escalate
发表于 2025-3-30 09:07:49
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茁壮成长
发表于 2025-3-30 16:06:54
The Principle of Effective Demand: The Key to Understanding the ,,d the majority of Keynes’s contemporaries immediately concluded that the . was nothing more than a special case of the classical model. The majority of economists have followed Frank Knight’s (1937 [1983, p. 1571) advice to, “... simply ‘forget’ the revolution in economic theory and read the book [t
characteristic
发表于 2025-3-30 20:24:07
Aggregate Demand, Employment and Equilibrium with Marginal Productivity: Keynesian Adjustment in thul Davidson and Victoria Chick, have accepted it with reservations. None of them, however, have thought that the account was illuminating or that supply and demand for labor determined employment and real wages. Ingrid Rima, for example, insists that the behavior of the labor market is chiefly deter
明确
发表于 2025-3-31 00:38:39
,Keynes’s Approach to Money: What can be Recovered?,ermine what was retained, and what was shed, from Keynes’s approach. Finally, we examine what needs to be recovered to create a coherent and useful approach to money that synthesizes Keynes’s early insights with more recent developments in monetary theory.
小鹿
发表于 2025-3-31 04:46:57
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fetter
发表于 2025-3-31 06:18:23
What Keynesian Revolution? A Reconsideration Seventy Years After ,sical, New Keynesian, and Post Keynesian indicate that the issues that divided Keynes from those he labeled as classical still inspire research, however distant and hazy may be the historical awareness of such recent mainstream writers as Mankiw (1992). Widely read biographies by Don Moggridge and R
让空气进入
发表于 2025-3-31 10:01:52
other learning algorithms when dealing with content-based classification tasks. Given the high dimensionality and redundancy of visual data, the primary goal of preprocessing is to transfer the original data to a low-dimensional representation that preserves the information relevant for the classifi
滔滔不绝的人
发表于 2025-3-31 15:25:13
Robert W. Dimand,Robert A. Mundell,Alessandro VercellitionsThis edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences