Bernard Benario Ahodia

Research & Selected Work

Explore Bernard Benario Ahodia’s research interests, econometric methods, agricultural returns and rural poverty manuscript, and selected analytical work.

Academic & research profile

Questions framed carefully. Evidence handled rigorously.

Research interests, methods, published writing, and project frameworks at the intersection of economics, policy, data, and development.

Research statement

Applied economic inquiry for decisions that affect people and institutions.

My interests span econometrics, mathematical economics, development economics, public policy, international trade, statistics, data science, artificial intelligence, and quantitative research. Current work includes a co-authored, measurement-sensitive analysis of agricultural returns, partial productivity, and rural poverty using Ghana Living Standards Survey Round 7 data.

Published commentary

3 public articles

Policy-facing writing on higher education, national service, and public transport in Ghana.

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Research manuscript

Agricultural returns & rural poverty

Co-authored GLSS 7 study of 7,991 rural households. It is presented as a manuscript, not described as peer-reviewed or published.

Quantitative design

Weighted econometric analysis

FGT poverty measures, weighted logit, average marginal effects, PSU-clustered errors, robustness models, and explicit non-causal interpretation.

Presentations

Open to invitations

Available for research seminars, policy discussions, professional training, and youth-development forums.

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Selected project frameworks

How I structure analytical work

These capability briefs show the objective, method, and decision value of representative work. Verified client names and outcome metrics are shared only where permission exists.

Development economics • GLSS 7

Agricultural Returns & Rural Poverty

Objective: Examine how agricultural returns and partial productivity are associated with rural household poverty in Ghana.
Method: Household-weighted poverty measures, weighted logit and marginal effects, clustered inference, and robustness checks across alternative productivity measures.
Research value: Shows why welfare-oriented returns, land productivity, and labour productivity require distinct measurement and interpretation.

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Field research • SQL

Field Data Collection System

Objective: Create dependable, analysis-ready evidence from field activities.
Method: Instrument design, validation rules, structured storage, quality checks, and monitoring views.
Decision value: Fewer avoidable errors and clearer visibility into programme delivery.

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Trade analytics • Power BI

Customs Revenue Analysis

Objective: Connect revenue, trade, and performance indicators in one analytical view.
Method: Metric definition, data modelling, variance analysis, and interactive visualization.
Decision value: Faster review of trends, exceptions, and questions requiring deeper investigation.

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Academic research • LaTeX

Economic Research Paper

Objective: Develop a coherent answer to a clearly defined economic research question.
Method: Literature synthesis, research design, quantitative analysis, structured argument, and referencing.
Decision value: A transparent, review-ready paper that separates findings, limitations, and implications.

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