The data allow to investigate the relationship between export sophistication and income catching up for 63 countries over 2005-2015 period, based on Hausmann, Hwang and Rodrik (2007). PRODY and EXPY measures are computed using 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 estimator is employed. Income gap defined as lnEXPY/lnGDPpc 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 6 backward and forward linkages variables. Strong evidence of the positive impact of productivity and manufacturing sector on income catching up is found. Likewise, strong evidence of the positive impact of manufactures, high tech. and ICT goods is found. TiVA new variables give new support to these findings with regards to countries GVCs participation. Thus, backward linkages have the most prominent effect, while forward linkages results are mixed, depending on the end use of the exported domestic value-added.

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.

The data allow to investigate the relationship between export sophistication and economic performance 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, technological content of exports, and TiVA new variables including backward and forward linkages variables. Strong evidence of the positive effect of manufacturing sector on countries’ economic performance is found. Weak evidence has been provided in favor of exports led growth hypothesis when taking conventional exports data into account, with the exception of high tech. and ICT exported goods, which have strong positive and significant effect on income. Relying on TiVA new indicators give new insights into countries GVCs participation gains. Thus, backward linkages seem to have an important role given their positive and significant effect on income, either sourced from commodities or services activities. Forward linkages seem to have mixed effects, depending on the end use of the exported domestic value-added, playing a prominent income role when domestic value-added is reimported, embodied in foreign final demand or when re-exporting intermediate imports as share of intermediate imports, suggesting that countries should not take GVCs’ benefits for granted. Some results and correlations matrix are available.