Explaining the dynamics of stagnation: An empirical examination of the North, Wallis and Weingast approach
Bluhm, Richard, De Crombrugghe, Denis and Szirmai, Adam (2012). Explaining the dynamics of stagnation: An empirical examination of the North, Wallis and Weingast approach. UNU-MERIT.
Document type:
Report
Collection:
-
Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials) Name Description MIMEType Size Downloads wp2012-040.pdf PDF application/pdf 1009.24KB -
Author Bluhm, Richard
De Crombrugghe, Denis
Szirmai, AdamTitle Explaining the dynamics of stagnation: An empirical examination of the North, Wallis and Weingast approach Publication Date 2012 Place of Publication Maastricht Publisher UNU-MERIT Pages 46 Abstract This paper analyzes periods of economic stagnation in a panel of countries. We test if stagnation episodes are predicted by institutional factors and external/internal shocks, as is implied by recent theoretical contributions, and compare the impacts of these variables with those of traditional macroeconomic variables. We examine the determinants of stagnation episodes using multivariate dynamic linear models, fixed-effects logit models, and dynamic random effects probit models. In addition, we analyze whether the included variables have different impacts on the onset of a stagnation episode than on its continuation. We find that inflation, negative regime changes, real exchange rate undervaluation, financial openness, and trade openness explain the incidence of stagnation spells. Only in the case of trade openness, there is robust evidence of a differential impact; it reduces the probability of falling into a stagnation spell, but has a weaker effect within a spell. All models account for unobserved heterogeneity and exhibit a moderate degree of positive state-dependence. Keyword Growth episodes
Stagnation
Institutions
Dynamic panel dataJEL O11
O43
C25Copyright Holder UNU-MERIT Copyright Year 2012 Copyright type Creative commons -
Citation counts Search Google Scholar Access Statistics: 828 Abstract Views, 183 File Downloads - Detailed Statistics Created: Wed, 11 Dec 2013, 17:24:02 JST