Ray, Jayant and Rivera-Batiz, Francisco L. (2002): An Analysis of Sample Selection Bias in Cross-Country Growth Regressions. Published in:
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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.
Item Type: | MPRA Paper |
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Original Title: | An Analysis of Sample Selection Bias in Cross-Country Growth Regressions |
Language: | English |
Keywords: | economic growth, sample selection bias, development economics |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence |
Item ID: | 114753 |
Depositing User: | Francisco L. Rivera-Batiz |
Date Deposited: | 27 Sep 2022 20:34 |
Last Modified: | 27 Sep 2022 20:34 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/114753 |