Empirical Analysis You are required to identify the suitable econometric models and methods for addressing the research question. It is essential to provide a justification for the chosen model and meth

Assessment Type: Individual Assignment

Weighting: 70%

Deadline: 27th of March 2026, 3pm

Wordcount: [4,000] (+/-10%) excluding references, appendices, charts, diagrams, etc.

Penalty There will be a penalty of a deduction of 10% of the total marks available for this assessment for work exceeding the word limit. Assessments which are significantly below the word count are unlikely to answer the assignment criteria fully.

Academic Year: 2025/26

A research project, to be conducted individually.

This individual assignment involves the analysis of a dataset using statistical and econometrical techniques.

Transferable skills are skills that are developed in one scenario and can be transferred to another, such as communication, teamwork or analytical skills.

The main transferable skill covered in this assessment is Researching and Analysing

The following skills are also covered in this assignment

Communicating ☐

Team working ☐

Leadership & Supervising ☐

Researching & Analysing ☒

Problem solving & Decision making ☒

Planning & Organising ☒

Learning, Improving & Achieving ☒ Resilience, Adaptability & Drive ☒ Enterprising Skills☐

Generative Artificial Intelligence (AI) tools have the capacity to support students in enhancing their own learning but should not be used to replace the learning, knowledge and understanding required to meet the learning outcomes of the module.

 

The use of Generative AI is allowed within this assessment, but any use must be cited in your work where appropriate and the integrity form attached to this  assessment  must  be  submitted  with  your  work. This assessment tests your ability to critically reflect upon information, or to apply theory or knowledge to a range of situations. In this assessment Generative AI can be used as a tool to support the development and research phase of the assessment process but not the final submission. Remember there are limitations of AI generated content and therefore you need to use the skills developed through

your degree programme to engage with the assessment

Using AI tools when they are specifically not allowed is considered an academic offence in accordance with senate regulation 11.

Further Guidance

  • Analyse information from the dataset and write a project. Your analysis should involve the statistical and econometric techniques learned throughout the module.
  • Please note that this assignment is not supervised. Students should use their own knowledge in deciding how to analyse the data and which results to include in their project.
  • You have been taught how to use Excel and STATA. Although these are what we recommend, you are free to use whichever statistical package you like for the manipulation, presentation and analysis of data.
  • The word limit is 4,000. Appendices, equations, tables, graphs, and bibliography do not count towards the limit.
  • Project layout and length: Please see the section for Essay Structure.

· You will be provided with multiple datasets, from which you can choose only one to

analyse: Datasets relevant to the project are available in the EC7062 page on Blackboard, in the “Assessment and Feedback” section.

The datasets are provided in both Excel and STATA formats.

  • You need to find your own research question which relates to the chosen dataset. Keep in mind, your question needs to be specific.

A typical structure of the paper would include

(i) Title and Abstract; (ii) Introduction; (iii) Literature review; (iv) Data description; (v) Empirical analysis; (vi) Results/Discussion; (vii) Conclusion.

 For the title page, please provide title and Student ID. Please see below for a suggested essay structure:

1. Abstract

The abstract should tell the reader what the project is about: its research objective/questions, the importance of the research. It can include an overview of the methodological approach, data analysis technique, a summary of main findings, and conclusions. It should be no longer than 250 words.

2. Table of Contents

The contents page should list the different chapters/headings and their page numbers. Whatever numbering system you use, be sure that it is clear and consistent throughout.

3. Introduction

There should be an introduction to the project, stating the objectives of the analysis and drawing attention to any particular aspects of the project. The introduction is essential in order to tell the reader what the project is intended to provide. It should include a statement of the research objectives/aims/questions on which the inquiry is based, the sources of information used. It should include at least an outline of the research methodology. The introduction sets the scene and puts the whole inquiry into its proper context. It should explain why the research was carried out and outline the significance of related work on the topic.

4. Literature Review

Reviewing the literature will inform the nature of the research objective and questions.

You are encouraged to use the various electronic search facilities, journal articles and classic texts to identify and understand well-established and more recent thinking in the area.

