John Muth
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John Fraser Muth (; September 27, 1930 – October 23, 2005) was an American
economist An economist is a professional and practitioner in the social sciences, social science discipline of economics. The individual may also study, develop, and apply theories and concepts from economics and write about economic policy. Within this ...
. He is "the father of the
rational expectations Rational expectations is an economic theory that seeks to infer the macroeconomic consequences of individuals' decisions based on all available knowledge. It assumes that individuals' actions are based on the best available economic theory and info ...
revolution in economics", primarily due to his article "Rational Expectations and the Theory of Price Movements" from 1961. Muth earned his
PhD A Doctor of Philosophy (PhD, DPhil; or ) is a terminal degree that usually denotes the highest level of academic achievement in a given discipline and is awarded following a course of graduate study and original research. The name of the deg ...
in mathematical economics from
Carnegie Mellon University Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania, United States. The institution was established in 1900 by Andrew Carnegie as the Carnegie Technical Schools. In 1912, it became the Carnegie Institu ...
, and was in 1954 the first recipient of the Alexander Henderson Award. He was affiliated with Carnegie Mellon as a research associate from 1956 until 1959, as an assistant professor from 1959 to 1962, and as an associate professor without tenure from 1962 to 1964. He was a full professor at Michigan State University from 1964 to 1969 and a full professor at Indiana University from 1969 until his retirement in 1994. Muth asserted that expectations "are essentially the same as the predictions of the relevant economic theory." Although he formulated the
rational expectations Rational expectations is an economic theory that seeks to infer the macroeconomic consequences of individuals' decisions based on all available knowledge. It assumes that individuals' actions are based on the best available economic theory and info ...
principle in the context of microeconomics it has subsequently become associated with macroeconomics and the work of
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, Finn E. Kydland,
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,
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, Thomas J. Sargent, and others.


Rationalization of Friedman's adaptive expectations model

Phillip Cagan Phillip David Cagan (April 30, 1927 – June 15, 2012) was an American scholar and author. He was Professor of Economics Emeritus at Columbia University. Biography Born in Seattle, Washington, Cagan and his family moved to Southern California sh ...
,
Milton Friedman Milton Friedman (; July 31, 1912 – November 16, 2006) was an American economist and statistician who received the 1976 Nobel Memorial Prize in Economic Sciences for his research on consumption analysis, monetary history and theory and ...
and others used the ''ad hoc'' updating rule which they labeled
adaptive expectations In economics, adaptive expectations is a hypothesized process by which people form their expectations about what will happen in the future based on what has happened in the past. For example, if people want to create an expectation of the inflatio ...
to forecast the hidden state ''y*'' (e.g., permanent income). In a 1960 paper, Muth answered the question: for what stochastic process for ''y'' will adaptive expectations as postulated by Cagan and Friedman be the optimal forecast of ''y*''. Muth's approach to find recursive optimal linear forecast of a "hidden" state vector, ''x'', given an "observer", ''y'' is very similar to the
Kalman filter In statistics and control theory, Kalman filtering (also known as linear quadratic estimation) is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, to produce estimates of unk ...
, presented by Rudolf Kálmán in his paper from the same year. In his paper "Optimal Properties of Exponentially Weighted Forecasts", which was published in the ''
Journal of the American Statistical Association The ''Journal of the American Statistical Association'' is a quarterly peer-reviewed scientific journal published by Taylor & Francis on behalf of the American Statistical Association. It covers work primarily focused on the application of statis ...
'' in 1960, Muth rationalized Friedman's adaptive expectations model for permanent income. He did this by reverse engineering a stochastic process for income for which Cagan's expectation formula equals a mathematical expectation of future values conditioned on the infinite history of past incomes. Among Muth's insights was that the stochastic process being forecast should dictate both the distributed lag and the conditioning variables that people use to forecast the future.


Hypothesis of rational expectations

In "Rational Expectations and the Theory of Price Movements", published in 1961, Muth put forward his hypothesis, in contrast to Simon, that "expectations, since they are informed predictions of future events, are essentially the same as the predictions of the relevant economic theory." Muth continued, "At the risk of confusing this purely descriptive hypothesis with a pronouncement as to what firms ought to do, we call such expectations ''rational''."


Legacy

Muth's works influenced almost every area of economic research into dynamic problems.


Major works

* Charles C. Holt, Franco Modigliani, John F. Muth, and Herbert A. Simon (1960). ''Planning Production, Inventories, and Work Force''. * John F. Muth. (1960). "Optimal Properties of Exponentially Weighted Forecasts", ''Journal of the American Statistical Association'', 55(290), pp.  299–306. * John F. Muth. (1961). "Rational Expectations and the Theory of Price Movements", ''Econometrica'' 29, pp. 315–335. *


External links

* *
Remembering the Man Behind Rational Expectations
obituary of John F. Muth {{DEFAULTSORT:Muth, John F. 1930 births 2005 deaths New classical economists 20th-century American economists Carnegie Mellon University faculty Fellows of the Econometric Society Carnegie Mellon University alumni American probability theorists