Introductory Econometrics ECOM 20001计算机经济学导论
Assignment 2 essay
This assignment is worth 10% of the overall subject mark. 这份essay占整个科目分数的10%的。 It is to be submitted electronically using the Faculty Assignment Tool. essay用学院essay工具以电子方式提交。 This is an individual project each person is expected to do th eir own assignment. 这是一个个人项目,每个人都应该完成自己的essay。 It is due at 4pm on Wednesday 24th October. Make sure to use the table below to record your name and student id, your tutor’s name and tutorial time/loca tion. Question 1 is worth 15 marks, and question 2 is worth 15 for a total of 30 ma rks and these will be allocated for 10% of your final mark.
Limit your total response to no more than 10 A4 pages. 提交的essay限制在10页A4纸以内。You may cut and paste the Eviews output in your file. 你可以将Eviews输出剪切和粘贴在你的文件里。 The equations can be done using the equation editor in Word.
Make sure to copy the table shown below at the beginning of your answers.
Question 1 问题一(15 marks)
The data file wage04.wf1 contains data for 4,500 full-time workers, defined as workers employed more than 35 hours per week for at least 48 weeks in the previous year. 数据文件wage04.wf1包含4,500名全职工人的数据。全职工人的定义是在过去一年中至少48周每周工作超过35小时的。Specific variables include: 具体的变量包括:
Female: 1 if female; 0 if male
Age: Age of the worker
Log(AHE): Log of Average Hourly Earnings
Bachelor : 1 if worker has a bachelor’s de gree; 0 if worker has a high school degree
(i)Use this data to estimate the regression and report the results: 使用这些数据来估计回归,并报告结果:
What does the coefficient on the inte raction term measure? (2 marks)
(ii)Alexis is a 30 year old female w ith a bachelor’s degree. Alexis是一个拥有学士学位的30岁妇女。 Using the results obtained in (i) what does the regression predict for her value of Log(AHE)? 利用(i)所得到的结果,她的Log(AHE)回归预测值是多少?Jane is a 30 year old female with a high school degree. Using the results obtained in (i) what does the regression predict for her value of Log(AHE)? What is the difference in the Log of Average Hourly Earnings between Jane and Alexis? How much would this difference be if Jane was in fact Jack (ie a male)? (4 marks)
(iii)Is the effect of Age on earnings di fferent for male than for female? Specify and estimate a regression that you can use to answer this question. Report your results. (2 marks) (iv) Which specification do you prefer - th e specification estimat ed in (i) or the specification estimated in (iii)? Ju stify your answer. (3 marks)#p#分页标题#e#
(v)Alexis is a 30 year old female with a bachelor’s degree. Using the results obtained in (iii) what does the regression predict for her value of Log(AHE)? Jane is a 30 year old female with a high school degree. Using the results obtained in (iii) what does the regression predict for her value of Log(AHE)? What is the difference in the Log of Average Hourly Earnings between Jane and Alexis? How much would this difference be if Jane was in fact Jack (ie a male)? (4 marks)
Question 2 问题二 (15 marks)
During the 1960s it was thought that aid would supplement domestic savings in less developed countries allowing for hi gher investment and thus higher growth. 在20世纪60年代,人们认为援助通过允许较高投资,和较大幅度增长可以补充欠发达的国家的国内储蓄。 However, an author argued that aid would displace at least some domestic saving, casting doubt on this belief. That is, the rise in investment resulting from higher aid would be rather less than the one-to-one increment assumed in the optimistic 1960s growth models. That is, if
where Cons is consumption, Y is income, A is aid and e is an error term. Then given http://ukthesis.org/jjxzy/ savings, S = Y - Cons it follows,
(i)The data file aidsav.wf1 contains data on S, Y and A for 66 countries for 1987. Use this data to estimate the relationship defined in equation (1) and present your results. 使用此数据,来估计方程(1)中定义的关系,并介绍你的结果。Test for the presence of heteroskedasticity. Note in your answer you will need to perform a hypothesis test clearly stating the null and alternative hypotheses. Given the results of this test what do you conclude about your estimation results? (5 marks)
(ii)To solve the problem in (i) you are told there is a strong possibility that and to account for this in your estimation will require transforming equation (1). Suppose you transform equation (1) by ignoring the intercept term in equation (1) and then dividing by Y which suggests the model given in equation (2), Estimate the model in (2) and report your results. (2 marks)
(iii)You realize you have in correctly transformed equation (1). 你感觉你已经正确地转换了方程(1)。Derive the equation you should have estimated. What is the difference between the equation you now derive and the one estimated in (ii)? What then can you conclude about the estimate of using the model in (ii)? (4 marks)
(iv)If you are also told that, do you think the estimate of should be larger or smaller than the result presen ted in (ii). You will need to justify your answer. (3 marks)#p#分页标题#e#
(v) Estimate the model using the correct tr ansformation you derived in (iii).使用在(iii)中得出正确的转换方程估计模型。Does the estimate of agree with what you concluded in (iv) above? (1 mark)
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