Artikel

Spurious regressions and near-multicollinearity, with an application to aid, policies and growth

In multiple regressions, explanatory variables with simple correlation coefficients with the dependent variable below 0.1 in absolute value (such as aid/gross domestic product (GDP) with GDP growth) face a problem of parameter identification. They may have very large, statistically significant, estimated parameters which are unfortunately "outliers driven" and spurious. This is obtained by including another regressor which is highly correlated with the initial regressor, such as a lag, a square or interaction terms of this regressor. The analysis is applied on the "Gambia and Botswana outliers driven" Burnside and Dollar [2000] article which found that aid/GDP had an effect on growth only for countries achieving "good" macroeconomic policies.

Sprache
Englisch

Erschienen in
Journal: Journal of macroeconomics ; ISSN: 0164-0704 ; Volume: 39 ; Year: 2014 ; Issue: A ; Pages: 85-96 ; Amsterdam: Elsevier

Klassifikation
Wirtschaft
Hypothesis Testing: General
International Linkages to Development; Role of International Organizations
Other Economic Systems: International Trade, Finance, Investment and Aid
Thema
spurious regression
identification
hypothesis testing
near-multicollinearity
conditional independence
foreign aid
economic growth
economic growth
identification
hypothesis testing
near-multicollinearity
conditional independence
foreign aid
spurious regression

Ereignis
Geistige Schöpfung
(wer)
Chatelain, Jean-Bernard
Ralf, Kirsten
Ereignis
Veröffentlichung
(wer)
Elsevier
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
(wo)
Amsterdam
(wann)
2014

DOI
doi:10.1016/j.jmacro.2013.11.003
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Chatelain, Jean-Bernard
  • Ralf, Kirsten
  • Elsevier
  • ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft

Entstanden

  • 2014

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