Creator: Atkeson, Andrew and Kehoe, Patrick J. Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 296 Abstract:
Many view the period after the Second Industrial Revolution as a paradigmatic example of a transition to a new economy following a technological revolution and conjecture that this historical experience is useful for understanding other transitions, including that after the Information Technology Revolution. We build a model of diffusion and growth to study transitions. We quantify the learning process in our model using data on the life cycle of U.S. manufacturing plants. This model accounts quantitatively for the productivity paradox, the slow diffusion of new technologies, and the ongoing investment in old technologies after the Second Industrial Revolution. The main lesson from our model for the Information Technology Revolution is that the nature of transition following a technological revolution depends on the historical context: transition and diffusion are slow only if agents have built up through learning a large amount of knowledge about old technologies before the transition begins.
学科: N62 - Economic History: Manufacturing and Construction: U.S.; Canada: 1913-, N61 - Economic History: Manufacturing and Construction: U.S.; Canada: Pre-1913, L60 - Industry Studies: Manufacturing: General, O33 - Technological Change: Choices and Consequences; Diffusion Processes, N72 - Economic History: Transport, Trade, Energy, Technology, and Other Services: U.S.; Canada: 1913-, and N71 - Economic History: Transport, Trade, Energy, Technology, and Other Services: U.S.; Canada: Pre-1913
Creator: Atkeson, Andrew and Kehoe, Patrick J. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 513 Abstract:
In this paper, we build a model of the transition following large-scale economic reforms that predicts both a substantial drop in output and a prolonged pause in physical investment as the initial phase of the optimal transition following the reform. We model reform as a change in policy which induces agents to close existing enterprises using old technologies of production and to open up new enterprises adopting new technologies of production. The central idea of our paper is that it is costly to close old enterprises and open new enterprises because, in doing so, information capital built up about old enterprises is lost and time must pass before information capital about new enterprises can be acquired. Thus, an acceleration of the pace of industry evolution leads in the short run to a net loss of information capital, a drop in productivity, a recession, and a fall in physical investment. We calibrate our model of industry evolution, information capital, and transition to match micro data on industry evolution in the United States and macro data from the United States, Japan, and the former communist countries of Europe. We find that the loss of information capital that accompanies a major acceleration in the pace of industry evolution in an economy leads initially to a decade of recession and a five year pause in physical investment before the benefits of reform are realized.
关键词: Information capital, Recession, Transition, Industrial evolution, Economic reform, Technological evolution, Policy change, and Technology change 学科: O25 - Industrial Policy and O33 - Technological Change: Choices and Consequences; Diffusion Processes