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.
India and globalisation: Regional disparities, industrial development and inclusive growth (INGRID)
This project aim to develop cooperation between Indian and Norwegian researchers related to the social impact of globalisation and related international policies. ...
Slums, states and citizens: Policing, welfare services and political participation among the urban poor in New Delhi, Nairobi and Durban
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