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 countryyear observations). The empirical analysis shows the reliability of the dataset and its usefulness for crosscountry analyses of national systems, growth and development. The new dataset is publicly available.
|Date of creation:||2011|
|Date of revision:|
|Note:||The paper was presented at the Globelics Conference in Kuala Lumpur, Malaysia, November 2010, at the the EMAEE Conference in Pisa, Italy, February 2011, and at the DIME Final Conference in Maastricht, the Netherlands, April 2011. A shorter version of this paper is published in the journal Innovation and Development (2011). We wish to thank conference participants and three referees of this journal for the helpful comments and suggestions. The usual disclaimers apply.|
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