Quantile regression. The Journal of Economic Perspectives
This paper is formulated towards that of regression analysis use in the business world. The article used for this paper was written in order to understand the meaning of regression as a measurement tool and how the tool uses past business data for the purpose of future business economics. The research mentioned in this article pertained to quantile regression, or how percentiles of specific data are used in estimating that of future possibilities in data. The hypothesis to the study of quantile regression showed that regression analysis in the business world may not give a complete picture of how data is distributed, but rather a curve or educated guess. The main findings of the study where used in order to persuade those involved in economic development to continue exploring the means of refining quantile regression so that it can be used as an extensive strategy in completing that of regression in the business world. The gender pay gap in Vietnam, 1993–2002: A quantile regression approach The purpose of the study is to investigate the gender pay gap between men and woman between 1993 and 2002 in Vietnam. The research questions where what is causing the gap and why are men paid significantly more than women. The hypothesis of the study is a “glass ceiling” effect the reason why the women are paid so little. The main findings of the study are women in some instances make more money at being self-employed. There are no specific reasons for the gap but since 2002 it has been closing gradually.
Ordinal Regression Analysis
The purpose of an ordinal regression analysis is to determine the difference and significance of existing ordinal values on a scale that ranges from low to high inclusive of below average, average, and above average. Which Presidential Candidate would be the best person for the United States? Which method of medical treatment is the best cure...