A critical evaluation of the literature in the chosen field of study must therefore be undertaken to produce a clear and logical argument that informs and reflects on your research objective and questions. During this process you are required to identify the appropriate theories, models and conceptual ideas.

Your literature search should be both systematic and thorough. It is important to consider the literature that is relevant to the chosen topic, provide a clear and in-depth understanding of the methodologies and chosen papers. It`s also important to highlight any existing arguments in the literature and critically analyse the reasons behind any opposing ideas regarding the topic.

5. Data description

Once you download the data, it is crucial to acquaint yourself with it. For your assignment, you are required to provide a clear and comprehensive description of your cross-sectional dataset. Begin by stating explicitly that the data is cross-sectional and specify the point in time that it refers to.Describe what each observation represents (for example, an individual, household, firm, or country) and state the total number of observations. You should also explain the nature of the variables, such as dummy variables or ordinal variables. It’s essential to provide a table of summary statistics of each variable and explain what these statistics indicate.

6. Empirical Analysis

You are required to identify the suitable econometric models and methods for addressing the research question. It is essential to provide a justification for the chosen model and method. For instance, if you opt for multiple linear regression, explain why the key assumptions of ordinary least squares (OLS) are met for your model. In case you employ robust variance/inference, provide a rationale for this choice.

It may be needed to adjust your initial model after estimation in ways that are deemed reasonable, and re-estimating it. The objective is to assess whether the main conclusions are sensitive to variations in the original model`s specifications.

The EC7062 lectures and computer classes are designed to provide support with the use of STATA/Excel for data analysis. The tasks carried out in the lectures and computer classes should help you understand how to analyse a dataset.

7. Results/Discussion

In this section, you need to present your results in well-crafted tables. You need to provide a thorough and in-depth discussion of your empirical findings, an interpretation of the estimation outputs and emphasize the implications of the estimated parameters for the chosen topic. Evaluate whether the coefficients exhibit the expected signs and if they are statistically significant. If a coefficient is statistically significant but displays a counterintuitive sign, explore potential reasons. This could uncover issues with the data or the econometric methodology.

8. Conclusion

This section should summarise the main findings. Here, you can include any limitation in your investigation, and possible remedies.

Use of appendices

You are advised to be cautious when including appendices in this assignment.

There are no specific criteria for marking or mark allocation available for appendices, so the assessment process focuses on the appropriate use of appendices.

When deciding whether or not to include other appendices, consider the following points:

  • Appendices should add value or detail to the discussion and analysis undertaken in the main body of the assignment.
  • They offer students the opportunity to give greater relevant and appropriate detail to support the main analysis and discussion.
  • Models, theory and discussion that demonstrate critical evaluation and analysis of issues related to the module being assessed should always be presented within the main body of the text. This discussion should make sense without referring to the appendices.
  • Using bullet points in the text (which does not constitute analysis) and putting the detailed analysis in the appendices is not acceptable practice and could result in failure.
  • The inclusion of appendices should not be viewed as an opportunity to include anything that cannot fit in the word count.
  • Assignments that make excessive use of appendices suggest inappropriate use. As a guide, we would not normally expect appendices to exceed one third of the length of the assignment.
  • Appendices should always be referenced at the appropriate point within the discussion in the main body of the text. 

Marking Rubric

 

 Introduction

Literature review

 Data description

 Methodology

 Discussion

 Professionalism

 

 

 

Clearly describes

 

Provides critical analysis of the empirical results, including meaningful interpretation of the findings.

Results are discussed in relation to the research question, with consideration of limitations and implications.

The report is coherent in structure and style. Sections are well defined, and paragraphs and sentences have logical structure.

Citation is appropriate and follows the Harvard style

 

 

Establishes the

the provided

Clearly

 

 

problem

dataset and its

describes the

 

 

studied in the

key features. The

manner which

Definition of Criteria

Provides a succinct summary of the study

essay and

outlines the importance of

structure and

characteristics of the data are

the study was

conducted. The empirical

 

and main conclusions

the topic

discussed,

model is

 

 

researched and

including any

described and

 

 

puts it in

features that are

justified to

 

 

context on the

important for the

address the

 

 

literature

subsequent

topic analysed

 

 

 

analysis.

