Thursday, January 23, 2020

Essay example --

There are others who researched on the effects of obesity on the labour market and concluded that obesity is seen as an issue of discrimination based on individual’s appearances. Hamermesh and Biddle (1994) researched on the impact of physical appearances to earnings. The purpose of this experiment is to study the labour market favoritism due to more attractive appearances. Looks were measured by using the ratings of the responders by the interviewer on their physical appearance and by using stand-earning equations. Their analysis found that the wages of below average looking workers was less than for wages that are above the average looking workers. They also concluded that women who were obese earned 12% less than an average weight. A study that was used to examine this analysis in the past was the national longitudinal survey of Youth 1979 (NLSY79). This study was a sample of 12,686 young men and women who were from ages of 14 to 22 years old when they were first surveyed in 1979. They surveyed the same people except a few exceptions for the next 14 years until 1998. The purpose of the national longitudinal survey of youth in 1979 was to explore the effect of obesity on the labour market outcomes in the long term. The age distribution in this research will help study the extensive margin and the intensive margins of the labour market due to obesity. The extensive margin that this study examines are the labour market participation choice and occupation choices. The intensive margins can be the change in wages overtime throughout their work and employment changes. The conclusion they reached was that obese women earn about 12% less than normal weight women and no major effect in males earning even when they are obese. In 2004 ... ... research concluded were women overall who’s wages are significantly being affect due to being overweight and obese while this analysis finds that women’s wages are not directly due to excess weight. Another interesting result was that overweight and obese variables with different industries and occupations. This analysis showed how excess weight had negative effect on a women’s income, but only in the sales and entertainment industry for obese women only. Although it is difficult to this hypothesis but since 60% of the American population is considered overweight at least which does support the analysis we obtained plausible since that majority of the population cannot be discriminated. Even though obesity is a disease and causes many health conditions there seems to be no negative effect on income and this can be due to the improvements in health care overtime.

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