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The overlapping generations (OLG) model is one of the dominating frameworks of analysis in the study of macroeconomic dynamics and economic growth.In contrast to the Ramsey–Cass–Koopmans neoclassical growth model in which individuals are infinitely-lived, in the OLG model individuals live a finite length of time, long enough to overlap with at least one period of another agent's life.
The announcement of the 2008 Nobel Memorial Prize in Economic Sciences in Stockholm. The winner of the prize was Paul Krugman.. The Nobel Memorial Prize in Economic Sciences, officially known as The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel (Swedish: Sveriges riksbanks pris i ekonomisk vetenskap till Alfred Nobels minne), is an award funded by Sveriges Riksbank and ...
In the OLG model, the finiteness of endowments fails, giving rise to similar problems as described by Hilbert's paradox of the Grand Hotel. Whether the assumptions underlying the fundamental theorems are an adequate description of markets is at least partially an empirical question and may differ case by case.
Only later was a model adopted by Cass and Koopmans as a description of a decentralized dynamic economy with a representative agent. The Ramsey–Cass–Koopmans model aims only at explaining long-run economic growth rather than business cycle fluctuations, and does not include any sources of disturbances like market imperfections ...
CGE modelling of richer economies descends from Leif Johansen's 1960 [4] MSG model of Norway, and the static model developed by the Cambridge Growth Project [5] in the UK. Both models were pragmatic in flavour, and traced variables through time. The Australian MONASH model [6] is a modern representative of this class. Perhaps the first CGE ...
Maurice Félix Charles Allais [2] (31 May 1911 – 9 October 2010) was a French physicist and economist, the 1988 winner of the Nobel Memorial Prize in Economic Sciences "for his pioneering contributions to the theory of markets and efficient utilization of resources", along with John Hicks (Value and Capital, 1939) and Paul Samuelson (The Foundations of Economic Analysis, 1947), to ...
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In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...