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INTRO TO PUBLIC POLICY COMPLETE CLASS NOTES - ALL MODULES

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The Only Study Guide You’ll Need for Exams, Essays, and Class Participation These comprehensive Introduction to Public Policy (PUP3002) notes provide a clear, organized, and deeply detailed breakdown of every major concept covered in the course. Designed for students who want to understand—not just memorize—public policy, these notes translate complex theories into accessible explanations supported by examples, diagrams, and structured summaries. Perfect for exam prep, assignments, and weekly review, this document covers the full semester from foundational concepts to advanced applications in governance, bureaucracy, and scientific inquiry.

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Uploaded on
January 14, 2026
Number of pages
67
Written in
2025/2026
Type
Class notes
Professor(s)
David foster
Contains
All classes

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Intro to Public Policy Notes

CONCEPTUAL FOUNDATIONS
Module A: Introduction
-​ What is democratic public policy?
-​ What is public policy?
-​ Explaining why the government acts (or fails to act), when it does, and what the
consequences of such actions are
-​ Politics v. policy?
-​ Politics is all about the contestation that leads to the selection of a policy
-​ Policy = once a law is passed, how are changes implemented? What
consequences do they have?
-​ What is democracy?
-​ Rule by the people or representatives elected in free and fail elections by the
people
-​ Benefit? Challenge?
-​ Benefit = there is some degree of responsiveness to the popular will
-​ Benefit = democracies don’t generally go to war with other democracies
-​ Challenge = can be considered messy, whereas an authoritarian regime
can just make a decision and act fast / pursue unpopular policies
-​ In a democracy there are many interest groups, business elites, etc. and
all these different people with different interests have to be balanced
-​ What is democratic public policy?
-​ Government action that is responsive to majority preferences
-​ Opportunities and challenges
-​ Opportunities
-​ Preference identification - create policies that have something to do with what
people want
-​ Agenda setting - it’s not just how do we answer the question of some policy, it’s
which policies do we even talk about in the first place
-​ Alternative specification
-​ Implementation - what bureaucrats do we hire, what regulations do we write,
what incentives do people have to follow a policy, etc.
-​ Evaluation - once a policy is in place, how do we evaluate it? How do we look at
the results and say this is successful or this is not successful?
-​ Challenges
-​ Preference aggregation dilemmas
-​ Delegation dilemmas
-​ Credible commitment dilemmas
-​ Bargaining dilemmas
-​ Cooperation and coordination dilemmas
-​ Our approach
-​ An analytic approach
-​ Individuals are the foundational decision-making agents

, -​ Individuals maximize their own utility
-​ Institutions (rules or norms governing processes and choices in an issue area)
create incentives that influence individual choices
-​ Individuals have limited information
-​ Public policy outcomes are the product of social interactions
-​ The scientific method
1)​ Ask a question - think of an outcome, which varies, that you wish to explain
2)​ Form a theory that is able to explain variation in the outcome
3)​ Derive a hypothesis, or a testable statement, from the theory
4)​ Test the hypothesis
5)​ Analyze the data to assess the hypothesis’ validity
-​ Public policy models
-​ Why study public policy? Three reasons:
-​ Hold government accountable
-​ Increase efficiency
-​ Increase equity
-​ The process
-​ Governance in the US is complex, but preferable to authoritarianism for
achieving our three goals - but there is often still a gap between majority
preferences and outcomes
-​ Defining problems and solutions, and policy entrepreneurship
-​ Stakeholders, collective action problems, “dominant policy images” (frames),
and policy demands
-​ Policy windows and agenda setting (ex. Affordable Care Act)
-​ Choosing a policy
-​ Considerations:
-​ Policy effectiveness
-​ Cost
-​ Technical feasibility
-​ Political feasibility
-​ Implementation
-​ Regulatory Agency
1)​ Bureaucracy engages in rulemaking
2)​ Bureaucracy enforces rules
-​ Non-Regulatory Agency
-​ Provide service to a clientele
-​ Models of public policy
-​ A model is a statement of how policy inputs lead to outputs
-​ A causal relationship: if X, then Y; if not X, then not Y (X has to make the
difference for Y
-​ Necessary v. sufficient - X is necessary for Y if Y only happens if X is present; X
is sufficient for Y if Y always happens whenever X is present
-​ Conditional causality: inputs might have different effects on outputs depending
on whether some third factor is present

