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An Analysis of Sample Selection Bias in Cross-Country Growth Regressions

Author

Listed:
  • Ray, Jayant
  • Rivera-Batiz, Francisco L.

Abstract

Sample sizes in cross-country growth regressions vary greatly, depending on data availability. But if the selected samples are not representative of the underlying population of nations in the world, ordinary least squares coefficients (OLS) may be biased. This paper re-examines the determinants of economic growth in cross-sectional samples of countries utilizing econometric techniques that take into account the selective nature of the samples.

Suggested Citation

  • Ray, Jayant & Rivera-Batiz, Francisco L., 2002. "An Analysis of Sample Selection Bias in Cross-Country Growth Regressions," MPRA Paper 114753, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:114753
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    References listed on IDEAS

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    More about this item

    Keywords

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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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