In this paper we estimate the employment effects of a reduction in weekly normal hours in West German manufacturing on the basis of an econometric models using industry panel data. We distinguish between unskilled, skilled and high-skilled workers and show that labor demand elasticities with respect to real wages differ significantly between these three skill groups. Given wages, the direct emp...

Industrial agglomeration has gradually become an economic focus in recent years. Scholars has done a lot of research about the formation mechanism of industry agglomeration and its influencing factors, but the spatial correlation of variables has still been neglected. Firstly this paper gives a brief introduction about Geoda software and Matlab neural network toolbox, then use spatial statistic...

in recent years, the studies of location play a key role in success and stability of economic activities. location studies are under consideration in both national and international levels. meanwhile, identification of goals and methods of solving location problems have significant importance. the purpose of this paper is to examine spatial distribution of economic activities in 14 zones of esf...

It has been hypothesized that Medicare Part D, which provides prescription drug insurance for Medicare beneficiaries, may partially offset government spending on Part A and B services. The research literature broadly supports this hypothesis, but some uncertainty remains regarding the magnitude of the effect. Furthermore, little is known about the extent to which changes in beneficiary health m...

This paper surveys some of the theoretical and econometric issues involved in estimating growth models that include military spending. In particular, it critically evaluates the commonly used Feder-Ram model, detailing its problems and limitations and suggesting a more acceptable theoretical approach. It also surveys the econometric issues involved in estimating these models and uses a panel of...

The software for spatial econometrics available in the R system statistical computing is reviewed. methods are illustrated a historical perspective, highlighting main lines of development and employing historically relevant datasets examples. Estimators tests cross-sectional panel models based either on maximum likelihood or generalized moments presented. paper concluded reviewing some current ...

This paper proposes a Bayesian nonparametric regression model of panel data for sequential pattern classification. The proposed method provides a flexible and parsimonious model that allows both time-independent spatial variables and time-dependent exogenous variables to be predictors. Not only this method improves the accuracy of parameter estimation for limited data, but also it facilitates m...

The authors offer a unified method extending traditional spatial dependence with normally distributed error terms to a new class of spatial models based on the biparametric exponential family of distributions. Joint modeling of the mean and variance (or precision) parameters is proposed in this family of distributions, including spatial correlation. The proposed models are applied for analyzing...

Since the reform and opening up, China’s rapid economic growth mainly depends on industrial development mode of “high energy consumption high pollution,” which has caused serious haze pollution. In order to achieve goal control sustainable development, we need give full play role technological innovation. Empirical analysis effect innovation theoretical significance practical value. Based panel...