We estimate the speed of income convergence for a sample of 196 European NUTS 2 regions over the period 1985-1999. So far there is no direct estimator available for dynamic panels with strong spatial dependencies. We propose a two-step procedure, which involves first spatial filtering of the variables to remove the spatial correlation, and application of standard GMM estimators for dynamic pane...

This study is to investigate the short- and long-run causal relationship between agglomeration (localization and urbanization) economies and labor productivity in the manufacturing sector of 28 Iranian provinces over an 11-year period, 2001–2011. Fully Modified Ordinary Least Squares (FMOLS) method was used to estimate our long-run panel data model. The empirical findings suggested that localiz...

Using the censuses of 2000 and 2010, we have noticed that the inequality of the household per capita income in the biggest Brazilian cities did not show a trend of reduction, differently from the whole country. Also, the inequality in those cities is substantially higher than the Brazilian. We investigate the determinants of this high and persistent inequality for Brasília (Federal District). W...

This paper describes a new framework for designing speaker recognition systems based on the discriminative feature extraction (DFE) method. We apply a mel-cepstral estimation technique to the feature extractor in a Gaussian mixture model (GMM)-based text-independent speaker identification system. The mel-cepstral estimation technique uses the second-order all-pass warping function for frequency...

This paper analyzes the impact of rural-to-urban migration on income inequality and gender wage gap in source regions using a newly constructed panel dataset for around 100 villages over a ten-year period from 1997 to 2006 in China. Since income inequality is time-persisting, we use a system GMM framework to control for the lagged income inequality, in which contemporary emigration is also vali...

In this paper we consider a panel data model with error components that are both spatially and time-wise correlated. The model blends specifications typically considered in the spatial literature with those considered in the error components literature. We introduce generalizations of the generalized moments estimators suggested in Kelejian and Prucha (1999. A generalized moments estimator for ...

In this paper a new method to estimate the equivalence scale elasticity using individual panel data on income satisfaction will be developed. In contrast to other subjective approaches, the present one benefits from the fact that no direct cardinal individual welfare function has to be specified. In addition, panel data enables different scale use by the respondents to be controlled. The approa...

T his paper investigates the impact of monetary policies on the exchange rate of selected developing countries during the period 2001-2010. For this purpose, in addition to the theoretical explanation, dynamic panel data based on the generalized method of moments (GMM) have been used to estimate the model. Our findings indicate that the lag of exchange rate variable has a positive and signific...

In this paper, we show that a concept of aggregation can hold in network games. Breaking up large networks into smaller pieces, which can be replaced by representative players, leads to a coarse-grained description of strategic interactions. This method of summarizing complex strategic interactions by simple ones can be applied to compute Nash equilibria. We also provide an application to publi...

This paper explores the effect of market concentration Norwegian oil production sector (NPS) on Norway's second-largest industry, oilfield services companies (OFS). To capture this effect, we use system generalized method moments approach (GMM) to estimate an empirical model, spanning period 1993–2013. The findings indicate that increased is consistent with lower profitability companies, as bar...