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