A new panel dataset for cross-country analyses of national systems, growth and development (CANA)
Missing data represent an important limitation for cross-country analyses of national systems, growth and development. This paper presents a new cross-country panel dataset with no missing value. We make use of a new method of multiple imputation that has recently been developed by Honaker and King (2010) to deal specifically with time-series cross-section data at the country-level. We apply this method to construct a large dataset containing a great number of indicators measuring six key country-specific dimensions: innovation and technological capabilities, education system and human capital, infrastructures, economic competitiveness, political-institutional factors, and social capital. The CANA panel dataset thus obtained provides a rich and complete set of 41 indicators for 134 countries in the period 1980-2008 (for a total of 3886 country-year observations). The empirical analysis shows the reliability of the dataset and its usefulness for cross-country analyses of national systems, growth and development. The new dataset is publicly available.
Defence Firms Facing Liberalization - Innovation and Export in an Agent-based Model of the Defence Industry
India and globalisation: Regional disparities, industrial development and inclusive growth (INGRID)
Prosjektet skal bidra til økt samarbeid mellom forskere i Norge og India og fokuserer på de sosial konsekvensene av globalisering....
CANA
A new panel dataset for cross-country analyses of national systems, growth and development (CANA)...
Services and Development : The Scope for Special and differential Treatment in the GATS / Arne Melchior with contributions by Christopher Stevens a...