The Solow growth model: Vector autoregression (VAR) and cross-section time-series analysis

Pantelis Kalaitzidakis, George Korniotis

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The paper examines whether the Mankiw et al. results regarding the Solow model are specific to the statistical methodology used. Therefore, instead of using cross-section data, annual data were used and the Solow model was investigated using a Vector Auto Regression (VAR) analysis for the G7 countries, and cross-section time-series data for the G3 countries. Analysis shows that, in both cases, the Mankiw et al. results generally hold. It also shows that the use of annual data can play an important and complementary role in revealing the differences in the growth process between individual countries.

Original languageEnglish (US)
Pages (from-to)739-747
Number of pages9
JournalApplied Economics
Volume32
Issue number6
StatePublished - 2000
Externally publishedYes

Fingerprint

Time series analysis
Vector autoregression
Cross section
Solow model
Solow growth model
Time series data
G-7 countries
Regression analysis
Methodology

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

The Solow growth model : Vector autoregression (VAR) and cross-section time-series analysis. / Kalaitzidakis, Pantelis; Korniotis, George.

In: Applied Economics, Vol. 32, No. 6, 2000, p. 739-747.

Research output: Contribution to journalArticle

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