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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.

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Paper provided by Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales in its series Working Papers del Instituto Complutense de Estudios Internacionales with number 05-11.

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Length: 51 pages
Date of creation: 2011
Date of revision:
Handle: RePEc:ucm:wpaper:05-11
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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  1. Fulvio Castellacci, 2004. "A neo-Schumpeterian Approach to Why Growth Rates Differ," Revue économique, Presses de Sciences-Po, vol. 55(6), pages 1145-1169.
  2. 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.
  3. 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.
  4. 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.
  5. Castellacci, Fulvio, 2008. "Technology clubs, technology gaps and growth trajectories," MPRA Paper 27595, University Library of Munich, Germany.
  6. Fagerberg, Jan & Srholec, Martin, 2008. "National innovation systems, capabilities and economic development," Research Policy, Elsevier, vol. 37(9), pages 1417-1435, October.
  7. 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.
  8. Fagerberg, Jan, 1994. "Technology and International Differences in Growth Rates," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1147-75, September.
  9. Castellacci, Fulvio & Archibugi, Daniele, 2008. "The technology clubs: The distribution of knowledge across nations," Research Policy, Elsevier, vol. 37(10), pages 1659-1673, December.
  10. Fulvio Castellacci, 2011. "Closing the Technology Gap?," Review of Development Economics, Wiley Blackwell, vol. 15(1), pages 180-197, 02.
  11. 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.
  12. James Honaker & Gary King & Matthew Blackwell, . "Amelia II: A Program for Missing Data," Journal of Statistical Software, American Statistical Association, vol. 45(i07).
  13. 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).
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