英语论文网

留学生硕士论文 英国论文 日语论文 澳洲论文 Turnitin剽窃检测 英语论文发表 留学中国 欧美文学特区 论文寄售中心 论文翻译中心

Bussiness ManagementMBAstrategyHuman ResourceMarketingHospitalityE-commerceInternational Tradingproject managementmedia managementLogisticsFinanceAccountingadvertisingLawBusiness LawEducationEconomicsBusiness Reportbusiness planresearch proposal

英语论文题目英语教学英语论文商务英语英语论文格式商务英语翻译广告英语商务英语商务英语教学英语翻译论文英美文学英语语言学文化交流中西方文化差异英语论文范文英语论文开题报告初中英语教学英语论文文献综述英语论文参考文献

ResumeRecommendation LetterMotivation LetterPSapplication letterMBA essayBusiness Letteradmission letter Offer letter

澳大利亚论文英国论文加拿大论文芬兰论文瑞典论文澳洲论文新西兰论文法国论文香港论文挪威论文美国论文泰国论文马来西亚论文台湾论文新加坡论文荷兰论文南非论文西班牙论文爱尔兰论文

小学英语教学初中英语教学英语语法高中英语教学大学英语教学听力口语英语阅读英语词汇学英语素质教育英语教育毕业英语教学法

英语论文开题报告英语毕业论文写作指导英语论文写作笔记handbook英语论文提纲英语论文参考文献英语论文文献综述Research Proposal代写留学论文代写留学作业代写Essay论文英语摘要英语论文任务书英语论文格式专业名词turnitin抄袭检查

temcet听力雅思考试托福考试GMATGRE职称英语理工卫生职称英语综合职称英语职称英语

经贸英语论文题目旅游英语论文题目大学英语论文题目中学英语论文题目小学英语论文题目英语文学论文题目英语教学论文题目英语语言学论文题目委婉语论文题目商务英语论文题目最新英语论文题目英语翻译论文题目英语跨文化论文题目

日本文学日本语言学商务日语日本历史日本经济怎样写日语论文日语论文写作格式日语教学日本社会文化日语开题报告日语论文选题

职称英语理工完形填空历年试题模拟试题补全短文概括大意词汇指导阅读理解例题习题卫生职称英语词汇指导完形填空概括大意历年试题阅读理解补全短文模拟试题例题习题综合职称英语完形填空历年试题模拟试题例题习题词汇指导阅读理解补全短文概括大意

商务英语翻译论文广告英语商务英语商务英语教学

无忧论文网

联系方式

MAF 356 ASSIGNMENT 1 ANSWERS

论文作者:留学生论文论文属性:短文 essay登出时间:2010-05-25编辑:steelbeezxp点击率:2653

论文字数:1200论文编号:org201005252013277688语种:英语论文 English地区:中国价格:免费论文

关键词:ASSIGNMENT

MAF 356 ASSIGNMENT 1 ANSWERS
*Please refer to the attached spreadsheet for all workings.
(a) Use excel to compute the descriptive statistics (mean, maximum, minimum) for the variables: Y, constant, AX, AXSQ,WE, CIT separately for the sample of women who worked in 1975 and the sample who did not work. Briefly describe any important differences between the two samples. Do the differences accord with your a priori expectations?
Answer:
For the sample of women who worked in 1975,

For the sample of women who did not work in 1975,

We can conclude from the descriptive statistics that for those women who did not work in 1975, their previous average/mean actual years of labour market experience seems shorter than those who did work in 1975. Their educational attainment is also slightly lower than those who did work in 1975. And since the dummy variable CIT gives higher for those who did not work in 1975, it seems that women in large cities tend to not work in that year. However, the maximum for years of experience (and its square) are higher although the average is lower for non-working women.
They basically accord with my priori expectations as women who received educational qualifications or work experiences tend to become professionals than those who did not. However it is arguable that whether in large cities or not do women like to work or not.
(b) Regress Y on the constant, AX, AXSQ, WE, CIT variables for the sample of working women. Clearly document your a priori expectations for the signs of each coefficient of the population regression model. Present your sample regression results and interpret fully. Carry out any hypothesis tests you feel appropriate and interpret fully and carefully.

Answer:

Please refer to the above Regression of Y on the constant, AX, AXSQ, WE, CIT variables.
My priori expectation on the result is that all the signs except CIT should be positive for all the variables given the reason explained in (a). For CIT, it is unclear and there should be a clear trend as to whether it is positive or not.
However, the result is:
Y= -0.531 +0.041AX -0.001AXSQ +0.106WE +0.054CIT
i.e. Except for AXSQ, all the other variables have shown positive correlation with Y.
We run the null hypothesis of all the variables Constant, AX, AXSQ, WE and CIT. For those coefficient results except CIT, if we assume that they are zero, at 95% confidence level the t-statistics are all above the absolute value of the number rang (-1.96,1.96), i.e. we reject the hypothesis that a coefficient is zero with a 5% level of significance.  In other words, except for the variable CIT, all the other results are statistically significant.
For CIT, the value of T-statistics is within the range of (-1.96,1.96), at 95% confidence level that means we are not going to reject the null hypothesis of the variable is zero and it is statistically insignificant.
The result is generally in line with my expectation that uncertainty lies in the variable CIT and a clear trend of correlation should show in other variables. It is evidenced by the result except for the AXSQ variable, despite its significance.
(c) Looking at the population regression specification do you think there are any particular key variables missing? If yes, explain.
Answer:
Yes, the regression specification listed above may have overlooked some of the key variables which is dee论文英语论文网提供整理,提供论文代写英语论文代写代写论文代写英语论文代写留学生论文代写英文论文留学生论文代写相关核心关键词搜索。

共 1/2 页首页上一页12下一页尾页

英国英国 澳大利亚澳大利亚 美国美国 加拿大加拿大 新西兰新西兰 新加坡新加坡 香港香港 日本日本 韩国韩国 法国法国 德国德国 爱尔兰爱尔兰 瑞士瑞士 荷兰荷兰 俄罗斯俄罗斯 西班牙西班牙 马来西亚马来西亚 南非南非

   Europe (24-hours)
   EN:13917206902
   china (24-hours)
   CN:13917206902
在线客服团队
    全天候24小时在线客服
      QQ:949925041 
  

微信公众订阅号