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Cross-country growth comparison : theory to empirics

Author

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  • Quah, Danny

Abstract

This paper reviews the cross-country record of economic growth, using as organizing framework how economic theory has guided that empirical analysis. The paper argues that recent studies of economic growth—both empirical and theoretical—distinguish from previous work in three distinct ways:1. An explicit focus on cross-country growth and development experiences; 2. Improved, more extensive cross-country data; 3. A heightened need, driven by real-world topicality, for understanding the role of knowledge and technology in economic growth.

Suggested Citation

  • Quah, Danny, 2000. "Cross-country growth comparison : theory to empirics," LSE Research Online Documents on Economics 2251, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:2251
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    File URL: http://eprints.lse.ac.uk/2251/
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    Citations

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    Cited by:

    1. Peroni, Marco & Brasili, Cristina & Fanfani, Roberto, 2006. "Long Term Structural Changes in the EU Countries (1970-2000): Convergence or Divergence in the Agri-Food System?," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25659, International Association of Agricultural Economists.
    2. Paolo Liberati, 2015. "The World Distribution of Income And Its Inequality, 1970–2009," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 248-273, June.
    3. N. Gobbin & G. Rayp, 2004. "Inequality and Growth: Does Time Change Anything?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/230, Ghent University, Faculty of Economics and Business Administration.
    4. Warwick J. McKibbin & David Pearce & Alison Stagman, 2004. "Long Run Projections for Climate Change Scenarios," Economics and Environment Network Working Papers 0405, Australian National University, Economics and Environment Network.
    5. Brasili, Cristina & Fanfani, Roberto, 2002. "Long Term Structural Changes in the EU Countries (1970-2000): Convergence or Divergence in the Agri-Food System?," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24962, European Association of Agricultural Economists.
    6. Quah, Danny, 2002. "Technology dissemination and economic growth: some lessons for the new economy," LSE Research Online Documents on Economics 2118, London School of Economics and Political Science, LSE Library.
    7. Danny Quah, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEP Discussion Papers dp0522, Centre for Economic Performance, LSE.
    8. Patricio Aroca & Dong Guo & Geoffrey J. D. Hewings, 2006. "Spatial Convergence in China: 1952-99," WIDER Working Paper Series RP2006-89, World Institute for Development Economic Research (UNU-WIDER).
    9. Somlanaré Romuald Kinda, 2011. "Education, Convergence and Carbon Dioxide Growth per Capita," Post-Print halshs-00684315, HAL.
    10. Ding, Sai & Knight, John, 2009. "Can the augmented Solow model explain China's remarkable economic growth? A cross-country panel data analysis," Journal of Comparative Economics, Elsevier, vol. 37(3), pages 432-452, September.

    More about this item

    Keywords

    convergence; cross-section regression; distribution dynamics; endogenous growth; knowledge; neoclassical growth; technology; twin peaks; panel data;
    All these keywords.

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D30 - Microeconomics - - Distribution - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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