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

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  • Castellacci, Fulvio
  • Natera, Jose Miguel

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.

Suggested Citation

  • Castellacci, Fulvio & Natera, Jose Miguel, 2011. "A new panel dataset for cross-country analyses of national systems, growth and development (CANA)," MPRA Paper 28376, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:28376
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    References listed on IDEAS

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    More about this item

    Keywords

    Missing data; multiple imputation methods; national systems of innovation; social capabilities; economic growth and development; composite indicators.;
    All these keywords.

    JEL classification:

    • P5 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems
    • F0 - International Economics - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • F5 - International Economics - - International Relations, National Security, and International Political Economy
    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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