C31RM: Regression Analysis- Quantitative Element- Project Report Assignment Help

Internal Code: MAS7252

Project Report Assignment Help:

Task: The Research Methods course assessment for the Quantitative element is based on 60% on an individual empirical project. This empirical project consists of two parts: 1. Part I requires estimation of Ordinary Least Squares (OLS) regression models and interpretation of the results; These two empirical topics require understanding of material covered in the Research Methods lectures and computer labs. You will also need to use SPSS for the tasks required for this project. Further details about the writing up and presentation of this individual project are at the end of this document. Part I: Regression Analysis The main objective of this component of the individual project is to 1) run the regression using OLS and 2) to write up a concise report, discussing and analyzing your results, based on suitable results Tables and Graphs. Step 1: Obtain the Data The excel dataset “CEO.xlsx” contains information on chief executive officers for UK corporations in 2016. Step 2: Run the Regression You are required to run the following regression model using OLS: where: is the log salary for CEO i; is the return on assets % for firm i; is measured by the log of firm i’s total assets; is measured by long-term debt/total assets (%); is the years as CEO with company i; is the CEO ages for i; is a dummy variable, = 1 if CEO is female, = 0 otherwise. Step 3: Empirical Discussions 1) Report the results in a simple table – which should include the estimated coefficients, their standard errors, the value of , adj-, and any other statistics you think are appropriate. 2) Discuss your findings, for example, what this equation means and how it can be justified? What are the interpretations of the estimated coefficients? Are the estimated coefficients statistically significant? How well does the model describe the relationship between the variables? Do the assumptions underlying the model hold? 3) Discuss your findings in relation to the relevant literature. 4) Optional Opportunity for Individual Initiative: In this part of your Report you have the opportunity (if you wish to use it - not compulsory) to discuss potential additional variables maybe useful in explaining the CEO compensations.