Academic Research Thesis

For those in pursuit of Ph.D or build career as an advanced data analyst, a researcher, or a lecturer…

What is an "Academic Research Thesis"?

An Academic Research Thesis is a scientific research paper with inclusion of literature review and using of econometric methods. Its topic ranges widely from the execution of economy to market’s activities, from development issues to market’s behavior

Quality Criteria

VNP apply the criteria of a research paper published in academic journals to our Academic Research Thesis. A publication affirms the student’s research skills and outweighs his/her advantage in winning PhD scholarship.

Structure of Academic Research Thesis

Title page

Declaration

Acknowledgements

Abbreviations

Abstract (Research problems. Research objectives. Research methodology (models, data). Research results)

Table of Contents

List of Tables

List of Figures

  1. Problem statements
  • Description of what is happening in practice and it associated problems
  • Description of research gap
  • Specification of research problem
  1. Research objectives
  • Could add research questions here
  1. Scope of the study
  • Scope in terms of topic, time, studied site
  1. Structure of the thesis
  1. Review of theory
  • Discussion of the crucial concepts used
  • Presentation of relevant theory or development of theoretical framework
  1. Review of empirical studies
  • Review by topics (concepts and methodology. DO NOT review by listing each paper and summarising its abstract).
  1. Summary
  1. Analytical framework
  • Presentation of the analytical framework
  • Citing sources of theories and empirical papers that your analytical framework is built on.
  1. Econometric models
  • Justification of the approach
  • Presenting the models (preferably detailed model with functional form and specification i.e. variables, not models in general form)
  • Description of variables: definition and measurement (ways to measure the variable, including unit)
  • Briefly presenting econometric approach
    • Models: OLS, Logit, Tobit, Panel data etc.?
    • Estimation method: Ordinary least squares, Maximum likelihood, generalised method of moments etc.?
    • Regression diagnostic: model fitness, multicollinearity, heteroscedasticity etc.
    • Model specification: possible endogeneity problem
  1. Data
  • Description of dataset: sources, dataset structure, sampling method etc.
  • If primary data: describing questionnaire structure, data collection method, and sampling
  1. Overview of the research topic
  • Background information on the topic: description of studied sites, history, trend, institutional context, legal documents etc.
  1. Descriptive statistics
  • Table of descriptive statistics that contains sample size, mean, standard deviation, min, max
  • Graphs: distributional graphs of main variables in the model (for example histogram in Stata)
  • Table of correlation coefficients
  • Graphs that graphically shows the relationship between two main variables (e.g. Y and X)
  1. Regression results

(hints: never start a section by a table or figure. Write an introduction paragraph and then show tables or figures)

  • Presenting regression results in tables
  • Presenting and discussing results of diagnostic tests: R2, multicollinearity, heteroscedasticity, endogeneity etc.
  • Describing meaning of estimated coefficients in words (negative/positive, significance/insignificance)
  1. Discussions
  • Discuss the economic meaning of the regression results
  • Compare the results to results from empirical studies reviewed in chapter 2
  1. Conclusions
  • Summarising problem, objective, methodology and main results
  • Strengths of the research
  1. Policy implications
  • Policy suggestions should relate directly to the research results
  1. Limits of the study
  • Weaknesses of the research
  • Suggestions for further research

References

Appendix

  • Any supporting evidences
  • Stata codes and original Stata results

 

Published Thesis Papers

Many of our students have affirmed their research ability through published research papers in international academic journals. It can be counted as below:

The capital asset pricing model: Beta and what else? (Phạm Ngọc Thạch, VNP 20)

How to reduce mangrove forest extraction in the Mekong river delta of Vietnam? A common pool resource experiment (Đỗ Hữu Luật, VNP 20)

The willingness to pay for flood insurance in Mekong river delta (Nguyễn Ngọc Quế Anh, VNP 21)

Collateral liquidity and loan default risks: The case of Vietnam (Nguyễn Lê Hiếu, VNP 21)