Is schooling the same as learning? – The impact of the learning-adjusted years of schooling on growth in a dynamic panel data framework

2022 ◽  
Vol 151 ◽  
pp. 105773
Author(s):  
Linda Glawe ◽  
Helmut Wagner
2020 ◽  
Vol 7 (12) ◽  
pp. 593-604
Author(s):  
Rah Adi Fahmi GINANJAR ◽  
Vadilla Mutia ZAHARA ◽  
Stannia Cahaya SUCI ◽  
Indra SUHENDRA

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.


Author(s):  
Luciane Franke ◽  
Marcos Tadeu Caputi Lélis ◽  
Alexsandro Marian Carvalho ◽  
José Roberto Iglesias

2020 ◽  
Vol 10 (6) ◽  
pp. 235-241
Author(s):  
Irza Hanie Abu Samah ◽  
Intan Maizura Abd Rashid ◽  
Wan Ahmad Fauzi Wan Husain ◽  
Suraiya Ibrahim ◽  
Hariri Hamzah ◽  
...  

2009 ◽  
Vol 54 (03) ◽  
pp. 379-398 ◽  
Author(s):  
SUPRIYO DE

Intangible assets like human capital and organization capital have driven the success of India's software industry. This article analyzes the impact of intangible assets on the market value of Indian software firms using a dynamic panel data model. Measures of tangible and intangible assets are constructed using firm-level panel data. The estimation technique uses system generalized method of moments (GMM) and minimum distance estimation (MDE). This methodology accounts for unobserved firm heterogeneity, endogenous explanatory variables and persistent variables. The results conclusively show that intangible assets have a significant impact on market values of Indian software firms.


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