I provide specialist support in research methodology, econometric modelling, and empirical data analysis for postgraduate students, academics, research teams, public-sector institutions, and policy-oriented organisations.
My work focuses on helping researchers move from broad research questions to credible empirical strategies. This includes clarifying the research problem, specifying testable hypotheses, selecting appropriate econometric methods, interpreting results, and strengthening the methodological coherence of dissertations, theses, journal articles, reports, and policy papers.
Core services
- Research methodology support
I assist with the design and refinement of quantitative and mixed-methods research projects. This includes support with problem formulation, research objectives, hypotheses, conceptual frameworks, empirical strategy, sampling logic, variable definition, and the alignment between research questions, data, and method.
- Econometric modelling
I provide guidance on model specification, estimation strategy, diagnostics, robustness checks, and interpretation. Areas of support include cross-sectional analysis, time-series analysis, panel data methods, limited dependent variable models, causal inference designs, forecasting models, and applied macroeconometric or microeconometric analysis.
- Data analysis and interpretation
I assist with preparing datasets for empirical analysis, selecting suitable estimators, testing model assumptions, interpreting statistical output, and presenting results in a manner appropriate for academic or policy audiences. The emphasis is on methodological transparency, reproducibility, and defensible inference.
- Thesis, dissertation, and article support
I work with postgraduate students and researchers to strengthen methodology chapters, empirical chapters, journal manuscripts, and responses to examiner or reviewer comments. This includes identifying weaknesses in research design, improving econometric justification, clarifying results, and ensuring that claims are supported by the evidence.
- Workshops and research training
I offer training sessions on research methodology, econometric reasoning, data analysis, and responsible use of artificial intelligence in academic research. These sessions can be tailored for postgraduate students, early-career researchers, academic departments, or research organisations.
Areas of econometric support
• Research design and empirical strategy
• Model specification and variable selection
• Cross-sectional, time-series, and panel data analysis
• Diagnostic testing and robustness checks
• Causal inference and identification logic
• Forecasting and applied macroeconomic modelling
• Survey data analysis
• Interpretation of regression results
• Methodology chapter review
• Empirical chapter review
• Journal article and policy report support
Professional and ethical approach
My role is to strengthen the quality, credibility, and transparency of the research process. I do not fabricate data, manufacture results, or provide ghostwritten academic submissions. The researcher remains responsible for the final work, authorship, data integrity, and institutional compliance.
All support is provided with an emphasis on academic integrity, methodological clarity, and defensible empirical reasoning.
Request a consultation
To discuss a project, please provide a short description of your research topic, research question, dataset, current stage of work, and the type of support required.
Contact: mphumzimm@gmail.com