Refined Research Paper Introduction and Literature Review
- Day: 2023-05-30
- Time: 09:50 to 10:45
- Project: Business
- Workspace: WP 1: Strategic / Growth & Development
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Research, Literature Review, Economic Volatility, Academic Writing, Journal Selection
Description
Session Goal
The session aimed to refine the introduction and literature review sections of a research paper on aggregate volatility, focusing on clarifying research objectives, formulating hypotheses, and enhancing the logical flow and originality of the content.
Key Activities
- Reviewed and incorporated feedback on the paper’s introduction to improve clarity and justification of research objectives.
- Developed structured research questions and hypotheses related to economic volatility and agent size distribution.
- Created a detailed outline for the paper’s introduction, addressing theoretical frameworks and empirical possibilities.
- Compiled a list of top economics journals and provided guidance on selecting appropriate journals for submission.
- Revised the literature review section to better organize key themes and integrate critiques of existing models.
- Discussed strategies for emphasizing originality in research and situating work within broader scholarly discussions.
- Proposed a novel approach to aggregate volatility research, addressing literature gaps and emphasizing methodological rigor.
Achievements
- Completed a refined outline for both the introduction and literature review sections, enhancing clarity and coherence.
- Identified suitable journals for potential submission, aligning the paper’s focus with journal scopes.
- Established a novel research methodology to address gaps in existing literature on aggregate volatility.
Pending Tasks
- Further develop the empirical analysis section, focusing on computational experiments and formal analytical validation.
- Continue refining the methods section to ensure alignment with the paper’s theoretical and empirical contributions.
Evidence
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