 

Distinction

 

85%,

95%,

100%

The Introduction clearly summarizes all pertinent aspects of the study (i.e. aims/what was done/ what was found/interpretation) in a way which encourages the non- expert reader to continue reading the paper.

The discussion shows an outstanding grasp of the relevant literature and key concepts. Existing findings are brought together in a thoughtful and critical way, helping to highlight important gaps or limitations. The research question is clearly focused and well- motivated, with good awareness of what the available data can and cannot address.

Overall, the discussion reflects independent thinking and a high level of conceptual understanding

The provided dataset is described comprehensively. All variables are accurately defined in the student’s own words, with clear explanation of their relevance to the research question. The sample structure and any limitations of the dataset are critically discussed. The data is described using appropriate descriptive statistics, and salient patterns worth noticing or with impact further on in the study are clearly analysed

The methodological framework is well justified in relation to the research problem and the data used. There is a deep and critically informed understanding of the methodology, including thoughtful evaluation of its assumptions and limitations.

The discussion shows a strong level of analytical insights. The results are interpreted critically and confidently in relation to the research question, hypotheses, and relevant literature, with clear awareness of the theoretical and methodological context.

Alternative explanations are considered thoughtfully, demonstrating independent judgement in assessing the strengths, limitations, and wider significance of the findings. The conclusions are well integrated and clearly set out both the contribution of the analysis and

its limitations.

Produces work at a high level of professionalism, completely and competently following a coherent referencing style.

Distinction 72%,

75%,

78%

The introduction clearly summarizes all pertinent aspects of the study (i.e. aims/what was done/ what was found/interpretation) in a way which encourages the non- expert reader to continue reading the paper.

Demonstrates strong coverage of the topic, relevant literature, and underlying concepts.

There is a clear and coherent synthesis of previous findings, with thoughtful analysis that goes beyond description. An informative and logically defensible evidence- based rationale is presented.

Research questions and hypotheses (where appropriate) are clearly formulated and well justified in relation to the given data and relevant conceptual

frameworks.

The provided dataset is clearly described.

Variables are accurately defined and their relevance to the research question is clearly explained. The sample structure is described, and appropriate descriptive statistics are presented.

The methodological framework is well justified in relation to the research problem and the data used. There is a clear and accurate understanding of the methodology and its key assumptions and limitations. Appropriate critical reflection is evident.

Clearly summarizes all the following: the question, the results, the support for the hypotheses, links to existing findings/theory, methodological problems, future research. There are original and evidence- justified alternative explanations explored. There is a clear explanation provided by the critical analysis made in the discussion.

There are logical conclusions and a clear take- home message.

Produces work which is professional and entirely adheres to the referencing standard chosen format with barely any faults.

Merit 62%,

65%,

68%

The introduction summarises the key aspects of the study in a relatively concise manner and provides adequate context and motivation for the research. Any vagueness or redundancy in expression or detail is minor in nature. The introduction is informative to a non- expert reader, though the rationale for the study may lack depth or critical development.

The literature review outlines the relevant context and key debates using appropriate academic sources.

Previous findings are discussed with some attempt at synthesis, though critical evaluation and depth of analysis are limited. Links to the research question and hypotheses (where appropriate) are evident but not always clearly articulated or fully developed. The discussion could be strengthened through deeper engagement with the literature.

The dataset is described and variables are defined, with some explanation of their relevance to the research question. The sample is described, but the descriptive analysis is limited.

The econometric methodology is well fundamented in line with the problem presented and the data used. There is a good understanding of the methodology used. No limitations presented

The discussion section clearly restates the main aims of the study and summarises the findings at a conceptual level. The results are linked to relevant literature introduced earlier. There is sound conceptual analysis of the findings, with some evaluation of the study’s strengths and limitations.

Possible alternative explanations are considered, though not always in depth. The conclusions are clearly summarised.

Produces professional looking work. References match citations and are complete, and the chosen referencing style is followed, with only a few minor formatting faults.

 

 

 

 

 

 

 

 

 

 

 

Pass 52%,

55%,

58%.

