PA Final Exam Review
Part 1: Concept Identification
Ideology
Definition: An individual’s beliefs and values about the role of government, society, and the economy.
Significance: Ideology shapes how policymakers interpret problems and what solutions they think are legitimate. For example, someone with a strong free-market ideology may see government regulation as harmful, while someone with a social-democratic ideology views it as essential. Ideological frameworks guide agenda-settings, budget priorities, and the range of policies considered “acceptable.”
“Big” and “Small” government
Definition: “Big” government refers to an expansive, active government that provides many services and regulations. “Small” government emphasizes limited intervention, lower taxes, and fewer public programs.
Significance: These labels influence debates about spending, regulation, and the size of the welfare state. They act as political shortcuts, people use them to judge whether a policy fits their values. For example, expanding Medicaid is often framed as “ bigger” government, which can shape support or opposition regardless of the policy’s details.
Types of Economic Goods
Definition: Economic goods are categorized based on rivalry (whether one person’s use diminishes availability) and excludability (whether access can be restricted). The four types are:
Private goods (rival, excludable)
Public goods (non-rival, non-excludable)
Common-pool resources (rival, non-excludable)
Club/toll goods (non-rival, excludable)
Significance: Different types of goods require different governance strategies. Public goods often need government provision because markets underproduce them. Common-pool resources need regulation to prevent overuse. Understanding the type of good helps policymakers choose tools like taxation, regulation, privatization, or user fees.
Types of K-12 Schools
Definition: Common types include traditional public schools, charter schools, magnet schools, private schools, and homeschooling. These differ in governance, funding, admissions rules, and curriculum flexibility.
Significance: Each type raises different debates about equity, accountability, parental choice, and public funding. Charter schools, for example, challenge traditional district control and prompt questions about oversight. Policy choices about school types can shift resources, alter student demographics, and change educational outcomes.
Bicameralism
Definition: Bicameralism is a legislative structure with two chambers—often a “lower house” and an “upper house.”
Significance: t slows policymaking by requiring two bodies to agree, which encourages compromise but also increases gridlock. It provides an internal check within the legislature and can represent different constituencies (e.g., population vs. geography).
Legislative Professionalism
Definition: The degree to which a legislature functions as a full-time, well-paid, well-staffed institution rather than a citizen or part-time body.
Significance: More professionalized legislatures can generate more complex policy, conduct greater oversight, and rely less on lobbyists. Less professionalized bodies may be cheaper but often depend heavily on interest groups and the executive branch for information.
Judicial Review
Definition: The power of courts to interpret the constitutionality of laws or executive actions.
Significance: It allows courts to overturn or constrain policies passed by elected branches, making the judiciary a major policymaking actor. It affects how laws are written—legislators try to craft policies that can survive judicial scrutiny.
Homo Econmicus
Definition: A theoretical model of humans as perfectly rational, self-interested decision-makers with full information.
Significance: Many economic models and policy tools—like cost-benefit analysis—assume this behavior. But because real humans are imperfect, policies based solely on homo economicus can misjudge how people actually respond (e.g., saving, voting, or complying with rules).
Heuristics
Definition: Mental shortcuts or rules of thumb people use to make quick decisions without processing lots of information.
Significance: Heuristics shape public opinion and voting. Policymakers also use them, which can lead to biased assessments of risk or evidence. Understanding heuristics helps design better policies and “nudges” that align with real human behavior.
Political Acceptability
Definition: How likely a policy is to gain support or at least avoid strong opposition from voters, interest groups, and elected officials.
Significance: A policy can be technically brilliant but still impossible to implement if it’s politically toxic. Policymakers factor in public opinion, framing, and coalition-building to make proposals viable. Acceptability often determines what gets on the agenda.
Administrative Feasibility
Definition: How practical it is for agencies to implement a policy given their capacity, resources, legal authority, and technical ability.
Significance: Policies that look good on paper can fail if agencies can’t execute them. Considering feasibility early helps avoid designs that are too complex, costly, or hard to enforce. It shapes decisions about funding, staffing, and regulatory detail.
Measurement
Definition: The process of defining, observing, and quantifying variables—turning ideas into measurable indicators.
Significance: Measurement determines how problems are understood and whether policies appear successful. Poor metrics can mislead decision-makers, distort incentives, or produce unintended consequences. What gets measured often drives what gets prioritized.
