<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Generalized Urn Schemes and Technological Dynamics</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">G.</mods:namePart><mods:namePart type="family">Dosi</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Y.M.</mods:namePart><mods:namePart type="family">Ermoliev</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Y.M.</mods:namePart><mods:namePart type="family">Kaniovski</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The paper deals with a class of stochastic models of technological diffusion based on so-called generalized urn schemes. The models exhibit non-ergodic limit behavior. In contrast to existing models based on urn schemes, the  initial state influences not only the limit of the shape distribution, but  also the support of this distribution. The authors consider the case of strategic price manipulation that can be applied to other cases, for example, models of bargaining. &#13;
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The study concentrates on one of the three major directions of the TED project, namely, modeling of macroeconomic issues.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1994</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>RR-94-011. Reprinted from Journal of Mathematical Economics, 23:1-19 [1994].</mods:publisher></mods:originInfo><mods:genre>Monograph</mods:genre></mods:mods>