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dc.creatorBermúdez,Cecilia
dc.creatorDabús,Carlos D
dc.creatorGonzález,Germán H
dc.date2015-05-01
dc.date.accessioned2019-04-25T12:42:04Z
dc.date.available2019-04-25T12:42:04Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0719-04332015000100001
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/61328
dc.descriptionWe estimate a dynamic panel data model to assess the relationship between different levels of instability-proxied by growth volatility and inflation- and growth in Latin America from 1960 to 2011. Outlying observations could be mistakenly treated as thresholds or regime switch. Hence we use k-median clustering to mitigate the outlier problem and properly identify "scenarios" of instability. Our key findings are that while high inflation is harmful, low inflation is in fact positively related to growth. Volatility is also found to be significant and negative, but with no differential effect- between low and high levels-on growth.
dc.formattext/html
dc.languageen
dc.publisherPontificia Universidad Católica de Chile. Instituto de Economía.
dc.relation10.7764/LAJE.52.1.1
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceLatin american journal of economics v.52 n.1 2015
dc.subjectinstability
dc.subjectgrowth
dc.subjectLatin America
dc.subjectclustering
dc.titleREEXAMINING THE LINK BETWEEN INSTABILITY AND GROWTH IN LATIN AMERICA: A DYNAMIC PANEL DATA ESTIMATION USING K-MEDIAN CLUSTERS


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