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

By Fulvio Castellacci and Jose Miguel Natera

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.

Topics: P5 - Comparative Economic Systems, F0 - General, C33 - Models with Panel Data; Longitudinal Data; Spatial Time Series, I32 - Measurement and Analysis of Poverty, O11 - Macroeconomic Analyses of Economic Development, F5 - International Relations and International Political Economy, O20 - General, C8 - Data Collection and Data Estimation Methodology; Computer Programs, O4 - Economic Growth and Aggregate Productivity, O3 - Technological Change; Research and Development; Intellectual Property Rights
Year: 2011
DOI identifier: 10.1080/2157930x.2011.605871
OAI identifier: oai:mpra.ub.uni-muenchen.de:28376

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