Data for: Export sophistication and economic catching up, new evidence using TiVA database

Published: 06-11-2020| Version 3 | DOI: 10.17632/w6w7d78cvx.3
Walid Abdmoulah


The data allow to investigate the relationship between export sophistication and income catching up for 64 countries over 2005-2015 period, based on Hausmann, Hwang and Rodrik (2007). PRODY and EXPY measures are computed using domestic value-added exports available from TiVA dataset instead of gross exports. TiVA dataset covers 35 sectors including 21 manufacturing and 14 services sectors, which allows to measure the impact of goods and services on income, alike. Other variables are gathered from different datasets. A dynamic panel GMM approach is followed. Income ratio defined as lnGDPpc/lnEXPY is employed as the dependent variable. Explaining variables include economic structure, growth rate, productivity growth rate, technological content of exports, and TiVA new variables including 7backward and forward linkages variables. Strong evidence of the positive impact of productivity and manufacturing sector on income catching up is found. TiVA new variables give new insights with regards to countries GVCs participation gains. Thus, backward linkages is found to be income enhancing, while forward linkages results are mixed, depending on the end use of the exported domestic value-added.