Nowadays, Roy Radner is a topic that has captured the attention of many people around the world. With its relevance in today's society, Roy Radner has become a topic of interest for experts and hobbyists alike. From its impact on the economy to its influence on popular culture, Roy Radner has proven to be a phenomenon worthy of study and analysis. In this article, we will explore different aspects related to Roy Radner and examine its meaning in various contexts. From its history to its future projection, Roy Radner will continue to be an important topic today and for years to come.
Roy Radner | |
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Born | Chicago, Illinois, U.S. | June 29, 1927
Died | October 6, 2022 | (aged 95)
Alma mater | University of Chicago |
Scientific career | |
Fields | Mathematical economics |
Institutions | University of California, Berkeley |
Doctoral advisor | Leonard Jimmie Savage |
Roy Radner (June 29, 1927 – October 6, 2022)[1][2] was Leonard N. Stern School Professor of Business at New York University.[3] He was a micro-economic theorist. Radner's research interests included strategic analysis of climate change, bounded rationality, game-theoretic models of corruption, pricing of information goods and statistical theory of data mining.[4] Previously he was a faculty member at the University of California, Berkeley, and a Distinguished Member of Technical Staff at AT&T Bell Laboratories.
Roy Radner received his Ph.B. in the liberal arts from the University of Chicago in 1945. Continuing his education at the University of Chicago, Radner went on to receive a B.S. in mathematics in 1950, an M.S. in mathematics in 1951, and his Ph.D. in mathematical statistics in 1956. [5] He died on October 6, 2022, at Pennswood Village in Newtown, Bucks County, Pennsylvania, aged 95. [6]
Among Radner's various contributions, the one that bears his name, Radner equilibrium (1968), is a model of financial markets.[7][8][9] In the traditional approach if the value of an asset or a contingent claim is affordable then it can be achieved. Not so with incomplete market as the payoff has to be replicable by trading of available assets that are now part of the definition of the economy. The first consequence of such a requirement is that budget sets do not fill the available space and are typically smaller than hyperplanes. Because the dimension of vectors orthogonal to the budget set is larger than one there is no reason for the price systems supporting an equilibrium to be unique up to scaling, likewise the first order conditions no longer implies that gradient of agents are collinear at equilibrium. Both happen to fail to hold generically: the first theorem of welfare economics is hence the first victim of incompleteness. Pareto-optimality of equilibria generally does not hold.[10] In traditional complete markets any policy would be undone through trading of rational expectation agents. This is no longer the case with incomplete markets as such policy-neutralising trading is no longer necessarily possible. Various policies (tax-related,[11] monetary,[12][13] etc. ) have an effect when introduced when markets are incomplete. Additionally incompleteness opens the door for a theory of financial innovation with real impact.[14] This was not possible in the traditional complete market general equilibrium model as any contingent claim could be replicated by trading and financial innovation would have no real effect.
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