, -​ Deterministic v. probabilistic - we’re going to think in terms of probabilities and
in errors across data sets, not in deterministic relationships
-​ Elements of a good model
-​ Multivariate
-​ Probabilistic
-​ Parsimonious
-​ Generalizable
-​ Falsifable
-​ Clear and logically consistent
-​ Ideologically neutral

Module B: Individuals and Social Dilemmas
-​ Game Theory
-​ Game Theory → a mathematical tool to study strategic decision making
-​ Decision Theory → the study of how actors make decisions
-​ Exogenous → externally determined - the actor’s decisions have no impact on exogenous
factors
-​ Endogenous → internally determined - the actor’s decisions have an impact of
endogenous factors
-​ Game Theory is concerned with endogenous relationships
-​ Game Theory attempts to answer a basic question - conditional on what an actor expects
others to do, what choice will a self-interested actor make?
-​ Individual Action
-​ Society is composed of individuals
-​ Individual choice and individual preferences have implications for group decisions
-​ Personal Utility Maximization
-​ Rational Choice: “patterns of behavior in societies reflect the choices made by
individuals as they as they try to maximize their benefits and minimize their costs”
-​ To make a rational choice, an actor must be able to discern the following:
-​ See all possible choices
-​ Weigh the costs and benefits of all choices
-​ Express and pursue what they deem best
-​ Comparing Alternatives: Utility Functions
-​ If an actor is “rational” they will select the choice that gains them the highest utility
-​ Utility of actor A = U(a)
-​ Ordinal Preferences = Rank Preferences
-​ Ex. A=2, B=1; B is preferred to A
-​ Cardinal Preferences = Continuous Valuation
-​ Ex. A=2, B=1; A is preferred TWICE AS MUCH as B
-​ Between any two items in a set, preferences can be…
-​ Strictly preferred
-​ Weakly preferred
-​ Indifferent
-​ In order to be rational, preferences must be:

, -​ Complete
-​ Transitive: If A>B and B>C, then A>C
-​ Cooperation Problems
-​ Scenario
-​ Two loggers (A and B)
-​ They are cutting down trees in a rainforest
-​ Two choices:
-​ Cooperate = sustainably cut down trees
-​ Defect = cut down a ton of trees
-​ Actor Behavior
-​ The players act alone (not together)
-​ Each actor wants to maximize their utility
-​ In light of what the other actor does, how can I maximize my payoffs?
-​ Nash Equilibrium → set of strategies such that no player can unilaterally improve their
position given the other player’s action
-​ Essentially the Nash Equilibrium reveals both players’ best response given the
other’s action
-​ Assigning Payoffs
-​ Situation 1
-​ If both players cooperate: the forest is preserved and both collect a good payoff
-​ Situation 2
-​ If 1 player defects and the other cooperates, the defector collects a large share of
the first profits while bearing none of the costs
-​ The other bears the costs of commitment but receives none of the benefits
-​ The forest is harmed
-​ Situation 3
-​ If both players defect, the forest is destroyed and the payoffs for each player
suffers
-​ Game Solution
-​ The Nash Equilibrium is Defect, Defect
-​ Implication
-​ Both individuals and society would have been better off if they had both
cooperated
-​ Instead the forest is destroyed and they are harmed
-​ Overcoming Cooperation Problems: Repeated Interaction
-​ An unrealistic expectation of the previous game is that it occurs only once
-​ In many real-world scenarios games are played repeatedly over time
-​ How much individuals value gains NOW, versus GAINS LATER - gains later determines
how effective future interactions will yield short term success
-​ Discount Factor
-​ The degree which people discount future benefits relative to current ones
-​ Ranges from 0-1 → 0 = no value for the future, 1 = value future gains equally
-​ Present value: How much is a promise of a future gain worth to you now?
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