Women Workplace Discrimination

It seems as If he has been perma-banned and will not be able to respond to the final round. Nonetheless, I will summarize my final statements and respond to his arguments he previously made in the last Round. PRO has violated our terms of the debate. In the comments sections, we agreed on only using 2 charts per round, but has used 3 charts in this round. Me: how many graphs do you want per debate round? I'm fine with graphs so long as a quantifiable number is used for graphs per round. Malcomxy: “I'll limit myself to no more than 2, and try to keep it to 1 per round”. Dropped Arguments: He has dropped many of my arguments. He dropped the argument that there were 21 differences between men and women that explained the income gap. I also provided studies that after for controlling for career path, education, time spent off work, and number of hours worked the income gap vanished. PRO drops this. I have shown that there are fields in which women make more money than men, which PRO drops. I have shown that controlling for never married or had children, education, age and hours worked earned men actually get paid only 85% of what women earn. I have shown that there are are also cities that exist where the female-male pay ratio is higher for females. I have shown that men and women have different attitudes towards pay, in which men prioritize money on average and women prioritize flexibility, fulfillment, autonomy and safety. Since there are tradeoffs between the two, this accounts for part of the gap. I have shown that when comparing male and female self-employed workers, men make twice more money than females. This cannot be due to discrimination since they are not working under a boss for their own pay. Extend my previous rebuttals against PRO. Now to respond to his arguments in Round 3. 1. Walmart Case Pro’s excuse for Walmart losing the case is that it is “ridiculous burden of proof” of proving discrimination. However, this is incorrect; Walmart lost the case because there was no discrimination at the national level. I have shown. Pro’s source does not take into consideration if the hours worked were at a desirable time, education or even the subfield that people worked. Pro’s source shows that for broad fields like department head, and sales associate, men and women make substantially different amount. However, comparing cashiers the difference is only 3 cents in wage. Pro’s source shows 46 different departments and does not take into consideration that some departments require higher skill levels than others. For example, more men worked in the automotive section, which requires more skill then working in the hosiery section. Furthermore, looking at Pro’s own source, one sees that men work longer hours than women do, which explains the difference. While it does not directly show it, it shows the salary of hourly workers, and the wage per hour they worked. Using basic math (salary/wage per hour) one sees the difference between the hours worked. Men(hours worked) Women(hours worked) Department head 2113.028 2044.162 Sales Associate 1893.013 1821.886 HD/HM 2000.105 1923.574 Cashier 1743.697 1718.137 All hourly 1948.586 1885.421 Men work longer hours in all cases. As my previously source showed in round one, that small changes in hours worked has a large effect on salary. The difference between working 35 hours a week compared to 45 hours a week is double the salary. As stated previously, Walmart’s hiring policy favors women over men. CON’s own source indicates that women make up a larger portion of their workforce, despite women making up less of the total workforce. Furthermore, there’s the assumption that women would want to obtain a promotion. Due to the added stress, hours worked, and relocation there’s a strong probability that women did not want to get a promotion since women on average do not value money as much as men, and thus would not take the negative tradeoff associated with the promotion. 2. Industry Pay Pro shows that in every industry, women make more than men. However, every field has many different careers that one can go into. Let’s take for example, healthcare. There are more men that work as doctors, rather than nurses so one would expect that men would make more in the healthcare industry. Yet, despite the wide difference in average pay between doctors and nurses, they are both considered part of the healthcare industry. Thus, one could not make reasonable predictions of someone’s pay based on the industry one goes into. Rather, a better predication would be the job one has, experience, and his or her education. As previously stated, when controlling for career path, and other factors, much of these discrepancies go away. Furthermore, I have provided examples in which women were paid more than men in some jobs. Conclusion: I have demonstrated that the pay-gap, when controlling for other factors go away. Pro’s examples do not control for these factors which might make it seem as if there is a pay-gap, but in reality there is not.