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The deadline for the submission of this project is the Friday 19th of March 2010.This project accounts for 50% of your grade on Quantitative Methods. The remaining 50% is accounted for by the examination. You must submit a complete project for assessment.

Project Presentation Guidelines:

1. Your project should be word-processed, well-organised and bound or stapled.Your answer (project work) should be concise and focussed.
2. Relevant econometric results must be typed and reported in Tables. Eviews output should be saved in a CD. DONOT APPEND EVIEWS OUTPUT to the hardcopy of your代写留学生作业 project. The project must not be made bulky by appending the Eviews
output.
3. The maximum word limit is 1500 words, excluding the Tables. The hard copy of the project (including Tables, Text and References) MUST NOT EXCEED 13 pages in total. Excessive length will be penalized.
4. A CD containing an electronic version of your exact project report (MS Word document) and Eviews results (output) should also be submitted. It should clearly be labelled by your name and student number, for exampl, “Sarah_Smith.doc,
Student No: 0123456”.

Plagiarism warning

If plagiarism is suspected, your project will receive close scrutiny. Electronic versions of your work will also be examined. All projects found to contain identical text will receive a mark of zero.

NOTE:

The total mark for this project is 100%. The mark for each question is clearly shown.It is important that you answer all the questions given below. Your work must be clearly presented and concisely explained. This should include, where appropriate, explanation
and interpretation of the following:
• Methods and models employed,
• Formulation of the null and alternative hypotheses,
• Hypothesis tests,
• Inference drawn, and
• Explanation of economic intuition of the relationship(s) estimated.
Data file:
Data set for this project is provided in an Eviews file “project-2010.wf1”. Download this
data. This file contains data on:
gdp = real GDP (Output) of a country, say a Sample Country.
ks = real physical capital stock
emp = labour force employed
br = stock of Domestic knowledge (R&D) (i.e., total stock of domestic technology)
sf = stock of foreign knowledge (i.e., total knowledge stock of Sample country’s trading partners)
All variables are in natural logarithms. Data sample is 1960 to 2008. Data frequency is annual.
Question 1. Tabulate descriptive statistics (mean, median, maximum, minimum and standard deviation) of the dataset and describe them. Plot all five series and comment on their time pofile. (Marks 5).
Question 2. Estimate the following production function by OLS Estimator:

(1).
Where q = gdp and rest of the variables are also as defined above. Also compute (i) the
second and the third order Breusch-Godfrey LM tests of residual serial correlation, (ii)Breush-Pagan test of hetroscedasticity, (iii) White’s test of heteroscedasticity and (iv) RESET test of functional form. Comment on the overall (OLS) results of above production function as well as the diagnostic tests computed in (i) – (iv). Marks (15).
Question 3. Does the model (1) suffer from代写留学生作业 residual serial correlation and
heteroscedasticity? If so, first address the problem of auto-correlation by estimatin本论文由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。