别名 发表于 2025-3-28 14:56:00
Charles W. Calomiris,Christopher Hanestion in time) as a central metaphor and can be found in the Mumfordian vocabulary of urban theory (polis, metropolis, megalopolis). It concentrates on the economical expansion within modern capitalism and on the technological and sociale side effects of the economical modernization process. The seco可忽略 发表于 2025-3-28 21:40:03
http://reply.papertrans.cn/63/6210/620978/620978_42.pngDOLT 发表于 2025-3-29 00:42:11
http://reply.papertrans.cn/63/6210/620978/620978_43.png名字的误用 发表于 2025-3-29 03:50:20
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http://reply.papertrans.cn/63/6210/620978/620978_45.pngPalpable 发表于 2025-3-29 11:23:20
g contexts of production on both sides of the Atlantic. Part I surveys the presence of self-translation in contemporary Indigenous literatures in Spanish America, with a focus on Mexico and the Mapuche poetry of Chile and Argentina. Part II proposes to incorporate self-translation into the history oFactorable 发表于 2025-3-29 15:37:58
http://reply.papertrans.cn/63/6210/620978/620978_47.png平淡而无味 发表于 2025-3-29 22:59:29
Recent Advances in Solving and Estimating Dynamic, Stochastic Macroeconomic Modelsrventions. Within the macroeconomics literature, there are two identifiable approaches to these issues. The reduced-form method involves specifying a . model for the variables of interest, estimating the parameters of the model, and answering the underlying question by analyzing the estimated values指数 发表于 2025-3-30 03:56:38
The Economics of Var Models obscure, confusing, or simply wrong. Since the publication of Sims’s original contributions (1972, 1980a, 1980b, 1982), the methodology has spurred endless debates. Critics claim that the methodology has very little relationship with economic theory, relies on a set of unsustainable assumptions, an胆小懦夫 发表于 2025-3-30 06:21:17
Progressive Modeling of Macroeconomic Time Series ,wide range of model types used for this purpose, including simultaneous-equation models in either reduced or structural form, vector autoregressive models (VAR), autoregressive distributed-lag models, autoregressive integrated moving-average models, leading-indicator models, and error-correction mod