Econometrics Analysis Paper Using Multiple Regression Methods and STATA software-An Examination of the Lithuanian Labour Market during the first quarter of 2001”
An Examination of the Lithuanian Labour Market during the first quarter of 2001”-To analyse the data set you will need to use the questionnaire which accompanies the data set and can, again, be found on the Moodle site.
You will aim, as a minimum, to answer four main questions. Using a Mincer wage equation:
- What are the returns to education working in the Lithuanian labour market in 2004? Are there differences due to gender, or ethnicity? Explain and discuss.
- Is there any evidence of wage discrimination within the labour market of Lithuania in 2004 based on age, gender, and ethnicity?
- Examine and discuss the differences between tenure and work experience in helping to determine the wage in the labour market.
- Examine and discuss the differences between working part-time and full-time in the labour market. This examination could look at the differences in wage between the groups; differences due to gender, ethnicity, or location, to name a few.
Analysis 30 Marks
Analysis here refers to the examination, interpretation, and discussion of the results of your empirical econometric investigation as it relates to the assessment brief, where sources of material are both of a theoretical and empirical nature.
By results is meant not just regression results but tables of frequencies, and graphs produced using the data supplied for the coursework.
Subject Knowledge 30 Marks
Understanding and application of subject knowledge and underlying principles. Note that a student may state relevant knowledge in answering the coursework question, but may not apply such knowledge sufficiently in the analysis: having knowledge does not guarantee analysis. In addition, the application of subject knowledge will require technical competency which is explained below.
Technical Competency 15 Marks
This criteria is defined as the demonstration of the skills to enable the evaluation and execution of ideas appropriate to the assessment; E.g. well-thought out specifications are required for this econometric exercise; appropriate mathematical equations; appropriate theoretical diagrams which help answer the coursework question; logical analysis and discussion using appropriate theoretical concepts for discursive or quantitative style assessments; use of mathematical techniques where appropriate in more quantitative assessments. All tables, and diagrams, must be constructed by yourself and not copied and pasted.
Under this criteria, the Stata do file and Stata log file submitted will also be evaluated. The do file must contain a “date stamp” in its list of commands.
The preceding is not an exhaustive list.