This course explores the role of government in the economy, focusing on why and how governments intervene in markets. It covers public goods, externalities, taxation, public expenditure, and the impact of government policies on efficiency and equity. The course also examines fiscal policy, budgetary processes, and the economics of the public sector.

By the end of this course, you should able to:

1. Define key concepts and principles of public sector economics

2. Explain the rationale for government intervention in addressing economic challenges 

3. Apply public sector economic theories to analyses government policies in real-world scenarios

4. Analyze the impact of fiscal policies, public debt, and governance reforms on economic equity, efficiency, and development of economies.

Introduction to MEAL; MEAL definitions and principles, Historical evolution of MEAL, MEAL in development and humanitarian contexts, Overview of MEAL frameworks. 

Monitoring Fundamentals; Process vs. results monitoring, Monitoring tools and techniques, Indicator development (input, output, outcome), Monitoring plans and data collection schedules. 

Evaluation Approaches and Design; Formative, summative, impact, and developmental evaluations, Theory-based vs. experimental designs, Evaluation questions and criteria (relevance, effectiveness, efficiency, sustainability, impact), Evaluation matrix and terms of reference (ToR). 

Accountability in MEAL; Downward vs. upward accountability, Feedback loops and complaint response mechanisms (CRM), Ethical considerations and power dynamics, Community engagement and transparency.

 Learning and Adaptive Management; Learning loops and reflective practice, After-action reviews and pause-and-reflect sessions, Knowledge management strategies, Linking MEAL to decision-making. 

Indicators and Logical Frameworks; Indicator types and quality criteria, Log frame structure: goal, purpose, outputs, activities, Assumptions and risks, linking indicators to data sources and means of verification.

 Data Collection and Management; Surveys, interviews, focus groups, observation, Sampling techniques and bias mitigation, Mobile data collection and digital tools, Data quality assurance and storage protocols. 

Data Analysis and Reporting; Quantitative analysis (descriptive stats, trends), Qualitative analysis (coding, themes, narratives), Visualization tools (charts, dashboards), Writing MEAL reports and presenting findings. 

Emerging issues in MEAL Practice: Case Studies and Tools; MEAL case studies (health, education, climate, governance), Tools: Results Framework, Theory of Change, PIRS, Common challenges and mitigation strategies, MEAL in fragile and emergency settings.