Agricultural economics: scope, methods, and relevance to food security and rural livelihoods · Farm household models: subsistence, semi-commercial, and commercial farming systems · Key concepts: input-output analysis, production functions, cost-benefit analysis · Agricultural markets: supply chains, price formation, and market failures · Rural livelihoods framework: assets, strategies, and outcomes (DFID framework) · Food systems: value chains from farm to consumer — actors, linkages, and governance · Poverty and vulnerability in agricultural households: measures and determinants · International agricultural research: CGIAR system, IITA, CIMMYT, IRRI, and their mandate crops

Farm household survey structure: plot-level, household-level, and community-level data · Data organisation in STATA: merge, append, reshape wide and long for panel data · Descriptive analysis: farm size, input use, yield, income, and expenditure statistics · Production analysis: crop output, area harvested, yield gaps, and technology adoption · Income analysis: agricultural and non-agricultural income diversification · Poverty measurement: consumption expenditure aggregates, FGT poverty indices (P0, P1, P2) · Inequality: Gini coefficient and Lorenz curves in STATA and R · Handling complex survey data: sampling weights, stratification, and clustering in analysis · Real dataset: analysis of IITA tomato and cassava household survey data

Dimensions of food security: availability, access, utilisation, and stability (FAO) · Food Insecurity Experience Scale (FIES): questions, scoring, and Rasch model calibration · Household Dietary Diversity Score (HDDS): 24-hour recall, food groups, and scoring · Women’s Dietary Diversity Score (WDDS) and Minimum Dietary Diversity for Women (MDD-W) · Household Food Insecurity Access Scale (HFIAS): questions, coding, and classification · HDDS and FIES analysis in STATA: generating scores and running determinants regression · Coping Strategies Index (CSI): food consumption coping behaviour measurement · Nutritional status indicators: stunting, wasting, underweight — WHO z-score calculation · Food security reports: writing findings for FAO, WFP, USAID, and donor audiences

What is Willingness to Pay (WTP) and why it matters for agricultural technology policy · Revealed preference vs stated preference methods · Contingent Valuation Method (CVM): survey design, bidding formats, and analysis · Choice Experiment (CE): attribute selection, experimental design, and conditional logit model · Hedonic pricing: estimating implicit prices from market data · Probit and Logit models for technology adoption: binary and ordered outcomes in STATA · Tobit model: censored dependent variables for WTP amounts · Double-bounded dichotomous choice: estimating mean WTP with confidence intervals · Real research: WTP for pest management technologies — PhD research by Dr. Emmanuel Augustine Uke, University of Abuja (completed) · Hands-on lab: estimate WTP for an agricultural input using CVM data in STATA

Value chain analysis framework: mapping actors, functions, linkages, and governance · Trader and processor surveys: questionnaire design and key variables · Market integration analysis: price transmission and co-integration tests in STATA · Gross margins analysis: calculating profitability at different nodes in the value chain · Porter’s value chain framework applied to agricultural commodities · Gender in value chains: women’s participation, constraints, and empowerment · Value chain upgrading: strategies for smallholder integration into modern markets · Real case: Yellow and White Cassava traders and processors survey across Benue, Oyo, Anambra

Why impact evaluation matters in agricultural development: causal vs descriptive evidence · RCT design for agricultural interventions: input subsidies, extension, technology trials · Quasi-experimental methods: difference-in-differences, regression discontinuity, instrumental variables · Propensity Score Matching (PSM): theory, estimation, and robustness checks in STATA · Panel data methods: fixed effects and random effects models for longitudinal farm data · LATE estimation in agricultural RCTs: compliance, take-up, and ITT vs LATE · Measuring agricultural technology impact: yield, income, food security, and empowerment outcomes · Writing agricultural impact evaluation reports for CGIAR, World Bank, and donor audiences · Real case: evaluation of training and market support on farmers’ WTP — completed PhD dissertation by Dr. Emmanuel Augustine Uke, University of Abuja

Structure of an agricultural economics research paper: introduction to conclusion · Writing the literature review for agricultural economics: key journals and databases · Presenting econometric results: regression tables, marginal effects, and robustness checks · APA and journal-specific citation styles for agricultural economics publications · Writing the abstract: structured format for agricultural economics journals · Target journals: Food Policy, Agricultural Economics, World Development, AJAE, JARDES · Responding to reviewer comments: structured approach to revision and resubmission · Policy briefs for agricultural development: CGIAR policy notes, IFPRI briefs, and FAO reports · Capstone project: write a complete 5-section research paper from a provided agricultural dataset

Analyse farm household survey data using STATA and R to professional CGIAR standards · Measure and interpret food security indicators including FIES, HDDS, and HFIAS · Conduct WTP studies using CVM and Choice Experiments with logit/probit models · Evaluate agricultural interventions using RCTs, DiD, and propensity score matching · Map and analyse agricultural value chains across production, trade, and processing · Achieve a credential grounded in real IITA-CGIAR agricultural research experience

Complete all 7 modules, pass a proctored examination (minimum 75%), and submit a complete agricultural data analysis project — including cleaned dataset, descriptive statistics, regression analysis, and a 1,500-word technical report.

Agricultural Economist, Rural Development Researcher, Food Security Analyst, M&E Officer (Agricultural Projects), CGIAR Research Associate, NGO Programme Analyst, FAO/World Bank Consultant, Policy Analyst. Average starting salary: $45,000–$85,000 USD.