 

 

 

 

 

 

 

 

 

 

 

The introduction contains most of the core aspects of the study conducted.

Despite vagueness and potential missing information or inaccuracies, a reader can understand broadly the nature of the study.

 

 

 

 

 

 

 

Demonstrates some coverage of the topic, previous findings, and relevant theory. It could be improved in terms of evaluation/ depth of coverage.

There is an inclusion of aims and hypotheses which is partially justified.

 

 

 

 

 

 

 

 

 

The dataset is described at a basic level.

Variable definitions are vague or partially inaccurate, and their relevance to the research question is weakly explained.

Minimal descriptive analysis is provided.

 

 

 

 

 

 

 

 

 

There is a limited understanding of the methodology used. Method is justified as appropriate to the problem, but this is limited.

Understanding of assumptions and limitations is limited.

Some results are discussed, and there is an attempt to interpret the findings in relation to the research question and hypotheses (where applicable).

Interpretation is largely descriptive, with limited analytical depth. Links to relevant theory and literature are present but weak or underdeveloped. Evaluation of results is partial, with limited discussion of methodological issues or implications. A basic conclusion is provided, but it lacks synthesis or critical

insight.

 

The report demonstrates an acceptable standard of structure, presentation, and referencing. Referencing largely follows the chosen style, and sources are mostly complete; however, inconsistencies or formatting errors are present and detract from professionalism. Organisation and clarity are generally adequate but uneven in places, with some weaknesses in presentation or coherence.

 

 

 

 

 

 

 

 

 

 

 

Fail 42%,

45%,

48%

 

 

 

 

 

 

 

The introduction contains references for the study conducted. The structure is not entirely logical or easy to follow. There are some of the basic information mentioned yet with substantial elements missing for the introduction to be complete or informative.

The research question is unclear, poorly motivated, or inadequately framed.

Shows very limited engagement with the relevant literature and previous findings.

Coverage of the topic lacks breadth and depth, with minimal evaluation and weak integration of conceptual or analytical frameworks. The research question and hypotheses (where appropriate) are only partially included and are not fully operationalised or adequately justified in relation to the underlying

rationale.

 

 

 

 

 

 

 

 

 

The dataset is poorly described. Variable definitions are mostly incorrect or missing, with little or no explanation of relevance. The sample is not meaningfully described. No descriptive analysis is provided.

 

 

 

 

 

Provides a weak and unclear description of the methodology. The methodological framework is poorly justified or inappropriate for the research problem, with limited evidence of understanding. No meaningful discussion of assumptions or limitations is provided.

 

 

 

 

 

 

Very little discussion of some of the following: the question, the results, the support for the hypotheses, links to existing findings/theory, methodological problems, future research. The conclusion may be missing or too brief to be meaningful for the reader to understand the main contribution of the study.

 

 

 

 

 

 

 

 

 

 

The format is not uniform across the essay. Different styles are evident across the work showing little coordination across the team.

Referencing is inconsistently made

 

 

 

 

 

 

 

 

 

 

 

Fail 35%,

30%,

15%

 

 

 

 

 

 

 

 

 

 

 

 

 

The introduction is substantially incomplete and barely relates to the study conducted or is difficult to comprehend.

 

 

 

 

 

 

Barely shows any coverage of the topic, and previous findings. It needs major improvement in terms of evaluation/ breadth and depth of coverage/ inclusion of theory. The aims, research question and hypotheses may be missing or poorly formulated.

 

 

 

 

 

 

 

 

 

 

There is little or no attempt to describe the dataset.

Variables are not defined, their relevance is not discussed, and the sample is not described. No descriptive analysis is attempted.

 

 

 

 

 

 

 

 

 

 

 

 

 

Methodology not properly described or justified as appropriate. No limitations presented

 

 

 

 

 

 

 

 

 

 

Incorrect or weak discussion of some of the following: the question, the results, the support for the hypotheses, links to existing findings/theory, methodological problems, future research.

 

 

 

 

 

The format is not uniform across the essay. Different styles are evident across the work showing little coordination across the team. Little or no referencing made.

Fails to demonstrate an acceptable level of postgraduate competence across multiple criteria.