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Robert E. Lucas

Bio: Robert E. Lucas is an academic researcher from University of Chicago. The author has contributed to research in topics: Population & General equilibrium theory. The author has an hindex of 81, co-authored 204 publications receiving 94081 citations. Previous affiliations of Robert E. Lucas include National Bureau of Economic Research & Boston University.


Papers
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TL;DR: The authors used Malthusian population dynamics (quantity) and demographic transition (quality) to identify a limited set of forces that were central to the growth of per capita GDP in the United Kingdom and the United States.
Abstract: At some point in the first half of the 19th century per capita GDP in the United Kingdom and the United States began to grow at something like one to two percent per year and have continued to do so up to the present. Now incomes in many economies routinely grow at 2 percent per year and some grow at much higher “catch-up” rates. These events surely represent a historical watershed, separating a traditional world in which incomes of ordinary working people remained low and fairly stable over the centuries from a modern world where incomes increase for every new generation. This paper uses Gary Becker’s theory of a “quantity/quality trade-off,” consistent both with Malthusian population dynamics (quantity) and with demographic transition (quality), to identify a limited set of forces that were central to this revolution.

12 citations

Posted Content
TL;DR: In this paper, the authors analyze a model economy with many agents, each with a different productivity level, who divide their time between two activities: producing goods with the production-related knowledge they already have, and interacting with others in search of new, productivity-increasing ideas.
Abstract: We analyze a model economy with many agents, each with a different productivity level. Agents divide their time between two activities: producing goods with the production-related knowledge they already have, and interacting with others in search of new, productivity-increasing ideas. These choices jointly determine the economy's current production level and its rate of learning and real growth. Individuals' time allocation decisions depend on the knowledge distribution because the productivity levels of others determine their own chances of improving their productivities through search. The time allocations of everyone in the economy in turn determine the evolution of its knowledge distribution. We construct the balanced growth path for this economy, thereby obtaining a theory of endogenous growth that captures in a tractable way the social nature of knowledge creation. We also study the allocation chosen by an idealized planner who takes into account and internalizes the external benefits of search, and tax structures that implement an optimal solution. Finally, we provide two examples of alternative learning technologies, as concrete illustrations of other directions that might be pursued.

11 citations

Journal ArticleDOI
TL;DR: In this article, a simultaneous model of production, labor demand, capital formation, international trade, and price determination, with inter-segmental linkages, is specified for India's organized manufacturing sector, disaggregated into 37 industries.

11 citations


Cited by
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TL;DR: In this paper, the concept of social capital is introduced and illustrated, its forms are described, the social structural conditions under which it arises are examined, and it is used in an analys...
Abstract: In this paper, the concept of social capital is introduced and illustrated, its forms are described, the social structural conditions under which it arises are examined, and it is used in an analys...

31,693 citations

Journal ArticleDOI
TL;DR: The authors examined whether the Solow growth model is consistent with the international variation in the standard of living, and they showed that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the cross-country data.
Abstract: This paper examines whether the Solow growth model is consistent with the international variation in the standard of living. It shows that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the cross-country data. The paper also examines the implications of the Solow model for convergence in standards of living, that is, for whether poor countries tend to grow faster than rich countries. The evidence indicates that, holding population growth and capital accumulation constant, countries converge at about the rate the augmented Solow model predicts. This paper takes Robert Solow seriously. In his classic 1956 article Solow proposed that we begin the study of economic growth by assuming a standard neoclassical production function with decreasing returns to capital. Taking the rates of saving and population growth as exogenous, he showed that these two vari- ables determine the steady-state level of income per capita. Be- cause saving and population growth rates vary across countries, different countries reach different steady states. Solow's model gives simple testable predictions about how these variables influ- ence the steady-state level of income. The higher the rate of saving, the richer the country. The higher the rate of population growth, the poorer the country. This paper argues that the predictions of the Solow model are, to a first approximation, consistent with the evidence. Examining recently available data for a large set of countries, we find that saving and population growth affect income in the directions that Solow predicted. Moreover, more than half of the cross-country variation in income per capita can be explained by these two variables alone. Yet all is not right for the Solow model. Although the model correctly predicts the directions of the effects of saving and

14,402 citations

ReportDOI
TL;DR: In this paper, the authors show that the stock of human capital determines the rate of growth, that too little human capital is devoted to research in equilibrium, that integration into world markets will increase growth rates, and that having a large population is not sufficient to generate growth.
Abstract: Growth in this model is driven by technological change that arises from intentional investment decisions made by profit-maximizing agents. The distinguishing feature of the technology as an input is that it is neither a conventional good nor a public good; it is a nonrival, partially excludable good. Because of the nonconvexity introduced by a nonrival good, price-taking competition cannot be supported. Instead, the equilibrium is one with monopolistic competition. The main conclusions are that the stock of human capital determines the rate of growth, that too little human capital is devoted to research in equilibrium, that integration into world markets will increase growth rates, and that having a large population is not sufficient to generate growth.

12,469 citations

Posted Content
TL;DR: In this paper, the authors show that the stock of human capital determines the rate of growth, that too little human capital is devoted to research in equilibrium, that integration into world markets will increase growth rates, and that having a large population is not sufficient to generate growth.
Abstract: Growth in this model is driven by technological change that arises from intentional investment decisions made by profit maximizing agents. The distinguishing feature of the technology as an input is that it is neither a conventional good nor a public good; it is a nonrival, partially excludable good. Because of the nonconvexity introduced by a nonrival good, price-taking competition cannot be supported, and instead, the equilibriumis one with monopolistic competition. The main conclusions are that the stock of human capital determines the rate of growth, that too little human capital is devoted to research in equilibrium, that integration into world markets will increase growth rates, and that having a large population is not sufficient to generate growth.

11,095 citations