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The Knowledge Assessment Methodology (KAM) database measures variables that may be used to assess the readiness of countries for the knowledge economy and has many policy uses. Formal analysis using KAM data is faced with the problem of which variables to choose and why. Rather than make these decisions in an ad hoc manner, the authors recommend factor-analytic methods to distill the information contained in the many KAM variables into a smaller set of "factors." Their main objective is to quantify the factors for each country, and to do so in a way that allows comparisons of the factor scores over time. The authors investigate both principal components as well as true factor analytic methods, and emphasize simple structures that help provide a clear political-economic meaning of the factors, but also allow comparisons over time.
Correlation --- Correlations --- Covariance --- Data --- E-Business --- Errors --- Factor Analysis --- Information Security and Privacy --- Matrices --- Matrix --- Measurement --- Missing Data --- Orthogonality --- Population Parameters --- Principal Components Analysis --- Private Sector Development --- Regression Analysis --- Sample Size --- Samples --- Science and Technology Development --- Scientists --- Standard Errors --- Stata --- Statistical and Mathematical Sciences --- Variables
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This paper presents a model of endogenous growth in which the main engine of economic development is knowledge. Using a two-sector closed economy model that comprises of a conventional goods-producing sector and a research and development sector, our model incorporates two key aspects of knowledge: technology and human capital. Steady-state equilibrium conditions show that the growth rate of per capita income hinges on the growth rate of human capital. While the growth rate of human capital has been previously shown to affect the growth of the economy in transition between steady states or balanced growth paths, this paper is the first to link the growth rate of human capital to the steady-state growth rate of productivity and output per worker. Furthermore, this result does not exhibit scale effects or policy invariance, both of which have been longstanding concerns with the predictions of endogenous growth models developed in the 1990s.
Capita Income --- Capital --- Capital Accumulation --- Capital Stock --- Conventional Wisdom --- E-Business --- Economic Development --- Economic Growth --- Economic Theory and Research --- Emerging Markets --- Factors Of Production --- Growth --- Growth Rate --- Growth Rate of Output --- Growth Rates --- Inequality --- International Economics & Trade --- Labor --- Labor Force --- Level Of Technology --- Macroeconomics and Economic Growth --- Neoclassical Models --- Political Economy --- Poverty Reduction --- Private Sector Development --- Pro-Poor Growth --- Production Function --- Sector Model --- State Equilibrium --- Technical Progress --- Trade and Regional Integration --- Trade Liberalization
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The Knowledge Assessment Methodology (KAM) database measures variables that may be used to assess the readiness of countries for the knowledge economy and has many policy uses. Formal analysis using KAM data is faced with the problem of which variables to choose and why. Rather than make these decisions in an ad hoc manner, the authors recommend factor-analytic methods to distill the information contained in the many KAM variables into a smaller set of "factors." Their main objective is to quantify the factors for each country, and to do so in a way that allows comparisons of the factor scores over time. The authors investigate both principal components as well as true factor analytic methods, and emphasize simple structures that help provide a clear political-economic meaning of the factors, but also allow comparisons over time.
Correlation --- Correlations --- Covariance --- Data --- E-Business --- Errors --- Factor Analysis --- Information Security and Privacy --- Matrices --- Matrix --- Measurement --- Missing Data --- Orthogonality --- Population Parameters --- Principal Components Analysis --- Private Sector Development --- Regression Analysis --- Sample Size --- Samples --- Science and Technology Development --- Scientists --- Standard Errors --- Stata --- Statistical and Mathematical Sciences --- Variables
Choose an application
This paper presents a model of endogenous growth in which the main engine of economic development is knowledge. Using a two-sector closed economy model that comprises of a conventional goods-producing sector and a research and development sector, our model incorporates two key aspects of knowledge: technology and human capital. Steady-state equilibrium conditions show that the growth rate of per capita income hinges on the growth rate of human capital. While the growth rate of human capital has been previously shown to affect the growth of the economy in transition between steady states or balanced growth paths, this paper is the first to link the growth rate of human capital to the steady-state growth rate of productivity and output per worker. Furthermore, this result does not exhibit scale effects or policy invariance, both of which have been longstanding concerns with the predictions of endogenous growth models developed in the 1990s.
Capita Income --- Capital --- Capital Accumulation --- Capital Stock --- Conventional Wisdom --- E-Business --- Economic Development --- Economic Growth --- Economic Theory and Research --- Emerging Markets --- Factors Of Production --- Growth --- Growth Rate --- Growth Rate of Output --- Growth Rates --- Inequality --- International Economics & Trade --- Labor --- Labor Force --- Level Of Technology --- Macroeconomics and Economic Growth --- Neoclassical Models --- Political Economy --- Poverty Reduction --- Private Sector Development --- Pro-Poor Growth --- Production Function --- Sector Model --- State Equilibrium --- Technical Progress --- Trade and Regional Integration --- Trade Liberalization
Choose an application
Listing 1 - 10 of 10 |
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