Is the Speed of Convergence Constant?
نویسندگان
چکیده
Empirical attempts to measure the speed of convergence -the rate at which a country's per capita income approaches its steady state relative to its distance from its steady state -have started from the assumption that it is constant. In contrast, neoclassical models of capital accumulation usually predict that the speed of convergence decreases as income approaches its steady state. Estimating a flexible functional form which allows the speed of convergence to vary suggests that the speed of convergence actually increases as income approaches its steady state. An increasing speed of convergence calls into question structural interpretations of coefficients on conditioning variables in cross-sectional growth regressions. Instead, excluding initial income from cross-sectional growth regressions allows coefficients on exogenous variables to be interpreted as measuring changes in underlying structural relationships. JEL Classification: O41, O47
منابع مشابه
On the convergence speed of artificial neural networks in the solving of linear systems
Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper is a scrutiny on the application of diverse learning methods in speed of convergence in neural networks. For this aim, first we introduce a perceptron method based on artificial neural networks which has been applied for solving a non-singula...
متن کاملInvestigating the Convergence of Higher Education expenditure in Iranian Provinces: A Panel Data Approach
Higher education is considered as the engine of development and growth because of its benefits for increasing research, knowledge and technological innovation in the country. Also, the cost of education is a representative of human capital and among the determining factors of regional inequalities. Improving the dynamics of growth in future and considering the role of education in this field, t...
متن کاملModified frame algorithm and its convergence acceleration by Chebyshev method
The aim of this paper is to improve the convergence rate of frame algorithm based on Richardson iteration and Chebyshev methods. Based on Richardson iteration method, we first square the existing convergence rate of frame algorithm which in turn the number of iterations would be bisected and increased speed of convergence is achieved. Afterward, by using Chebyshev polynomials, we improve this s...
متن کاملAchieving Regional Convergence through the Role of Foreign Direct Investment and Portfolio Investment: Evidence from ASEAN+3
T he purpose of this study is to analyze the effect of foreign direct investment and portfolio investment on the convergence occurrence of economic growth of countries in the ASEAN + 3 region and to determine the time or speed required to achieve convergence. The type of data used in this research is secondary data panel which is combination between time series data and cross-section...
متن کاملThe Growth Dynamism in the Islamic Countries
This paper has examined the phenomenon of convergence of per capita out put levels across the IC countries for the 1960-1998 periods. Three concepts of convergence, i.e., sigma beta and relative beta, have been used. The estimated beta values reveals only a very weak convergence (?=.0014) across IC for 1960-1998 period. But when a more homogeneous group of countries were selected, the results s...
متن کاملUniform connectedness and uniform local connectedness for lattice-valued uniform convergence spaces
We apply Preuss' concept of $mbbe$-connectedness to the categories of lattice-valued uniform convergence spaces and of lattice-valued uniform spaces. A space is uniformly $mbbe$-connected if the only uniformly continuous mappings from the space to a space in the class $mbbe$ are the constant mappings. We develop the basic theory for $mbbe$-connected sets, including the product theorem. Furtherm...
متن کامل