The Geography of Output Volatility

Working Paper: CEPR ID: DP5516

Authors: Adeel Malik; Jonathan Temple

Abstract: This paper examines the structural determinants of output volatility in developing countries, and especially the roles of geography and institutions. We investigate the volatility effects of market access, climate variability, the geographic predisposition to trade, and various measures of institutional quality. We find an especially important role for market access: remote countries are more likely to have undiversified exports and to experience greater volatility in output growth. Our results are based on Bayesian methods that allow us to address formally the problem of model uncertainty and to examine robustness across a wide range of specifications.

Keywords: Bayesian model averaging; geography; institutions; volatility

JEL Codes: E30; O11


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
geographic remoteness (R12)increased output volatility (E32)
weak institutions (O17)increased output volatility (E32)
geographic characteristics (R12)output volatility (E23)
institutional quality (L15)output volatility (E23)

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