Developing spatial econometrics functions in R can not only enable analysts to advance our own techniques using convenient interpreted language features. Placing spatial econometrics and more generally spatial statistics in the context of an extensible data analysis environment also exposes similarities and differences between traditions of analysis. These can be fruitful, as is explored here i...

during the 1960’s, many as was firmly supported by the historical founders of econometrics, had hoped that econometrics would provide a sound scientific foundation for econometrics in which each element of specification would be determined primarily on the basis of economic theory. however, due to misusing of econometrics and also wide usage of the so called cookbook econometrics, many research...

this study determines the impact of e-commerce (ec) on some of important economic criteria including total factor productivity( tfp) of iran country as a developing country in comparison with us standard as a developed country through analyzing and calculating interrelated issues. the model is based on both econometrics and growth accounting approach to fill the gaps of previous studies. on the...

This paper examines the little-known connection between econometrics and accounting invoked by Paweł Ciompa, who first introduced term in 1910. Since then, research statistical (econometric) analysis has developed parallel. It is argued that contemporary methodologically closer to than ever before. concentrates on origins of econometric methodologies currently use research, beginning with Ciomp...

This chapter reviews the econometric issues involved in estimating models of the competitive acquisition of military capability. Econometrics involves the synthesis of theory, data and statistical methods thus in reviewing the econometrics of arms races, we will pay as much attention to theory and data as we do to statistical methods. After discussing the choice of data and the theoretical issu...

Regression analysis is known as statistical methods applied to model and analyze the relationship between variables. method can be examined parametric, non-parametric semiparametric regression methods.
 The parametric assumes that dependent variable in a linear with independent variables shape of known. If these assumptions are not met, applied. However, cause difficulties especially inter...

The paper considers methods of parametric optimization a dynamical system, which is described by system differential equations. gradient the functional in form Boltz found, basis such as descent. Another method based on application sensitivity function.

With 23 core econometrics journals now in operation, this study fills a gap the literature by cataloguing editorial specifications of each journal, and, more importantly, assessing their impact based on citations to research published over 15-year period beginning 2001 and ending 2015. Our investigation reveals that about one-half all publish an online format only, while others both in-print. A...