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

  • Castellacci, Fulvio
  • Natera, Jose Miguel

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.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 28376.

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Date of creation: Jan 2011
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Handle: RePEc:pra:mprapa:28376
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  1. Castellacci, Fulvio, 2008. "The technology clubs: the distribution of knowledge across nations," MPRA Paper 27597, University Library of Munich, Germany.
  2. Daniele Archibugi & Alberto Coco, 2004. "A New Indicator of Technological Capabilities for Developed and Developing Countries (ArCo)," CEIS Research Paper 44, Tor Vergata University, CEIS.
  3. Fagerberg, Jan & Srholec, Martin & Knell, Mark, 2007. "The Competitiveness of Nations: Why Some Countries Prosper While Others Fall Behind," World Development, Elsevier, vol. 35(10), pages 1595-1620, October.
  4. M. Desai, S. Fukuda-Parr, C. Johansson, and F. Sagasti, 2002. "Measuring Technology Achievement of Nations and the Capacity to Participate in the Network Age," Human Development Occasional Papers (1992-2007) HDOCPA-2002-22, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
  5. Jan Fagerberg & Martin Srholec, 2007. "National innovation systems, capabilities and economic development," Working Papers on Innovation Studies 20071024, Centre for Technology, Innovation and Culture, University of Oslo.
  6. Fagerberg, Jan & Verspagen, Bart, 2002. "Technology-gaps, innovation-diffusion and transformation: an evolutionary interpretation," Research Policy, Elsevier, vol. 31(8-9), pages 1291-1304, December.
  7. Castellacci, Fulvio, 2008. "Technology clubs, technology gaps and growth trajectories," MPRA Paper 27595, University Library of Munich, Germany.
  8. James Honaker & Gary King & Matthew Blackwell, . "Amelia II: A Program for Missing Data," Journal of Statistical Software, American Statistical Association, vol. 45(i07).
  9. Fagerberg, Jan, 1994. "Technology and International Differences in Growth Rates," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1147-75, September.
  10. Horton, Nicholas J. & Kleinman, Ken P., 2007. "Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models," The American Statistician, American Statistical Association, vol. 61, pages 79-90, February.
  11. Fulvio Castellacci, 2004. "A neo-Schumpeterian Approach to Why Growth Rates Differ," Revue économique, Presses de Sciences-Po, vol. 55(6), pages 1145-1169.
  12. Castellacci, Fulvio, 2010. "Closing the technology gap?," MPRA Paper 27586, University Library of Munich, Germany.
  13. Meghnad Desai & Sakiko Fukuda-Parr & Claes Johansson & Fransisco Sagasti, 2002. "Measuring the Technology Achievement of Nations and the Capacity to Participate in the Network Age," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 3(1), pages 95-122.
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