Introduction to Theories of Public Policy Decision Making Activities.

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Introduction to Theories of Public Policy Decision Making Activities

Transcript of Introduction to Theories of Public Policy Decision Making Activities.

Page 1: Introduction to Theories of Public Policy Decision Making Activities.

Introduction to Theories of Public Policy

Decision Making Activities

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Outline

The Policy Process Model Six Decision Making Models Decision Making in the Real World

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The Policy Process

Process Activity Participants

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Problem Identification

Activity Publicizing societal problems Expressing demands for government action

Participants Mass media Interest groups Citizen initiatives Public Opinion

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Agenda Setting

Activity Deciding what issues will be decided Deciding what problems will be addressed by

government

Participants Mass media Elites Parties Candidates for elective office

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Policy Formulation

Activity Developing policy proposals to resolve issues

and ameliorate problems Participants

White House staff Congressional committees Interest groups Think tanks

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Policy Legitimation

Activity Selecting a proposal Developing political support for it Enacting it into law Deciding on its constitutionality

Participants President Congress Courts

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Policy Implementation

Activity Organizing departments and agencies Providing payments or services Levying taxes

Participants President and White House staff Executive departments and agencies

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Policy Evaluation

Activity Reporting outputs of government programs Evaluating impacts of policies on target and nontarget

groups Proposing changes and reforms

Participants Executive departments and agencies Congressional oversight committees Mass media Think tanks

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Decision Making Models

Cost-Benefit Analysis Multiobjectives Models Decision Analysis Systems Analysis Operations Research Nominal Group Techniques

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Cost Benefit Analysis

In an era of scarcity, interest in weighing cost against benefits rises Measurement of costs and benefits The distributional impacts The discount factor, and The decision rules

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Multiobjectives Models

Recognition that there are multiple objectives in the policy and administrative processes Need to calculate the relative importance or

weight of various objectives

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Decision Analysis

Recognition that a decision is not viewed as isolated because today’s decision depends on the ones we shall make tomorrow

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Systems Analysis

This approach forces us to look at problems as systems; assemblies of interdependent components; 4 basic steps: Problem formulation Modeling Analysis and optimization Implementation

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Operations Research

Here the scope of decision making is narrower: Concerned with problems that can be

represented by mathematical models to be optimized

Concerned with relatively small problems

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Nominal Group Techniques

Advantages— bring together broader perspectives for defining

the problem, more knowledge and information, easier to implement (buy-in)

Disadvantages— time consuming, expensive, lead to

compromise solutions or reduction of valuable dissenting opinions (groupthink), no clear focus for responsibility if things go wrong

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Nominal Group Techniques

When to use a group— problem is uncertain, complex, or has the potential

for conflict; requires interagency or intergroup cooperation; problem and its solution have important personal

and organizational consequences; significant, but not immediate deadline pressures,

widespread acceptance and commitment are critical to successful implementation

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Decision Making in the Real World Decision Making in Times of Crisis Biases in Decision Making

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Decision Making in Times of Crisis Demonstrated that decision making is a very

human affair involving far more than objective analysis

Important decisions often made by groups, not individuals

Not an entirely rational process Some participants more rational than others Real limitations to applying a rigorous approach to

every facet of a problem

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Biases in Decision Making

Bounded rationality—people have limits or boundaries on how rational they can be

Satisficing—decision makers choose the first solution alternative that satisfies minimal decision criteria

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Biases in Decision Making

Seeing only one dimension of uncertainty, Giving too much weight to readily available

or recent information Being overconfident Ignoring the laws of randomness Being reluctant to audit and improve

decision making