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Economics for the
public record.

Research-informed writing on development, financial inclusion, public policy, and the changing role of artificial intelligence in academic work.

Selected writing

Ideas that meet the moment.

Essays and commentary on development, political economy, and South Africa’s social and economic questions.

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Econometric & methodology services

From a broad question to a credible empirical strategy.

Specialist support for postgraduate students, academics, research teams, public institutions, and policy-oriented organisations.

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01

Research design

Questions, hypotheses, conceptual frameworks, variable definition, and empirical strategy.

02

Econometric modelling

Model specification, estimation, diagnostics, robustness checks, and interpretation.

03

Data analysis

Dataset preparation, estimator selection, assumption testing, and reproducible reporting.

04

Academic review

Methodology and empirical chapters, manuscripts, and responses to reviewers or examiners.

05

Research training

Workshops on methodology, econometric reasoning, data analysis, and responsible academic AI.

Research integrity: Support strengthens methodological quality and transparency. It does not include fabricated data, manufactured results, or ghostwritten submissions.

Featured publicationResponsible AI

A practical guide

AI in
Academia

For students, supervisors, and lecturers who want to use artificial intelligence responsibly, with verification, transparency, ethical use, and accountable authorship.

Buy the book · R350VAT & shipping included

About

Dr Mphumzi Makeleni

Lecturer in Economics at Nelson Mandela University, specialising in applied econometrics, macroeconomics, financial development, and financial inclusion.

His work examines economic growth and the insurance–finance–growth nexus in South Africa, using time-series and panel methods.

He holds a PhD in Economics from the University of the Western Cape and contributes to teaching, research management, conference debate, and public policy.

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For consultations, include your research topic, question, dataset, current stage, and the support you require.

mphumzimm@gmail.com