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Full-Text Articles in Social and Behavioral Sciences
Modes, Weighted Modes, And Calibrated Modes: Evidence Of Clustering Using Modality Tests, Daniel Henderson, Christopher Parmeter, R. Russell
Modes, Weighted Modes, And Calibrated Modes: Evidence Of Clustering Using Modality Tests, Daniel Henderson, Christopher Parmeter, R. Russell
Christopher F. Parmeter
We apply recent results from the statistics literature to test for multimodality of worldwide distributions of several (unweighted and population-weighted) measures of labor productivity. Specifically, we employ Silverman (Bump) and Dip modality tests, calibrated to correct for their incorrect asymptotic levels. We show that test results are sensitive to the test statistic employed and to population weighting. But regardless of the statistical criterion used, multimodality is present throughout, or emerges during, our sample period (1960–2000). We also examine (a) movements of economies between modal clusters and (b) relationships between certain key development factors and multimodality of the productivity distribution.
The Effect Of Measurement Error On The Shape Of The World Distribution Of Income, Christopher Parmeter
The Effect Of Measurement Error On The Shape Of The World Distribution Of Income, Christopher Parmeter
Christopher F. Parmeter
This note examines the robustness that two modes exist in the world's density of per capita income. Our results suggest that this bimodal feature is robust and are arrived at using recently developed nonparametric deconvolution techniques.