A new panel dataset for cross-country analyses of national systems, growth and development (CANA)

Fulvio Castellacci and José Natera

MPRA Paper from University Library of Munich, Germany

Abstract: 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.

Keywords: Missing data; multiple imputation methods; national systems of innovation; social capabilities; economic growth and development; composite indicators. (search for similar items in EconPapers)
JEL-codes: C33 C8 F0 F5 I32 O11 O20 O3 O4 P5 (search for similar items in EconPapers)
Date: 2011-01
New Economics Papers: this item is included in nep-dev and nep-fdg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (43)

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