Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/128554
Authors: 
Han, Xuehui
Wei, Shang-Jin
Year of Publication: 
2015
Series/Report no.: 
ADB Economics Working Paper Series 436
Abstract: 
Why do some economies grow faster than others? Do economies in the middle-income range face especially difficult challenges producing consistent growth? Using a transition matrix analysis on decade-level growth rates, we find that the data clearly reject the idea that middle-income economies either have a high absolute probability of being stuck where they are or have a higher relative probability of being stuck than the low- or high-income groups. In this sense, the notion of a "middleincome trap" is not supported by the data. However, economies in a given income range have different fundamentals and policies, and relative growth across economies may depend on these variables. Since development economists and practitioners have proposed a long list of variables that could affect growth, we employ a recently developed nonparametric classification technique (conditional inference tree and random forest) to decipher the relevance and relative importance of various growth determinants. We find that the list of variables that can help distinguish fast- and slow-growing economies is relatively short, and varies by income groups. For low-income economies, favorable demographics, macroeconomic stability, good education system, and good transport infrastructure appear to be the most important separating variables. For middle-income economies, favorable demographics, macroeconomic stability, sound global economic environment, and openness to foreign direct investment (FDI) appear to be the key discriminatory variables. This framework also yields conditions under which economies in the low- and middle-income range are trapped or even move backward.
Subjects: 
conditional inference regression tree
economic growth
growth determinants
infrastructure
middle-income trap
JEL: 
C14
C30
F01
F60
O11
O43
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/3.0/igo/
Document Type: 
Working Paper

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