Castellacci, Fulvio and Natera, José Miguel (2011) A new panel dataset for cross-country analyses of national systems, growth and development (CANA). [Working Paper or Technical Report]
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Official URL: http://eprints.ucm.es/12645/
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 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.
| Item Type: | Working Paper or Technical Report |
|---|---|
| Uncontrolled Keywords: | Missing data; Multiple Imputation Methods; National Systems of innovation; Social capabilities; Economic growth and development; Composite indicators. |
| Subjects: | Social sciences > Economics > Econometrics Social sciences > Economics > Economic development Social sciences > Economics > Economic indicators |
| Series Name: | Working Paper |
| Volume: | UNSPECIFIED |
| Number: | 05/11 |
| ID Code: | 12645 |
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| Deposited On: | 05 May 2011 10:44 |
| Last Modified: | 05 May 2011 10:44 |
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