andv-Statistics (Bénassy-Quéré et al 2005). In accordance with these statistics and non-parametric PP-statistics, the null hypothesis about the absence of cointegration is rejected at 1 per cent significance level (see Table A.2).…”
Section: Long-run Relationshipmentioning
confidence: 99%
“…The main idea is that production requires more than just direct investment in physical capital and labor but also investment in knowledge, human capital, research and development (R&D), infrastructure, etc. (see Temple (1999Temple ( , 2001, , Barro and Sala-i Martin (2004), Kappler (2004), Durlauf et al (2005), Kim and Heshmati (2013) to mention a few). Very often, we find proxy variables of R&D and innovation (as private and public expenditures on R&D, patent and trademark applications, etc.).…”
Section: Introductionmentioning
confidence: 98%
“…A majority of the growth empirics literature on aggregate data focuses on versions of the "convergence regression equation"(Barro and Sala-i Martin (1992, 1997, 2004,Mankiw et al (1992),Islam (1995) to mention a few. )…”
mentioning
confidence: 99%