Arbeitspapier

Spatial Concentration of Military Dictatorships in Sub-Saharan Africa (1977-2007)

We empirically investigate the existence of spatial autocorrelation between military dictatorships in Sub-Saharan Africa from 1977 through 2007. We apply a Bayesian SAR probit regression, extended to a pooled model. We find a robust and positive spatial autocorrelation coefficient, which shows a spatial concentration of military autocracies. In particular, in the aftermath of Cold War military regimes cluster in the central region. Among covariates, interestingly, foreign aid shows a positive association with military regimes during the Cold War while it turns to exhibit a negative association after 1989. With regard to other economic covariates, we find that: a) there is a negative association between GDP per capita and the existence of a military autocracy; b) a larger manufacturing sector is associated with a smaller probability of a military rule; c) a larger mining sector is associated with a higher likelihood of military rules; d) trade openness reduces the likelihood of militarization.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 4802

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Structure, Scope, and Performance of Government
Economic History: Government, War, Law, International Relations, and Regulation: Africa; Oceania
Thema
military dictatorship
Sub-Saharan Africa
Bayesian SAR probit model
spatial autocorrelation
diffusion
concentration

Ereignis
Geistige Schöpfung
(wer)
Caruso, Raul
Petrarca, Ilaria
Ricciuti, Roberto
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2014

Handle
Letzte Aktualisierung
20.09.2024, 08:23 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Caruso, Raul
  • Petrarca, Ilaria
  • Ricciuti, Roberto
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2014

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