Models, Measurement, and 'Universal Patterns': Jan Tinbergen and Development Planning Without Theory

M. Boumans, N. de Marchi
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引用次数: 2

Abstract

Development economics in the 1950s and 1960s, as Jan Tinbergen and Irma Adelman saw it, was a “groping in the dark.” Besides the limited knowledge of dynamic mechanisms, the lack of data was a severe problem for any attempt at modeling, whether macroeconomic, input-output, or in the tradition of national income accounting. As concerns the three main figures of this article—the empirical researchers Tinbergen, Hollis Chenery, and Adelman—each developed his or her own approach to modeling: modeling in stages, modeling to capture universal patterns, and factor analysis, respectively. Tinbergen, Chenery, and Adelman shared a common inductive methodology, which might rightly be called “measurement without theory,” in the sense that there was no economic theory that could help them in organizing the available messy and often unreliable data. Chenery saw a role for abstract mathematical models as helping inquirers to rise above such impediments, even if only temporarily, or to gain focus, as was the case with his making technical progress an exogenous variable. Tinbergen’s models of the “first stage” were also intended to make planning for development tractable, but without mixing planning with such focusing devices. Adelman, for her part, preferred to search for and identify factors of development.
模型、测量和“普遍模式”:Jan Tinbergen和没有理论的发展规划
20世纪50年代和60年代的发展经济学,正如Jan Tinbergen和Irma Adelman所看到的,是“在黑暗中摸索”。除了对动态机制的知识有限之外,缺乏数据是任何建模尝试的一个严重问题,无论是宏观经济、投入产出还是传统的国民收入核算。本文的三位主要人物——实证研究人员Tinbergen、Hollis Chenery和adelman——各自开发了自己的建模方法:阶段建模、建模以捕获普遍模式和因素分析。丁伯根、切纳里和阿德尔曼分享了一种共同的归纳方法,这种方法可以被正确地称为“没有理论的测量”,因为没有任何经济理论可以帮助他们组织现有的混乱且往往不可靠的数据。Chenery认为抽象数学模型的作用是帮助调查者超越这些障碍,即使只是暂时的,或者获得关注,就像他把技术进步作为一个外生变量一样。Tinbergen的“第一阶段”模型也是为了使发展规划易于处理,但没有将规划与这种聚焦装置混合在一起。就阿德尔曼而言,她更倾向于寻找和确定发展因素。
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