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| Titel: |
Using non-parametrics to inform parametric tests of Kuznets' hypothesis |
| Auteur: |
Mushinski, David W. |
| Verschenen in: |
Applied economics letters |
| Paginering: | Jaargang 8 (2001) nr. 2 pagina's 77-79 |
| Jaar: |
2001-02-01 |
| Inhoud: |
Simon Kuznets hypothesized that inequality in a country's distribution of income worsens in the early stages of its economic development and that the inequality improves as the country reaches higher stages of development (the 'inverted U hypothesis'). Empirical support for the inverted U hypothesis has been mixed. In testing Kuznets' hypothesis, analysts have specified a variety of parametric forms for the relationship between inequality and development, including a quadratic form (a second-degree polynomial). Using data on income distributions on Native American reservations in the USA, the present analysis indicates that non-parametric estimates of the relationship can inform a parametric analysis. Specifically, while a regression with a second-degree polynomial finds mixed support for the hypothesis, the non-parametric analysis suggests the presence of such an inverse relationship. Indeed, the non-parametric form suggests that a polynomial of greater degree might better capture the relationship between economic development and income inequality. Hypothesis testing supports estimating a fourth-degree polynomial rather than a second-degree polynomial. All terms in the fourth-degree polynomial are statistically significant and the estimated coefficients support the Kuznets hypothesis. These regression results counsel caution in testing the inverted U hypothesis by estimating only parametric forms which produce strictly concave functions. |
| Uitgever: |
Routledge |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 188 van 190 gevonden artikelen
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