CANA
A new panel dataset for cross-country analyses of national systems, growth and development (CANA)Deltakere Jose Miguel Natera
Missing data represent an important limitation for cross-country analyses of national systems, growth and development. This project presents a new cross-country panel dataset with no missing value. We make use of a new method of multiple imputation and 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 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.
The Working Paper presenting and describing the CANA database can be downloaded here.
Please contact the authors for any question, or suggestion for future improvements.
Finansiering
- Castellacci, Fulvio , Jose Miguel Natera (2012). Innovation, Absorptive Capacity and Complexity along Development Stages. NUPI-notat: 799. 63 sider. The paper presents an empirical analysis of the time series properties of Schumpeterian multiple equilibria models.
- Castellacci, Fulvio , Jose Miguel Natera (2011). The Dynamics of National Innovation Systems: A Panel Cointegration Analysis of the Coevolution between Innovative Capability and Absorptive Capacity. NUPI-notat: 791. 43 sider. This paper puts forward the idea that the dynamics of national innovation systems is driven by the coevolution of two main dimensions: innovative capability and absorptive capacity.
- Castellacci, Fulvio , Jose Miguel Natera (2011). A new panel dataset for cross-country analyses of national systems, growth and development (CANA). NUPI-notat: 783. 52 sider. 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.