Representativeness of a Sample
Definition: The extent to which a sample mirrors the characteristics of the larger population it’s meant to reflect.
Significance: Representative data leads to accurate conclusions about public needs or program outcomes. Biased samples can produce flawed evidence, feeding into bad policy decisions—e.g., surveys that only capture politically active groups.
Randomized Control Trials
Definition: A research method where participants are randomly assigned to a treatment or control group to isolate a causal effect.
Significance: RCTs are considered a “gold standard” for causal inference. They help policymakers identify which programs actually work. However, they can be costly, ethically complicated, and sometimes limited in generalizability.
Part 2: Group Identifications
Democracy – Authoritarianism – Democratic Backsliding
Definitions: Democracy is a political system in which leaders are chosen through free and fair elections, political rights are protected, and institutions constrain power. Authoritarianism is a system where power is concentrated in a leader or small group, elections are limited or manipulated, and civil liberties are restricted. Democratic backsliding is the gradual erosion of democratic norms and institutions, often through legal or administrative changes rather than sudden coups.
Joint Significance: These concepts sit on the same spectrum of political power: backsliding describes the movement from democracy toward authoritarianism. Policymakers care because backsliding often happens through subtle tools—changing election rules, weakening courts, restricting media—rather than open takeovers. Understanding this trio helps identify early warning signs and design institutional guardrails (like independent courts or electoral oversight) that slow the slide toward authoritarian governance and protect equal political participation.
Supremacy Clause – Federalism – Preemption
Definitions: The Supremacy Clause establishes that the U.S. Constitution and federal laws override conflicting state laws. Federalism divides authority between national and state governments. Preemption occurs when federal law explicitly or implicitly blocks states from regulating in a certain area.
Joint Significance: Together, these concepts shape who has the power to make policy. Federalism allows states to innovate or represent local preferences, but the Supremacy Clause means states lose when they conflict with federal authority. Preemption is the mechanism that settles these conflicts. This trio explains why policy areas like immigration, drug regulation, or environmental rules often spark fights: states may want to go their own way, but federal action can override them. Understanding the interplay clarifies how power shifts can expand or limit rights depending on which level of government acts.
Descriptive Representation – Essentialism – Majority Minority Districts
Definitions: Descriptive representation means elected officials physically or socially resemble the groups they represent (e.g., by race or gender). Essentialism is the incorrect assumption that all members of a group share the same interests or priorities. Majority-minority districts are electoral districts where racial or ethnic minorities make up the majority of voters.
Joint Significance: These concepts explore representation and its trade-offs. Creating majority-minority districts can promote descriptive representation, helping historically marginalized groups elect officials who look like them. But essentialism warns against assuming that shared identity always produces shared political behavior or benefits. Policymakers must balance the benefits of representation and voting rights protections with the risk that overreliance on identity categories can unintentionally pack minority voters, reduce influence statewide, or oversimplify group interests.
Expressed/Enumerated Powers – Concurrent Powers – Reserved Powers
Definitions: Enumerated powers are the specific authorities granted to the federal government by the Constitution. Concurrent powers are powers shared by federal and state governments, like taxation. Reserved powers are those not given to the federal government and instead left to states under the Tenth Amendment.
Joint Significance: Together, these powers form the backbone of American federalism. Because responsibilities overlap, policy areas like education, criminal law, and public health often involve intergovernmental negotiation. The balance affects who controls funding, enforcement, and regulation. When national crises—like pandemics or economic recessions—hit, disputes over which level can act quickly arise. Understanding these categories helps explain recurring conflicts over mandates, state autonomy, and federal authority.
Bounded Rationality – Prospect Theory – Dual-Process Theory
Definitions: Bounded rationality suggests people want to be rational but are limited by time, information, and cognitive capacity. Prospect theory explains that people evaluate decisions based on gains and losses relative to a reference point and are loss-averse. Dual-process theory argues decision-making comes from two systems: a fast, intuitive system and a slower, analytical one.
Joint Significance: Together, these theories undermine the idea of perfectly rational decision-makers and highlight why policy must account for human psychology. They show why people may resist beneficial programs, misjudge risks, or stick with the status quo. Policies that assume rational calculation (like some tax incentives) may fall flat, while policies designed with behavioral insights (like defaults or nudges) align better with actual behavior. This trio helps policymakers predict biases and design more effective interventions.
