Assessment 3_S3 2022 final-1

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School

Royal Melbourne Institute of Technology *

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Course

1313

Subject

Economics

Date

Apr 3, 2024

Type

pdf

Pages

8

Uploaded by ChancellorCrow18008

Page 1 of 8 RMIT Classification: Trusted ECON 1313: BASIC ECONOMETRICS SEMESTER 3, 2022 Assessment 3 Empirical Team Project Report (40%) Due: Week 11 on Wednesday Jan 11, 2023 at 11:59 AM INSTRUCTIONS: Please read this instruction carefully. Your submission needs: To be submitted in in TII through Canvas Less than 3,500 words (excluding references, any Appendix and tables reporting regression results from R). The font used should be Times New Roman 12pt. Include page numbers in either the footer or the header). Please note that a n Appendix contains information that is not essential to your report, but supports your analysis and discussion. If you put important information or discussion in an appendix, it will not be marked. Please do not copy the question parts to avoid a high similarity rate in TurnItIn. You need to submit Word file NOT a PDF file. Texts with PDF format or images will not be marked (excluding texts in graphs). You need to report the regression results from R in tables, and not the results directly from R (see the template at the end of the instruction). Penalties: o Late work : Deduction of 10% of the assessed mark of each day late. The deduction will be calculated on a pro-rated basis. o Word limit: deduct 5% of the assessed mark for each 100 words over the word limit. An additional 10% of the assessed mark will be deducted for report with no word counts or providing an incorrect word count on the cover page. o Deduction of 5% of the assessed mark for inappropriate reporting of regression results from R in the Word report. o Deduction of 10% of the assessed mark for each screen shot provided The front page of the report should state: (i) Your name and student number; (ii) The lecturer’s name; (iii) Your team number; (iv) an accurate word count Students need to submit ALL of the following via Canvas. Reports with no Excel data files and R- scripts submitted will not be marked. o a Word report, o Excel data files o R-script Any assignments submitted more than 7 days after the due date will not be marked. Please note that RMIT treats plagiarism very strictly.
Page 2 of 8 RMIT Classification: Trusted You must submit the below table completed with your agreed percentage of contribution for each group member in your report after the cover page . Group Members: Student ID First name Parts contributed Contribution % Signature Marks will be allocated based on the contribution of each team member. For example, if the team receives 25 marks and contribution of one member is 80%, then the mark of that team member will be (80% of 25) 20 marks. Any issues in regard to this team member’s relative contributions must be resolved by the group before submission of the assessment.
Page 3 of 8 RMIT Classification: Trusted Overview This assessment task takes the form of a report, which your team will prepare as part of a consulting research assignment. The assignment should be structured to include the 3 main sections detailed below. SECTION A: CROSS-SECTIONAL DATA ANALYIS A multinational consulting firm has been approached by a client to do a consulting project on understanding potential factors which influence firm investment in businesses of several countries including Cambodia, India, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Thailand, Turkey, Uzbekistan and Vietnam. The client expects to understand the potential factors that influence firms’ investment in these countries. Your team is assigned to do this project and is required to submit a report. The project is to analyse the determinants of firms’ investment in a particular country by using a reliable dataset. Data of firms in a particular country was collected from World Bank in Enterprise Survey and is available on World Bank website via the link: https://www.enterprisesurveys.org/en/survey-datasets Your team will work on data of ONE country which is assigned by your lecturer. Link to download data and questionnaires of the surveys is found on Canvas . PART 1A: Data extraction and cleaning Read the provided questionnaires in order to understand the information in the dataset provided. Extract data on the following variables from the dataset for your analysis. - Firm investment : total money spent on any new or used fixed assets, such as machinery, vehicles, equipment, land or buildings (in LCUs) - Firm sales: total annual sales for all products and services (in LCUs) - Firm age : number of operating years (measured by subtracting year of beginning operation from the year of the survey) - Firm size : number of all employees and managers - Legal status dummy ( 1= if firm is Sole proprietorship, 0 = others) - Experience : Working experiences of Top Manager (number of years of experience working in this sector of Top Manager) - Gender of Top Manager (1 = female, 0 = male) In the data cleaning process, you may need to recode some variables from the way they are measured in the dataset provided. Explain the data extraction and data cleaning process.
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