Public policies are generally seen as the law systems, some courses of action, regulatory measures, and
funding of some priorities that concern a given topic promulgated by the help of a government entity or
by its representativeness. The evaluation of public policies is considered as one of the challenging
exercises, institutionally and technically. From the technical perspective, it is due to the number
of pitfalls waiting for the evaluator. For example, the correlation between a specific policy and
the results if the policy does not mean causality as the evaluator also needs to consider the
interactions and reverse causalities that get seen to be between the policies that are under
consideration and the other multiple factors. They also need to be aware that a specific measure's
ultimate beneficiary does not necessarily have to be the targeted person. Policies, on the other
side, may have several effects that sometimes get far removed from the initially targeted field.
Various statistics technique has made it possible for working around the issue. The key is to
reconstruct what could have happened if the inaction policy is not coming into being. In cases
where there is no possibility of genuine experimentation, the researchers get to make good use of
the existing discontinues that are in the public policy, despite the policy being implemented in
some successive stages, or in cases where it is applied with some thresholds where there is a
comparison if the individuals or the businesses that are on the threshold side.
On the other hand, it isn't easy to implement evaluation because it is only a thorough protocol
that gets defined where there are some possible priors of implementing the policies and gives
credible evaluations. The protocol plays the role of ensuring the evaluators are independent and
have access to the data needed for evaluation. Additionally, it needs to make some provisions as
this needs to be done for an open discussion period of the results and hypothesis within an
interdisciplinary framework. It also needs to allow the evaluators the opportunity of publishing
their results freely and consulting with the other experts. A credible evaluation takes time, and
having an independent and reliable examination shows that time-saving can be made
subsequently in making decisions.
On 18th December 2012, the public policies' modernization announced how all public policies
should get evaluated through ought five years (Dunn, 2015). The accumulation of the measures
over decades show how evaluating public policies is complicated in understanding at present as
it probably conceals some obsolete policies where the initial objectives have gotten attained, as
they are inefficient, which means there is poor attainment of the objectives, and misdirected
, which shows in practice, it serves other purposes apart from those that are designated. Overall, it
is considered costly, especially for the public finances, as it lacks some democratic transparency.
This makes it legitimate in seeking to evaluate each of the policies on a case-to-case bias. This
paper will start by examining the evaluation methods that make it possible to evaluate public
policies. It will also set out some requirements regarding statistical data.
Evaluation methods
Sound evaluation has been considered to be designed in principle before the public policy
implementation for the following reasons. The first one is its need to be based on some of the
expected impacts and experimentation cases. The modes of implementation also need to get
determined in more detail. The last one is that there is a need to determine the subsequent policy
evaluation methodology.
When an evaluation is ideal, it consists of a comparison of the arising situations, especially from
public policy, as this needs to be with a hypothetical situation which may have arisen in cases
where the policy has not come into being with the socioeconomic environment aspects belong
counterfactual (McAllister, 1982). Although, this is considered to be impossible. The situation
that arises from public policy is considered observable, as this is not the same case for
counterfactual situations. Therefore, the difficulty faced in evaluation resides in reconstructing
what would have happened, especially in the public policy absence.
Random experimentation
In most cases, a significant evaluation difficulty is linked to the fact that the individuals or
businesses targeted by the public policy are not randomly taken from the population. For
instance, they get to possess health below the average or employability below the average. One
way to get around the problem is by conducting some random experiments where a group of
individuals or some businesses can get selected through some random drawings. They can also
get applied as a policy, as the other group involves the control group. When the selection is
random, especially from a large population, it makes sure the treatment and control groups can
be comparable. In this case, the access to policies should not get dependent upon the
characteristics of individuals.
funding of some priorities that concern a given topic promulgated by the help of a government entity or
by its representativeness. The evaluation of public policies is considered as one of the challenging
exercises, institutionally and technically. From the technical perspective, it is due to the number
of pitfalls waiting for the evaluator. For example, the correlation between a specific policy and
the results if the policy does not mean causality as the evaluator also needs to consider the
interactions and reverse causalities that get seen to be between the policies that are under
consideration and the other multiple factors. They also need to be aware that a specific measure's
ultimate beneficiary does not necessarily have to be the targeted person. Policies, on the other
side, may have several effects that sometimes get far removed from the initially targeted field.
Various statistics technique has made it possible for working around the issue. The key is to
reconstruct what could have happened if the inaction policy is not coming into being. In cases
where there is no possibility of genuine experimentation, the researchers get to make good use of
the existing discontinues that are in the public policy, despite the policy being implemented in
some successive stages, or in cases where it is applied with some thresholds where there is a
comparison if the individuals or the businesses that are on the threshold side.
On the other hand, it isn't easy to implement evaluation because it is only a thorough protocol
that gets defined where there are some possible priors of implementing the policies and gives
credible evaluations. The protocol plays the role of ensuring the evaluators are independent and
have access to the data needed for evaluation. Additionally, it needs to make some provisions as
this needs to be done for an open discussion period of the results and hypothesis within an
interdisciplinary framework. It also needs to allow the evaluators the opportunity of publishing
their results freely and consulting with the other experts. A credible evaluation takes time, and
having an independent and reliable examination shows that time-saving can be made
subsequently in making decisions.
On 18th December 2012, the public policies' modernization announced how all public policies
should get evaluated through ought five years (Dunn, 2015). The accumulation of the measures
over decades show how evaluating public policies is complicated in understanding at present as
it probably conceals some obsolete policies where the initial objectives have gotten attained, as
they are inefficient, which means there is poor attainment of the objectives, and misdirected
, which shows in practice, it serves other purposes apart from those that are designated. Overall, it
is considered costly, especially for the public finances, as it lacks some democratic transparency.
This makes it legitimate in seeking to evaluate each of the policies on a case-to-case bias. This
paper will start by examining the evaluation methods that make it possible to evaluate public
policies. It will also set out some requirements regarding statistical data.
Evaluation methods
Sound evaluation has been considered to be designed in principle before the public policy
implementation for the following reasons. The first one is its need to be based on some of the
expected impacts and experimentation cases. The modes of implementation also need to get
determined in more detail. The last one is that there is a need to determine the subsequent policy
evaluation methodology.
When an evaluation is ideal, it consists of a comparison of the arising situations, especially from
public policy, as this needs to be with a hypothetical situation which may have arisen in cases
where the policy has not come into being with the socioeconomic environment aspects belong
counterfactual (McAllister, 1982). Although, this is considered to be impossible. The situation
that arises from public policy is considered observable, as this is not the same case for
counterfactual situations. Therefore, the difficulty faced in evaluation resides in reconstructing
what would have happened, especially in the public policy absence.
Random experimentation
In most cases, a significant evaluation difficulty is linked to the fact that the individuals or
businesses targeted by the public policy are not randomly taken from the population. For
instance, they get to possess health below the average or employability below the average. One
way to get around the problem is by conducting some random experiments where a group of
individuals or some businesses can get selected through some random drawings. They can also
get applied as a policy, as the other group involves the control group. When the selection is
random, especially from a large population, it makes sure the treatment and control groups can
be comparable. In this case, the access to policies should not get dependent upon the
characteristics of individuals.