Equality – Equity – Justice
Definitions: Equality means treating everyone the same or giving equal resources. Equity focuses on fairness by accounting for different needs and starting points. Justice refers to the broader principle of creating systems and rules that produce fair outcomes over time.
Joint Significance: The concepts form a hierarchy of fairness. Equality alone may ignore structural disadvantages, while equity tries to correct them through targeted support. Justice goes further by addressing the root causes of inequity so that future equality is possible. Policymakers must choose whether their goal is equal access, equitable outcomes, or structural reform—each leads to different methods, like universal programs vs. targeted programs vs. systemic change. The tension between these approaches shapes debates on schooling, health care, and criminal justice.
Matching – Difference-in-Differences – Regression Discontinuity
Definitions: Matching pairs treated and untreated units with similar observable characteristics to estimate causal effects. Difference-in-Differences (DiD) compares changes over time between a treatment group and control group. Regression discontinuity (RD) identifies causal effects by comparing units just above and below a cutoff in eligibility.
Joint Significance: All three methods aim to estimate causal impacts when randomized experiments aren’t feasible. Their differences reflect trade-offs: matching addresses selection on observables; DiD handles time trends; RD provides strong causal inference but only near a cutoff. Policymakers rely on these tools to evaluate what works—from education programs to labor policies—and their strengths and limitations affect how confident policymakers can be in adopting or scaling interventions.
Ambiguity Neglect – Externalities – Perverse Incentives
Definitions: Ambiguity neglect is when people ignore uncertainty and focus only on known risks. Externalities are costs or benefits imposed on others who are not part of a transaction. Perverse incentives occur when policies unintentionally encourage harmful or opposite behaviors than intended.
Joint Significance: These concepts show how imperfect decision-making interacts with poorly designed policies. Ambiguity neglect can cause people or policymakers to overlook uncertain long-term impacts, increasing the likelihood of externalities. Meanwhile, perverse incentives can magnify those externalities—like pollution, fraud, or risk-taking—when policies fail to anticipate real-world behavior. Understanding this trio helps policymakers craft smarter incentives, acknowledge uncertainty, and minimize unintended consequences.
Qualitative Research – Quantitative Research – Mixed-Methods Research
Definitions: Qualitative research uses interviews, observations, and text analysis to understand meaning, context, or processes. Quantitative research uses numerical data and statistical analysis to measure patterns and test hypotheses. Mixed-methods research combines the two approaches.
Joint Significance: Together, these approaches provide a more complete understanding of policy problems. Qualitative work explains the “why” and “how,” while quantitative work estimates magnitude or relationships. Mixed-methods designs bridge their strengths, allowing policymakers to understand human experiences and also measure outcomes rigorously. Using multiple forms of evidence often leads to more credible and actionable policy decisions.
Causation – Counterfactuals – Spurious Correlation
Definitions: Causation means one factor directly produces a change in another. A counterfactual is the hypothetical scenario that describes what would have happened without the cause. A spurious correlation is a misleading association caused by a third, unobserved variable.
Joint Significance: These concepts form the core of causal inference. To claim causation, you must compare outcomes to a valid counterfactual, and you must rule out spurious correlations. Policymakers rely on causal claims to justify interventions—like whether a training program reduces unemployment or a tax credit changes behavior. Misinterpreting correlations as causation can lead to wasted money or harmful policies, making careful evaluation essential.
Efficiency – Cost-Benefit Analysis – Cost-Effectiveness Analysis
Definitions: Efficiency means achieving the greatest benefits with the least cost or using resources optimally. Cost-benefit analysis (CBA) quantifies both costs and benefits of a policy in monetary terms to judge whether benefits outweigh costs. Cost-effectiveness analysis (CEA) compares the cost of policies relative to a non-monetary outcome (like lives saved or test scores gained).
Joint Significance: All three concepts help policymakers allocate limited resources. CBA evaluates whether a policy is worth doing at all, while CEA compares alternative ways to reach the same goal when benefits can’t be monetized easily. Both aim at efficiency but differ in the types of outcomes they value. Together, they guide decisions in public health, education, transportation, and more—balancing fiscal constraints with social goals and identifying policies that deliver the biggest impact for the resources used.