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School of Economics, Finance and Business
Econometrics 1 2019/20 Masters Programmes
SUMMATIVE ASSIGNMENT
The dataset ceosal.xls contains observations on the salary of 177 chief executive
officers (CEOs) in 1990, various performance measures of their firms, as well
as personal information such as tenure and education.
Construct an appropriate econometric model to identify the factors affecting a
CEO’s salary. Your report should include attempts to find your preferred
regression model, carrying out necessary tests to evaluate the model, and
interpreting the estimates and the results of the tests you have performed.
Overall word limit, 1000 words maximum.
YOUR COMPLETED ASSIGNMENT MUST BE SUBMITTED TO DUO NO LATER THAN
11.59AM ON 13 DECEMBER 2019.
MARKING GUIDELINES
Performance in the summative assessment for this module is judged against the following
criteria:
 Relevance to question
 Organisation, structure and presentation
 Depth of understanding
 Analysis and discussion
 Use of sources and referencing
 Overall conclusions
Students are advised to use Arial font size 12 for their assignments.
Assignments must be typed or word-processed on A4 paper using 1.5 or double spacing and
with margins of 2-3 cm. Pages should be numbered and stapled together in the top left hand
corner. The word count should include all the text (endnotes, footnotes and any text in the
Econometrics 1 2019/20 Masters Programmes
© 2019 Page 2
School of Economics, Finance and Business
appendix), but exclude diagrams, tables, bibliography, references, computer codes and
appendices (excludes). Guidance on referencing can be found in your year handbook.
You are required to submit an electronic copy of your assignment on DUO which will be put
through the plagiarism detection service.
PLAGIARISM and COLLUSION
Students suspected of plagiarism, either of published work or work from unpublished
sources, including the work of other students, or of collusion will be dealt with according to
Business School and University guidelines.
You are required to submit an electronic copy of your assignment on DUO which will be put
through the plagiarism detection service. The deadline is 11.59AM ON 13 DECEMBER2019.

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