Title: PPA786: Urban Policy
1PPA786 Urban Policy
- Class 3
- Evaluating Social Programs
2PPA786, Class 3 Evaluating Social Programs
- Class Outline
- Positive vs. normative analysis
- The role of program evaluation
- Basic principles of program evaluation
- Program evaluation and decision making
3PPA786, Class 3 Evaluating Social Programs
- Positive vs. Normative Analysis
- Positive analysis How do people behave?
- How are prices and quantities determined in a
particular market? - What is the impact of a particular government
program and peoples behavior? - If the necessary data are available, positive
statements can be tested .
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- Positive vs. Normative Analysis
- Normative analysis What is a good outcome?
- What are the appropriate objectives for
government intervention in a given market? - Which objectives are the most important?
- Normative statements cannot be tested, but they
certainly can be debated!
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- The Role of Program Evaluation
- Government programs change behavior.
- You cannot determine whether the outcome of a
government program meets your own objectives
without determining how it changes behavior. - Program evaluation is necessary to identify the
programs that best meet you own objectives!
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- What is the basic problem facing someone wanting
to evaluate any public program? - What you want is to know how one place differs
with and without the program. - What you observe is either (a) what the world is
like after and before the program or (b) what one
place is like with the program and another is
without it. - Thus, you cannot be sure that the effects you
observe are not due to non-program differences
over time or across places.
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- What is the basic problem facing someone wanting
to evaluate any public program? - Another way to put this is that the great
challenge of any program evaluation is to
identify the counterfactual, that is, to
identify what would have happened if the program
had not been implemented. - The counterfactual cannot be observed directly,
so all evaluation methods are attempts to
estimate the counterfactual in an unbiased way.
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- Example (from Hollister)
- Consider a program that provides training and
counseling to improve participants
employability. - Suppose a high share of previously unemployed
participants become employed after leaving the
program. - Does this evidence indicate that the program is
effective?
9PPA786, Class 3 Evaluating Social Programs
- Example (continued)
- Answer No!
- People tend to move from unemployment to
employment over time, and programs tend to select
people who are unemployed. - So the increase in employment may reflect the
natural process of moving to employment, not
program impact. - This is called regression to the mean.
- Local labor market conditions might have improved
at the time the program was implemented. - So the increase in employment might reflect
factors other than the impact of the program. - This is called omitted variable bias.
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- The two ways to estimate program impacts are
- random assignment
- statistical control.
- Random assignment ensures that differences across
time and place are not correlated with program
participation. - Statistical controls can account for observable
differences across place or time and for certain
kinds of unobservable factors.
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- Random assignment is the preferred method in most
cases. - It provides results that are intuitively
compelling and scientifically sound. - If you want to know a programs impacts, become
an advocate for evaluation using random
assignment!
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- Random assignment can be applied at many
different scales. - Some evaluations randomly assign treatment to
individuals. - Others randomly assign treatment to organizations
(firms, schools, etc.) - Still others randomly assign treatment to
communities.
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- Random assignment has been used to study
- Welfare-to-work programs
- Unemployment insurance
- Job training
- Income maintenance
- Housing assistance
- Electricity pricing
- Education
- Early childhood development
- Criminal justice policy
- Child health and nutrition
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- Random assignment is not always feasible.
- A huge literature indicates that the best
statistical studies - must have extensive data to ensure that
differences arent due to unobservable factors. - must have comparable experimental and control
groups based on observable factors.
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- For the case of community economic development
programs, Hollister discusses several evaluation
that do not use random assignment. - This discussion gives you a sense of what to look
for in statistical studies. - You may want to return to it when we discuss
community economic development!
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- Formal evaluation of programs or management
reforms are often not available. - Thus, it is appropriate for you (when you become
public officials!) to use your own judgment - to select programs and reforms that appear to
have worked in other places - to design new programs and reforms
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- Evaluations of intermediate results can also be
helpful. - Here is the figure in Hollister
- Your Planned Work Your Intended Results
Impact
Resources/ Inputs
Activities
Outputs
Outcomes
1
2
4
3
5
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- But evaluation should always be in the back of
your mind. - Search for evaluations of the programs or reforms
you are interested in. - Make an honest judgment about the quality of
existing evaluations. - Informally apply basic evaluation principles to
programs and reforms you are considering. - Implement formal evaluations whenever possible!
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- Informal Evaluations
- Informal evaluations can be very helpful.
- Learn about the market in which the program will
operatethat is about the economic and social
factors that influence the behavior of market
participants. - Think about how various government programs
change the incentives of people in this market. - Use your understanding from other cases to make
an educated guess about the impact of these
changes in incentives on behaviorand hence on
your objectives.
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- The Punchline (from Hollister)
- People who want to know whether programs have an
impact on the outcomes they care about - should not be asking programs to prove this when
there is not an available method that meets a
high proof standard. - At the same, they should not be persuaded by
flawed estimates that are offered as proof.