http://individual.utoronto.ca/zheli/sa1.pdf

On the mechanics of economic development

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

/pdf/a-contribution-to-the-empirics-of-economic-growth-27cl5gkqam.pdf

A Contribution to the Empirics of Economic Growth

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.

/pdf/endogenous-technological-change-4yzdlw043b.pdf

Endogenous Technological Change

Existing strategies for econometric analysis related to macroeconomics are subject to a number of serious objections, some recently formulated, some old. These objections are summarized in this paper, and it is argued that taken together they make it unlikely that macroeconomic models are in fact over identified, as the existing statistical theory usually assumes. The implications of this conclusion are explored, and an example of econometric work in a non-standard style, taking account of the objections to the standard style, is presented. THE STUDY OF THE BUSINESS cycle, fluctuations in aggregate measures of economic activity and prices over periods from one to ten years or so, constitutes or motivates a large part of what we call macroeconomics. Most economists would agree that there are many macroeconomic variables whose cyclical fluctuations are of interest, and would agree further that fluctuations in these series are interrelated. It would seem to follow almost tautologically that statistical models involving large numbers of macroeconomic variables ought to be the arena within which macroeconomic theories confront reality and thereby each other. Instead, though large-scale statistical macroeconomic models exist and are by some criteria successful, a deep vein of skepticism about the value of these models runs through that part of the economics profession not actively engaged in constructing or using them. It is still rare for empirical research in macroeconomics to be planned and executed within the framework of one of the large models. In this lecture I intend to discuss some aspects of this situation, attempting both to offer some explanations and to suggest some means for improvement. I will argue that the style in which their builders construct claims for a connection between these models and reality-the style in which "identification" is achieved for these models-is inappropriate, to the point at which claims for identification in these models cannot be taken seriously. This is a venerable assertion; and there are some good old reasons for believing it;2 but there are also some reasons which have been more recently put forth. After developing the conclusion that the identification claimed for existing large-scale models is incredible, I will discuss what ought to be done in consequence. The line of argument is: large-scale models do perform useful forecasting and policy-analysis functions despite their incredible identification; the restrictions imposed in the usual style of identification are neither essential to constructing a model which can perform these functions nor innocuous; an alternative style of identification is available and practical. Finally we will look at some empirical work based on an alternative style of macroeconometrics. A six-variable dynamic system is estimated without using 1 Research for this paper was supported by NSF Grant Soc-76-02482. Lars Hansen executed the computations. The paper has benefited from comments by many people, especially Thomas J. Sargent

/pdf/macroeconomics-and-reality-3v6kkpl8jz.pdf

Macroeconomics and reality

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.

https://papers.ssrn.com/sol3/Delivery.cfm/nber_w3210.pdf?abstractid=226703&mirid=1

Sentinel lymph node biopsy alone compared to systematic lymphadenectomy in patients with uterine carcinosarcoma.

(2000). Three Nobel Laureates on the State of Economics. Challenge: Vol. 43, No. 1, pp. 6-31.

Three Nobel Laureates on the State of Economics: Interviews with Robert Solow, Kenneth Arrow, and Amartya Sen

Early age of onset and broad cancer spectrum persist in MSH6- and PMS2-associated Lynch syndrome.

What do we Know that Francis Amasa Walker didn't?

I belong to the dwindling generation of economists who learned directly and personally from Jan Tinbergen’s example and from his writings. So it is a matter of special regret that I could not be present at the celebration of his hundredth birthday. Given this opportunity to comment, I want to be clear about what I think we learned; it goes well beyond the reading of such didactic classics as his League of Nations study of the business cycle in the U.S. or his example of a self-contained oscillatory process in the shipbuilding cycle. It seems to me that Tinbergen – not alone, of course, but along with Ragnar Frisch, perhaps Michal Kalecki, and then later Paul Samuelson – was a major force in the transformation of economics from a discursive discipline into a model-building discipline. After Tinbergen, studying a problem meant, for many of us, trying to decide what its important features – its main causal connections – might be, and then building a model – a simplified but precise representation – to highlight those features and their economic implications. One realizes easily that there is a natural connection between the model-building approach to economics and the development of econometrics. This may explain why estimating the parameters of a model came to be the main activity of econometricians, as against the simple testing of hypotheses in the manner of R.A. Fisher’s Statistical Methods for Research Workers. It is one of history’s ironies that J.M. Keynes, who was so obtuse in his hostile review of the League of Nations book, should himself have inspired an enormous outpouring of theoretical and econometric models. Of course there has been progress in economics since Tinbergen, and most of it has taken the form of improved and extended model-building. The range of situations that can be and have been modelled has become wider: think of strategic behavior, contracts, incentive compatibility, poverty traps, financial markets, etc. New theoretical ideas have been embodied in functioning models: think of game theory, imperfect competition, bargaining, intertemporal optimization and sub-optimization , etc. I think Tinbergen would have welcomed the intrusion of ‘behavioral’ and experimental economics to broaden the repertoire. New sources and kinds of data have become available, along with the computational capacity to use them: think of the Penn World Tables, large microdata-sets, panels and longitudinal studies, etc. And sophisticated econometric methods have been developed to permit models and data to be brought together. I know that it is sometimes fashionable to deplore these developments, and to yearn for the days when a lady or a gentleman could simply discourse on economics in the manner of Adam Smith. This sort of nostalgia is probably natural; DE ECONOMIST 152, NO. 2, 2004

Robert M. Solow

Papers

Sentinel lymph node biopsy alone compared to systematic lymphadenectomy in patients with uterine carcinosarcoma.

Three Nobel Laureates on the State of Economics: Interviews with Robert Solow, Kenneth Arrow, and Amartya Sen

Early age of onset and broad cancer spectrum persist in MSH6- and PMS2-associated Lynch syndrome.

What do we Know that Francis Amasa Walker didn't?

Progress in Economics since Tinbergen