Reconstructing macroeconomics: a perspective from statistical physics and combinatorial stochastic processes

In this 2007 book, the authors treat macroeconomic models as composed of large numbers of micro-units or agents of several types and explicitly discuss stochastic dynamic and combinatorial aspects of interactions among them. In mainstream macroeconomics sound microfoundations for macroeconomics have...

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Bibliographische Detailangaben
Beteilige Person: Aoki, Masanao (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cambridge Cambridge University Press 2007
Schriftenreihe:Japan-U.S. Center UFJ Bank monographs on international financial markets
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Links:https://doi.org/10.1017/CBO9780511510670
https://doi.org/10.1017/CBO9780511510670
https://doi.org/10.1017/CBO9780511510670
https://doi.org/10.1017/CBO9780511510670
Zusammenfassung:In this 2007 book, the authors treat macroeconomic models as composed of large numbers of micro-units or agents of several types and explicitly discuss stochastic dynamic and combinatorial aspects of interactions among them. In mainstream macroeconomics sound microfoundations for macroeconomics have meant incorporating sophisticated intertemporal optimization by representative agents into models. Optimal growth theory, once meant to be normative, is now taught as a descriptive theory in mainstream macroeconomic courses. In neoclassical equilibria flexible prices led the economy to the state of full employment and marginal productivities are all equated. Professors Aoki and Yoshikawa contrariwise show that such equilibria are not possible in economies with a large number of agents of heterogeneous types. They employ a set of statistical dynamical tools via continuous-time Markov chains and statistical distributions of fractions of agents by types available in the new literature of combinatorial stochastic processes, to reconstruct macroeconomic models
Beschreibung:Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Umfang:1 online resource (xviii, 333 pages)
ISBN:9780511510670
DOI:10.1017/CBO9780511510670