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...

/pdf/social-capital-in-the-creation-of-human-capital-1836wo2872.pdf

Social Capital in the Creation of Human Capital

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

Large sample properties of generalized method of moments estimators

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

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

Economics defines investment as the act of incurring an immediate cost in the expectation of future rewards. Firms that construct plants and install equipment, merchants who lay in a stock of goods for sale, and persons who spend time on vocational education are all investors in this sense. Somewhat less obviously, a firm that shuts down a loss-making plant is also \"investing\": the payments it must make to extract itself from contractual commitments, including severance payments to labor, are the initial expenditure, and the prospective reward is the reduction in future losses.

https://pages.stern.nyu.edu/~dbackus/GE_asset_pricing/adjustment%20costs/LucasPrescott%20Econometrica%2071.pdf

Investment Under Uncertainty

I. THE RECURSIVE APPROACH 1. Introduction 2. An Overview 2.1 A Deterministic Model of Optimal Growth 2.2 A Stochastic Model of Optimal Growth 2.3 Competitive Equilibrium Growth 2.4 Conclusions and Plans II. DETERMINISTIC MODELS 3. Mathematical Preliminaries 3.1 Metric Spaces and Normed Vector Spaces 3.2 The Contraction Mapping Theorem 3.3 The Theorem of the Maximum 4. Dynamic Programming under Certainty 4.1 The Principle of Optimality 4.2 Bounded Returns 4.3 Constant Returns to Scale 4.4 Unbounded Returns 4.5 Euler Equations 5. Applications of Dynamic Programming under Certainty 5.1 The One-Sector Model of Optimal Growth 5.2 A "Cake-Eating" Problem 5.3 Optimal Growth with Linear Utility 5.4 Growth with Technical Progress 5.5 A Tree-Cutting Problem 5.6 Learning by Doing 5.7 Human Capital Accumulation 5.8 Growth with Human Capital 5.9 Investment with Convex Costs 5.10 Investment with Constant Returns 5.11 Recursive Preferences 5.12 Theory of the Consumer with Recursive Preferences 5.13 A Pareto Problem with Recursive Preferences 5.14 An (s, S) Inventory Problem 5.15 The Inventory Problem in Continuous Time 5.16 A Seller with Unknown Demand 5.17 A Consumption-Savings Problem 6. Deterministic Dynamics 6.1 One-Dimensional Examples 6.2 Global Stability: Liapounov Functions 6.3 Linear Systems and Linear Approximations 6.4 Euler Equations 6.5 Applications III. STOCHASTIC MODELS 7. Measure Theory and Integration 7.1 Measurable Spaces 7.2 Measures 7.3 Measurable Functions 7.4 Integration 7.5 Product Spaces 7.6 The Monotone Class Lemma

Recursive methods in economic dynamics

This paper proposes a new theory of the size distributions of business firms. It postulates an underlying distribution of persons by managerial "talent" and then studies the division of persons into managers and employees and the allocation of productive factors across managers. The implications of the theory for secular changes in average firm size are developed and tested on U.S. time series.

On the size distribution of business firms

A rotary spinning ring construction is provided wherein the rotary ring body is provided with upper and lower outwardly tapered body portions, each of which has its surface provided with inclined grooves, a ring holder for receiving the rotary body therein, a sliding flange positioned between the holder and the body and having some play therein, and dust caps mounted on the upper and lower portions of the rotary body to seal the upper and lower areas of play between the holder and the rotary body. This arrangement results in a spinning ring construction that will dust automatically.

Why doesn't capital flow from rich to poor countries?

In this article a theory of motivations to send remittances is described and tested with data from Botswana. Altruism is one of the motivations tested and found to be an insufficient explanation for remittances among migrants in Botswana. A refinement of the model stipulates a modified altruism or "enlightened self-interest." In this model the relationship between the migrant and family is tempered by an implicit understanding of mutual benefit. The household strategy may be to encourage some members to migrate as a means of spreading risk and sharing gains. The household strategy is similar to an insurance policy where migration is to places where market potential is high. The risks incurred might be high. The example is given of migration during a drought in Botswana. Migrant remittances were greater in households with more cattle or households with more to lose. Drought alone was not statistically related to remittances. Increases in remittances were related to increased levels of education. It is suggested that repayment was the motive for parents investment in migrants education. Migrants gains are identified as the potential for an inheritance the security of channeling investments through a trusted family member and security in having a home to return to. It is pointed out that the altruism and family remittances from urban migration were strategies that bridged the simple dynamic of either urban development or rural development impacting on family welfare. It is suggested that household models of economy adopt some measure to express the relationship of household wealth to remittances from urban migrants.

Robert E. Lucas

Papers

Investment Under Uncertainty

Recursive methods in economic dynamics

On the size distribution of business firms

Why doesn't capital flow from rich to poor countries?

Motivations to Remit: Evidence from Botswana