Results 1 to 10 of about 2,359,573 (306)
Sigma and beta convergence in regional mortality: A case study of the Netherlands [PDF]
Demographic Research, 2016 Background: For allocation of health budgets it is important to know whether regional mortality differences tend to decline or to increase. Sigma convergence tests can measure whether the dispersion of the regional distribution of mortality has declined.
Fanny Janssen +3 more
doaj +4 more sources
ANALYSIS OF CONVERGENCE WITHIN THE EUROPEAN UNION SIGMA AND BETA CONVERGENCE [PDF]
Annals of the University of Oradea: Economic Science, 2010 Real convergence study began with the development of neoclassical models of growth and especially with the passage of econometric applications of these models. In this paper we present applications of indicators and patterns of convergence on the example
Begu Liviu-Stelian +3 more
doaj +2 more sources
Sigma-convergence of semilinear stochastic wave equations [PDF]
Nonlinear Differential Equations and Applications NoDEA, 2015 We address the homogenization of a semilinear hyperbolic stochastic partial differential equation with highly oscillating coefficients, in the context of ergodic algebras with mean value.
Gabriel Deugoué, J. L. Woukeng
semanticscholar +4 more sources
Banach Journal of Mathematical Analysis, 2011 The usual approach to the weak convergence of a product of functions is to require one of the sequences to converge strongly. For example, if \(u_n \to u\) in \(L^p(\Omega)\), \(v_n \rightharpoonup v\) in \(L^{p^{\prime}}(\Omega)\), then \(u_n v_n \rightharpoonup uv\) in \(L^1(\Omega)\), where \(\rightharpoonup\) means weak convergence.
Gabriel Nguetseng
exaly +3 more sources
Beta-convergence and sigma-convergence in corporate governance in Europe
Economic Modelling, 2012 Abstract This paper tests for beta-convergence and sigma-convergence in the corporate governance models, using a sample of corporate governance ratings for 198 European corporations listed on the FTSE Eurofirst 300 index. A piecewise linear regression is deployed to select a model and the Poisson pseudo-maximum likelihood estimator is also applied to
P. V. Matos, Horácio C. Faustino
semanticscholar +3 more sources
Conditional Beta- and Sigma-Convergence in Space: A Maximum Likelihood Approach [PDF]
SSRN Electronic Journal, 2007 Empirical work on regional growth under spatial spillovers uses two workhorse models: the spatial Solow model and Verdoorn's model. This paper contrasts these two views on regional growth processes and demonstrates that in a spatial setting the speed of convergence is heterogenous in both considered models, depending on the remoteness and the income ...
M. Pfaffermayr
semanticscholar +4 more sources
A Note on the Strong Convergence of $\Sigma$-Algebras
Annals of Probability, 1974 A quantity $\int |E\mathscr{B} f| dP$ (or equivalently $\int|u - P(A: \mathscr{B})| dP, 0 < u < 1)$ associated with a $\sigma$-algebra $\mathscr{B}$ is shown to act as a criterion for a type of convergence of $\sigma$-algebras. This quantity also defines an ordering of $\sigma$-algebras, so that upper and lower limits can be defined in terms of this ...
exaly +4 more sources
Beta Convergence and Sigma Convergence: Evidence from Indonesian District-Level Data
Jurnal Ekonomi Kuantitatif Terapan, 2017 In this paper, we describe three things, (1) Evidence of Beta -convergence’s existence in Indonesian districts-level data, (2) the reason of why Sigma -convergence may not accompany Beta -convergence, and (3) the demonstration to show that Sigma ...
Nenny Hendajany +2 more
semanticscholar +2 more sources
Testing Sigma Convergence Across EU-28
Economics & Sociology, 2014 . The main goal of this research is to assess the degree of convergence in European Union- 28 (EU-28) during 2000-2012. After a spatial analysis of macroeconomic indicators using maps and graphs that were built in GeoDa, the sigma convergence was tested.
M. Simionescu
semanticscholar +3 more sources
Convergence of Conditional $p$-Means Given a $\sigma$-Lattice
Annals of Probability, 1976 Let $\mathbf{P}_n \mid \mathscr{A}, n \in \mathbb{N}$, be a sequence of probability measures converging in total variation to the probability measure $\mathbf{P} \mid \mathscr{A}$ and $\mathscr{C}_n \subset \mathscr{A}, n \in \mathbb{N}$, be a sequence of $\sigma$-lattices converging increasing or decreasing to the $\sigma$-lattice $\mathscr{C}$.
D Landers, L Rogge
exaly +3 more sources