代写SEM311 Basic Econometrics帮做R程序

DESCRIPTION OF COURSEWORK

Course Code	SEM311
Course Name	Basic Econometrics
Academic Session	2024/09
Assessment Title	Group Assignment

A.  Introduction/ Situation/ Background Information

To complete the training in econometric modelling techniques, the assignment aims at assessing students’ ability to apply the skills and knowledge learned in SEM311. There is only one task to complete in this group assignment. It is to build an econometric model to help predict the variation of United States real (instead of nominal) consumption. Students are required to work in a self- selected group of not more than three (3) to collect macroeconomic data of the US that are relevant to the model that you set. The regression technique is used to build predictions for United States real consumption. The exercise also entails assessing the adequacy of the fitted model. Students are required to submit a report in a stipulated format in accordance with the school’srequirements, together with the computer software code and outputs of the analysis, to demonstrate their ability to carry out the analysis.

B.  Course Learning Outcomes (CLO) covered

At the end of this assessment, students are able to:

CLO 1: Demonstrate ability of actual applications of econometric methods using the real data and economic models

CLO 2: Display an understanding of econometric software and computing skills necessary in empirical work

C.  University Policy on Academic Misconduct

1.   Academic misconduct is a serious offense in Xiamen University Malaysia. It can be defined as any of the following:

i.    Plagiarism  is  submitting  or  presenting  someone  else’s  work,  words,  ideas,  data  or information  as your  own  intentionally  or unintentionally.  This  includes  incorporating published and unpublished material, whether in manuscript, printed or electronic form. into your work without acknowledging the source (the person and the work).

ii.  Collusion is two or more people collaborating on a piece of work (in part or whole) which is intended to be wholly individual and passed it off as own individual work.

iii. Cheating is an act of dishonesty or fraud in order to gain an unfair advantage in an assessment. This includes using or attempting to use, or assisting another to use materials that are prohibited or inappropriate, commissioning work from a third party, falsifying data, or breaching any examination rules.

2.   All the assessment submitted must be the outcome of the  student. Any form of academic misconduct is a serious offense which will be penalized by being given a zero mark for the entire assessment in question or part of the assessment in question. If there is more than one guilty party as in the case of collusion, both you and your collusion partner(s) will be subjected to the same penalty.

D.  Instruction to Students

You are required to submit a report for the given tasks (details are provided in part E). The word

count     shall    be     within     4,000     words      (Include    the     related     information,     e.g.

figure/statistic/diagram/etc., in your discussion as much as possible after it is mentioned in the paragraph instead of inserting it as an appendix).

The report should be submitted in week 11 and late submission will not be entertained. The format

of the report is explained below:

Font and spacing:        Times New Roman, 12pt, Single spacing with page numbered  Referencing:               APA or Harvard Business referencing (choose either one only)

Plagiarism check:       Submit the Turnitin report, and the similarity index must be less than 25%

All the data processing should be conducted using R or Excel, and you should ensure the code is structured in one-click-to-result format, i.e. by just running your code once, from top to bottom, without any extra interruption and modification, I can get all of your results that you used in the reports, directly from the original data set. For those who choose Excel to conduct the regression, please write the Word file step by step and click by click with screenshots and explanations (in words) to show how you got your result. Pay attention that the language shown in the screenshots should be English, and otherlanguages will not be accepted.

ONLY the students who are the group leaders will need to submit on behalf of your group. However, the group leader will not get any bonus, and all the members within the group will share the same marks.

Students must submit TWO PDF files, ONE WORD file, ONE EXCEL file, AND ONE FOLDER containing all the R FILES or EXCEL FILES&WORD FILES that you used for regressing. Compress ALL the above Files and Folder in ONE ZIP FILE titled with course CODE, your NAME and STUDENT ID in the required FORMAT:

PDF 1: Assignment report by including Marking Rubrics

Microsoft Word File: The file that you used to generate the PDF 1 File

PDF 2: FULL version of the Turnitin report of corresponding Assignment report in PDF 1

Microsoft Excel File: The file of the data that contains the original and cleaned data in different sheets that you used in finishing the reports

ZIP File: The name of the ZIP file should be in the form of “SEM311_NAME_STUDENT ID” WITHOUT any blank space in the fore, middle or rear. If your name (shown on your student card)  is John Doe and your student ID is 123456, the filename should be “SEM311_ JohnDoe_ 123456”.

Students are required to carryout the tasks listed below and marks will be rewarded according to mark allocation and the fulfillment of number of components.

E.  Task(s)

Your report  should  consist  of the following components where marks will be  awarded accordingly.

No.

Tasks

1.

Collection of relevant macroeconomic data and analysis of their behavior and relationship with the real consumption in United States. Pay particular attention to: •   Stability of residuals variance (standard deviation). Apply transformation techniques such as linear, log-log, log-lin, orlin-log if needed. •   Diagnostic tests: Multicollinearity, Heteroscedasticity, and Autocorrelation (check for related remedial measures).

F.  Evaluation Breakdown

No.	Component Title	Percentage of  assessment (%)
1.	Task (a): State the objective of the study and each analysis	5
2.	Task (b): Describe the related concept, theory etc.	25
3.	Task (c): Describe the methodology and data sources	20
4.	Task (d): Apply the estimation procedure to get the results	20
5.	Task (e): Conduct appropriate diagnostic tests and related remedial measures	20
6.	Report findings and correct interpretation of results	10
	TOTAL	100