The exposé in the field of economics.
Two things are assessed here: whether your question is grounded in theory and whether the data you need is actually accessible. Both are determined before the first line of body text is written.
The research proposal outlines the research gap, theoretical framework, research question, model or hypotheses, data basis, methodology, expected contribution and timeline. For working professionals, access to data is the critical issue: without a reliable, written commitment, even the best design remains merely a draft.
The components
The length is usually between 8 and 15 pages, depending on the supervisor’s requirements.
The theoretical framework underpins the work
In economics, the framework determines which variables are relevant and how results are interpreted. Anyone who collects data without a framework produces data without interpretation, and this is precisely what stands out during the peer review process.
The framework does not need to be new. It must be appropriate, clearly referenced and demonstrate where your work extends, tests or applies it to a new context.
Establishing the practical relevance correctly
A topic drawn from your own organisation is an advantage, provided the question extends beyond the specific case. Therefore, do not simply describe your department’s problem, but rather the general question underlying it, and demonstrate why the answer also applies to other organisations.
Set out in writing which data you are permitted to use and what may be published. This authorisation should be attached to the proposal as an appendix. It answers the first query from any supervisor before it is even asked.
Common weaknesses
Without a theoretical framework, results remain descriptive and difficult to interpret. This is the most common reason for rejection.
A main question with a few sub-questions is more effective than a list that cannot be worked through at any stage.
The most common point of failure. Accessibility issues belong before the design phase, not during the data collection phase.
The choice of method must follow from the question. A regression model that identifies nothing will convince no one.
Follow-up questions.
Quantitative or qualitative?+
Whatever the question requires. Both approaches are accepted, as are mixed designs. Check what is standard practice at your target faculty.
Can I use company data?+
Yes, provided you have written authorisation for use and publication. Without this consent, the study is not robust.
How much literature should be included in the synopsis?+
The key works, not everything you’ve read. The aim is to provide an overview, not to be exhaustive.
Does the thesis topic have to be finalised yet?+
The intended contribution, yes; the result, no. You describe what will be known differently as a result of the work.
How long should it be?+
Usually 8 to 15 pages, depending on your supervisor’s guidelines.
Do I need hypotheses?+
For quantitative designs, usually yes. Qualitative studies, on the other hand, formulate guiding questions.
Related.
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