as1

.pdf

School

University of Melbourne *

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Course

20001

Subject

Economics

Date

Apr 3, 2024

Type

pdf

Pages

Uploaded by PresidentFrog2441

Assignment 1 ECOM20001: Econometrics 1 Assignment 1 Student Information To receive an assignment grade, you must fill out the information in this table and include this table on the front cover page for your assignment. Only students whose names and student ID numbers are included on the cover page will receive marks for the assignment. Groups of up to 3 students are allowed. Due Date and Weight • Submit via LMS by 8 am on 2 September 2022 • No late assignments will be accepted. • This assignment is worth 5% of your final mark in ECOM20001. • There are 40 marks in total. What You Must Submit via the LMS • Assignment answers no more than 8 A4 pages with 12-point font. 5 marks will be deducted if your answers exceed 8 A4 pages. • The R code that generates your results. Specifically, copy and paste your R code in an Appendix at the end of your assignment document (e.g., in the .docx file) so it can be viewed and tested by markers. The R code Appendix does not count toward your 8-page answer limit. You may alter and shrink the R code font to less than a 12-point font so that it is easier to read. 2 marks will be deducted if you do not include your R code. Name Student ID Number Sally Probability 422552 Xiaosong Statistics 653223 Ipsa Regression 294480 1

Assignment 1 Additional Instructions • You may submit this assignment in groups of up to 3. Students in a group are allowed to be from di ff erent tutorials. • You must complete the assignment in no more than 8 A4 pages with 12-point Arial, Times New Roman, Helvetica, Cambria or Calibri font. The assignment cover page does not count toward the 8 A4 page limit. • To save time, you may copy RStudio output directly into your answers in reporting empirical results. You are also free to create your better-formatted tables based on your RStudio output, which is, of course, good practice in learning how to present empirical results. • Figures may also be copied and pasted directly into your assignment answers. They may be scaled down in size to meet the 8-page limit, but please ensure that your figures are readable. If they are not, marks will be deducted. • Marks will be deducted if interpretations of results are incorrect, imprecise, unclear, or not well-scaled. Similarly, marks will be deducted if figures or tables are incorrect, unclear, not properly labelled, not well-scaled, or missing legends. • When in doubt, work with 3 digits past the decimal throughout. • This R code in the Appendix at the end of your assignment (as discussed on the previous page) must be commented on and easy for the subject tutors to follow. If the code is not well commented and easy to follow, marks will be deducted. Commenting and code clarity must be at the level of tutorial code, or marks will be deducted. • Students with a genuine reason for not being able to submit the assignment on time can apply for special consideration to have the assignment mark transferred to the exam at the following link: • https://students.unimelb.edu.au/admin/special/ 2

Assignment 1 Getting Started Please create an Assignment1 folder on your computer, go to the LMS site for ECOM 20001, and download the following data file into the Assignment1 folder: • as1_beer.csv This dataset contains the following 5 variables: • state : US state • year : sample year • beercons : per capita beer sales in terms of gallons of ethanol equivalent • beertax : beer tax in terms of inflation-adjusted (real) dollars per gallon • cigtax : cigarette tax in terms of inflation-adjusted (real) dollars per pack Data summary This dataset contains annual information on beer sales, beer taxes, and cigarette taxes across 47 US states from 1981 to 2007. About the Assignment In this assignment, we will investigate the empirical relationship between beer sales and “sin taxes” for beer and cigarettes. Understanding how sales (and hence individuals’ consumption decisions) are a ff ected by government-set tax rates is a fundamental area of research called public economics , that is, the economics of government decision-making. The data are drawn from the article: Bernheim, Douglas B., Meer, Jonathan, and Neva K. Novarro (2016): “Do Consumers Exploit Commitment Opportunities? Evidence from Natural Experiments Involving Liquor Consumption,” American Economic Journal: Economic Policy , 8(4), 41-69. 3

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