Minimum wages and firm profitability

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1.topic:
Draca, M., Machin, S. and Van Reenen, J., 2011. Minimum wages and firm profitability. American Economic Journal: Applied Economics, 3(1), pp.129-151.
2.Introduction:
For this course, you are required to conduct a replication study of a published piece of research in an area of your interest. The main aspect of a replication is
an attempt to reproduce the original article’s results using the same data and the same methods. Your replication should principally involve one of the
research designs discussed during the course or some variations. You can use the statistical software of your preference to carry out the analysis.
I want to choose Draca, M., Machin, S. and Van Reenen, J., 2011. Minimum wages and firm profitability. American Economic Journal: Applied Economics,
3(1), pp.129-151.
Please copy the table (or data) obtained by the instructions and instructions of stata (or other software) into the report.And write the references in the
standard format at the end of the article.In addition, if you receive the same writing topic, please ensure that the content of our articles is not
repeated.Because we may be the same marking teacher.
3.Data:
An essential part of a replication is to have access to the data/code of the original article. You can obtain these by writing to the authors or, more easily, by
looking for (recent) studies published in journals requiring datasets be made available, e.g., The American Economic Review, all four American Economic
Journals (Micro, Macro, Applied, Policy), The Review of Economic Studies, The Review of Economics and Statistics, Journal of Applied Econometrics, etc. In
some cases, the data may be publicly available. Getting data for your replication can be a challenge in itself so I encourage you to start thinking about this
project immediately. Another very useful resource is the replication Wiki ( http://replication.uni-goettingen.de/wiki/index.php/Main_Page), where you can
search for studies to replicate by method, keyword, JEL etc. Yet another useful website for searching among more than 3000 articles that have an accessible
data and code supplement is: http://econ.mathematik.uni-ulm.de:3200/ejd/
4.report:
Your empirical project does not have to replicate the entire paper. You can focus on the portion containing the main empirical analysis that addresses the
causal question of interest. In terms of length, your paper should be at most 8 pages (12pt, double spaced) and have supporting tables. Your paper should
have the following information:
Background: What is the paper that you are replicating about?
Empirical methodology: What methods are used in the original study? Are they appropriate?
Data: What data do you use for the replication and how did you get them. Present summary statistics.
Replication results: Present and explain your results. Explain if they differ from the original study.
Tables: Include summary statistics and results of the replication and extension.
References: Include any references used. You do not need to copy the references from the paper you are replicating, only cite papers on which your work
builds on.
5.Plagiarism
Academic honesty is a vital part of any course of study. As a member of the academic community at Southampton, you are expected to work in accordance
with the University’s principles of Academic Integrity. This includes fully acknowledging the work of others wherever it has contributed to your own thereby
avoiding plagiarism. Please read carefully the attached Academic Integrity Guidance and in particular the part that explains what constitutes plagiarism.
6.Stata resources
Some useful links to learn Stata:
Princeton Data and Statistical Services, USA
A series of pages giving a step-by-step instruction in Stata. Topics start from basic Stata usage, and progress through common data management tasks
through to using Stata for a wide variety of analysis topics.
UCLA Institute for Digital Research and Education (IDRE), USAAn extensive resource of Stata information, including FAQs, learning modules, a quickreference guide, annotated output, textbook examples, and more.
Introduction to Stata (PDF), Christopher F. Baum, Boston College, USAA 67-page descriiption of Stata, its key features and benefits, and other useful
information.