IFSS (STRE 8005) Semester 1, 2009 Positive Economics summarized by Sixin Sheng (z3273424)
Friedman, M. (1953) “The methodology of positive economics”, in
Essays in Positive Economics, Chicago: University of Chicago Press, 3-
43.
In this influential paper, Friedman firstly discussed the differences between positive
economics and normative economics, and then answered at least four important
questions: firstly, what is the essence of the theory? Secondly, could we refuse a
theory based on its unrealistic assumptions? Thirdly, which roles do a theory’s
assumptions play? Finally, how could we identify a better theory among alternatives?
Different from normative economics, positive economics is “independent of any
particular ethical position or normative judgements”. Positive economics is dealing
with the question of “what is” and making predictions, while normative economics
answers the question of “what ought to be” and makes policy recommendations. In a
way, positive economics can provide normative economics grounds and direction for
its policy conclusions.
Friedman argued that positive economics is to develop a theory that can predict
unobserved phenomena. On the one hand, theory can be viewed as a language that
aims to “promote systematic and organized methods of reasoning”, but itself does
not include any substantive content. In that sense, theory should be evaluated by the
logic of its language (simplicity and completeness); On the other hand, theory also
can be viewed as “a body of substantive hypothesis” with some certain explanatory
and predictive powers. In this sense, only factual evidence can judge a theory’s
correctness or validness. It should be noted that, when we test a theory, the logical
criterion is relevant but its role is just subsidiary.
Some people criticized that the assumptions of economic theories (such as
maximization of returns assumption) are often not realistic, so they thought
economic theories with unfounded assumptions should be rejected. However,
Friedman believed that the assumptions of a theory are not necessary to be realistic
(completely realistic assumptions are impossible as well), because the realism of the
assumptions cannot play any role in testing a theory. The only relevant test of a
theory’s validity is the “comparison of its predictions with factual evidence”. For
Friedman, a theory can be falsified by contradicted factual evidence, but a theory
cannot be proved by limited factual evidence consistent to its predictions, which just
can improve our confidence on the theory’s validity.
If so, why do we use or need assumptions in many theories? Friedman said the
assumptions of a theory may still have three positive roles. Firstly, they can be “an
economic model of describing or presenting a theory”. Secondly, they may facilitate
“an indirect test of the hypothesis by its implications”. Thirdly, they also can be “a
convenient means of specifying the conditions under which the theory is expected to
be valid”.
Finally, Friedman pointed out the complete realism of a theory is not possible, and a
theory is better than its alternatives only if this theory’s predictions can satisfy our
research purposes better, or this theory can yield more accurate and widespread
predictions than other alternative theories. In order to promote positive economics,
Friedman thought it is necessary to test and refine existing theories. In addition,
constructing new theories continually is also very important.
IFSS (STRE 8005) Semester 1, 2009 Bounded Rationality summarized by Sixin Sheng (z3273424)
Simon, H. (1978) “Rationality as Process and as Product of Thought”,
American Economic Review, 68(2), 1-16.
Some economists defended their rational man assumption using a narrow
definition of rationality: utility maximization in the allocation of scarce resources,
while other social sciences such as sociology proposed a broader usage of rationality,
that is, human behaviour is rational.
However, through a detailed illustration of how rationality entering into other social
sciences in the form of functional analysis, Simon in his lecture argued that there is
no much substantial difference between the views of rationality in economics and its
sister social sciences. Thus, inter-disciplinary study and communication within
different social sciences should be possible and helpful for a better understanding of
human behaviour.
Simon agreed that, rational component is quite common in almost all human
behaviour, if the term rational taking its broader everyday sense. Even for
economics, this broader version of rationality is actually used very often in much
economic literature, but for many social sciences, the problem is that the dominant
form of reasoning in them relies on a quite simple causal analysis that pays much
attention to qualitative and structural questions but does not pursue mathematic
calculation of optimal balance.
In the similar vein, Simon argued that economics needs to shift its focus from the
results of rational choice to the process of choice. In that sense, economic account
should attach more importance to procedural rationality, i.e., the effectiveness of
the procedures used to make choice, based on human intellectual powers and
limitations. As a result, rational behaviour theories are required to consider both the
means the actors used to deal with “uncertainty and cognitive complexity” and “the
characteristics of the objective environment” for their decisions.
A fact is that our attention as scarce resource can only deal with limited information
related to complex problems. Given this fact, a critical question is how people make
choice in light of limited information and limited computational capacity, and that
was what Simon emphasized the issue of “human bounded rationality” in the choice
process. One common way to make rational choice is try to search all the
alternatives, however, because of time and cognitive constraints, actors generally
must choose an action before all possible alternatives have been found. Another way
resorts to the team work in which decisions can gain more information from
communications among team members, but the team members’ cognitive
limitations and limited attention still remain an issue. In addition, people may use
various advanced technologies/knowledge such as artificial intelligence to improve
rational search procedures, yet quite a few problems’ complexity is beyond the reach
of those technologies/knowledge. In a word, any proposed “rational solution” to the
problem is incomplete and just an approximation to the real situation. In some cases,
the solution even can be totally deviated from the reality.
In conclusion, people’s capacity to achieve procedural rationality is advanced with
the help of various inventions and equipment, although absolute rational choice is
always impossible. In order to complete rational choice theory, Simon called for a
multi-disciplinary research method to build a better theory about the procedural
rationality.
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