The Nature of Public Problems
Classical Rational
Problem Solving Model
Limitations in the Public
Sector
Case Studies in Policy Analysis
Tips for Practical Policy
Analysis
Theoretical Model | Public Sector Limitations |
1) Define the problem | 1) Problems are interlined |
2) Determine important social values | 2) No agreement on social values |
3) Identify all alternatives | 3) Limited time, knowledge |
4) Assess all alternatives on all values | 4) Limited resources, lack of predictability |
5) Select optimal alternative | 5) Pressure to select the first good solution |
6) implement optimal alternative | 6) Short time horizon to produce results |
With these limitations, there is a need for the development of a model of policy analysis that can address public sector problems. But policy analysis differs from traditional research as well.
Traditional research is concerned with broad, theoretical,
complex questions. It uses explicit scientific steps and invariant procedures.
Policy analysis, on the other hand, is practical, situational and flexible.
It addresses local problems and focuses on making decisions. It is more
craft or art than science.
Traditional Research | Policy Analysis |
Seeks "truth" | Is practical |
Explicit steps and procedures | Flexible, situational |
Addresses broad questions | Addresses local problems |
Focus on complexity | Focus on decision-making |
Science | Craft |
A new approach is needed to learning in this area. This approach is offered by case studies. Case studies link problems to a reality; they offer the opportunity for the application of policy analysis techniques in a concrete context.
The way information is remembered and use is linked
to the way it is learned. Case studies provide cues to the types of techniques
that are needed to approach a solution to the problem. These cues help
policy analysts learn multiple approaches to learning and to problem solving.
2) Identify what types of public sector actions can be taken
(Taxing, spending, sanctions, incentives, moral suasion, education?)
3) Avoid the "one best way" approach
(Have many tools in the tool box, not just one)
4) Learn how to deal with uncertainty
(Admit it, estimate its possible effects)
5) Say it with numbers
(Charts, graphs, tables, maps, etc.)
6) Make the analysis simple and transparent
(Provide details in a technical appendix)
7) Check and re-check the facts
(Use multiple sources of facts, triangulation)
8) Learn to anticipate the objections of opponents
(Improves the ultimate product)
9) Give analysis, not decisions
(Distinguish between analysis and advocacy)
10) Push the boundaries of the envelope
(Expand the problem definition; introduce novel solutions)
11) Policy analysis is never 100% complete, rational, and correct
(How much time, money, and personnel is available to do the job?)