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In this paper we study the relationship between taxation and growth for the European Union in 2004-2016 through a quantile regression approach to detect different patterns along the distribution.
where [p.sub.fail] is the expected chance of failing a quantile test and n is the number of variables.
Between 2009 and 2017 the gap ranged from 13.8% among the lowest earners (that is, at the 10th quantile) compared to 58.6% among the highest earners (90th quantile), resulting in the irony that the more successful the woman, the greater the pay gap between her and her male counterpart.
A particularly lengthy paper assesses the relationship between board gender diversity and firm performance using quantile regression analysis.
(2015) proposed the use of quantile regression (KOENKER & BASSET, 1978) for adaptability and stability studies considering 92 genotypes of alfalfa (Medicago sativa L.) assessed in 20 different environmental conditions.
This study seeks to fill this gap by conducting a comparative analysis of weekly earnings of people with IDD across different quantile levels of the outcome.
We also use quantile regressions, focusing in particular on whether provider choice policies matter more in the upper tails of the distributions (at the 90th, 95th, and 99th percentiles) where treatment might be more extensive, costs might be high because of responses to incentives under different provider choice policies, etc.
Microarrays were adjusted for dye and array effect (Quantile normalization and array centering), duplicated spot intensities were not averaged and were subsequently used for statistic alanalysis.
Overall, he used System GMM, Dynamic Panel Quantile Regression and Stochastic Frontier Analysis to explore regulations and efficiency of 319 commercial banks from 21 transition economies for the period of 2002-2014.
Savannah Hobbs, M.Ed., from Colorado State University in Fort Collins, and Christian King, Ph.D., from the University of Central Florida in Orlando, conducted a secondary analysis of the Fragile Families and Child Wellbeing Study dataset in order to examine the associations of food insecurity with children's cognitive and behavioral outcomes using quantile regression.
where [G.sup.-1](u) is the baseline quantile function.
For the first time, we use the quantile vector autoregressive model (QVAR) method to analyze the asymmetrical mutual influence between investor sentiment and the basis.
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