José Miguel Natera

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 article 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 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.

Innovation surveys in Latin America: a primer

Innovation Surveys in Latin American started more than ten years ago. As of today, 15 Latin American countries have carried out a total of 46 innovation surveys, and Latin America does now stand out as the region with the most active innovation survey data production within the developing world. This short article provides a primer to innovation surveys in Latin America, listing the available data, some key institutional and scholarly references available on the web, and briefly pointing to some methodological issues and challenges for future improvements.

The dynamics of national innovation systems: an empirical approach to economic growth and development

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