The field of public policy analysis entails a systematic examination of decision-making processes and outcomes within the public sector. It is a specialized area of political science that investigates the creation, formulation, implementation, and evaluation of government policies.

The goal of the Public Policy Analysis course is to enhance participants' analytical skills and decision-making abilities by providing a solid foundation in the fundamental concepts and theories of public policy analysis. Emphasis is placed on the analytical methods and techniques employed by analysts and policymakers.

This course equips participants with the necessary tools for conducting public policy analysis and introduces them to both quantitative and qualitative data collection methodologies. Additionally, participants have the opportunity to apply these skills in a real-world case study, gaining a deeper understanding of the challenges associated with performing public policy analysis.

Upon completion of this course, participants will possess a strong understanding of the various tools used by policymakers worldwide. They will also have gained practical experience in applying these techniques through the analysis of diverse case studies.

Course Objectives:

At the end of the Policy Analysis course, participants will be able to:

Improve their skills in developing and executing public policies and developing practical solutions that may be used to public policy initiatives or inside the company in which they work.
Create analytical frameworks for critical thinking when developing public policy.
Gain a firm grasp of quantitative tools and research methodology for undertaking evidence-based impact evaluations, as well as practical public policy communication skills.

Who Should Attend?

Individuals want to use their expertise in evidence-based policy formulation, monitoring, and evaluation.
Program managers who want to improve their operations management abilities.
Project managers in charge of creating and implementing projects.
Those seeking to build or improve their public policy analysis abilities or improve the quality of their policy work.
Individuals that collaborate with governments and departments to enhance operations and priorities.

Course Outlines:

The significance and goals of public policy

• Using game theory to analyze public policy.

• Understand the importance of public policy in society.

• Understand the significance of theoretical and empirical models in understanding public policy.

• Goals of public policy

• Recognizing market failures.

• Distinguishing between public and private goods.

Interactions between people and strategic interactions

• Determine the rationality assumption.

• Explain the concept of limited rationality and its importance in studying human behavior.

• Explain the fundamental notions of balance.

• Be familiar with typical strategy games.

• Factors that contributed to the collapse of negotiating.

Institutions and public policy

• How businesses may respond to market failures.

• Fundamental institutional theory prerequisites

• Justifications for agency inactivity and evasion.

• Outlines the broad policy answers to the manager's and agent's challenges.

• Vertical and horizontal integration costs and advantages

• How institutions may solve issues of public policy.

Quantitative abilities in public policy

• Data analysis and description methods, as well as acquiring the fundamental logic underpinning statistical analysis

• Basic statistical ideas.

• Be familiar with probability distributions and the central limit theorem.

• The connection between statistical uncertainty and public policy.

• The significance of regression and its relationship to public policy issues.

• Apply statistical knowledge to interpret policy statements.

Evaluation of Public Policy

• Key concepts in effective assessment and experimental design.

• The fundamental difficulty of causal inference.

• Emphasize the significance of effect evaluation in public policy.

• Difficulties in performing impact evaluations.

• Evaluation of the experimental design to d

Filters