2014
DOI: 10.1016/j.euroecorev.2013.10.006
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Ricardian productivity differences and the gains from trade

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Cited by 36 publications
(5 citation statements)
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“…On average, the GFT rise from 8.8% to 11.6%, which represents an increase in GFT of roughly 33%. This result is consistent with previous findings in the literature (French, 2016;Levchenko & Zhang, 2014) and indicates that specialisation across sectors is an important source of GFT for many countries.…”
Section: Gft With One Sector Many Sectors and Intermediate Inputssupporting
confidence: 93%
See 1 more Smart Citation
“…On average, the GFT rise from 8.8% to 11.6%, which represents an increase in GFT of roughly 33%. This result is consistent with previous findings in the literature (French, 2016;Levchenko & Zhang, 2014) and indicates that specialisation across sectors is an important source of GFT for many countries.…”
Section: Gft With One Sector Many Sectors and Intermediate Inputssupporting
confidence: 93%
“…ALEXANDER that these gains are significant (Caliendo & Parro, 2015;French, 2016;Levchenko & Zhang, 2014;Ossa, 2015). I find that, according to my model, across-sector specialisation is more important than across-stage specialisation in determining the GFT based on the data.…”
mentioning
confidence: 67%
“…These panel exercises are closest in spirit to the industrial specialization work of Harrigan (1997b) and the structural Ricardian model of . Other tests of the Ricardian model are MacDougall (1951MacDougall ( , 1952, Stern (1962), Golub and Hsieh (2000), Morrow (2010), Chor (2010), Shikher (2010), Fieler (2011), , Caliendo and Parro (2012), Bombardini et al (2012), and Levchenko and Zhang (2012). The comparative advantages of this work are in its substantial attention to non-OECD economies, the stricter panel assessment using heterogeneous technology di¤usion, and the instruments built o¤ of di¤erential access to the US frontier.…”
Section: Introductionmentioning
confidence: 99%
“…First, to control for the presence of resource rich countries, we use data from the World Bank to construct variables equal to 1 if average rents from oil, coal, and mineral exceed 10 percent of GDP for the 2000-2018 period. Second, we follow Levchenko and Zhang (2014) and construct variables for capital stock per worker based on data from the Penn World Tables 9.1. In addition, we also include exporters' and importers' GDP per capita from the WDI to account for countries' level of development, which can affect the composition and quality of imports and exports.…”
mentioning
confidence: 99%