The Journal of Economic Literature codes classification system (JEL) published by the American Association (AEA) is de facto standard for research literature in economics. JEL used to classify articles, dissertations, books, book reviews, and working papers EconLit, a database maintained AEA. Over time, it has evolved extended with over 850 subclasses. This paper reviews history development sys...

Ragnar Frisch on various occasions claimed that he had invented input-output analysis in a 1934 paper titled “Circulation planning”. Although prominently published in Econometrica, Frisch’s contribution has hardly been discussed in the input-output literature. Frisch’s paper was an attempt to explain the incapsulating phenomena of economic depressions and thus arose from a different motivation ...

manufacture of coke, refined petroleum products and nuclear fuel is one of the isic (international standard industrial classification of all economic activities, rev.2) that produced 8.5 percent of industry value-added in iran in 2007. isfahan, tehran, khuzestan, hormozgan, and markazi provinces accounted for 90 percent of the value added in this sector. to determine competitive advantage in th...

the sources of output growth of iranian agriculture over the years 1986-2001 has been examined, using a decomposition method within the input-output (io) framework. the three comparable io tables of 1986, 1991, and 2001 have been employed as the main data sources. output changes from a demand side perspective, and decomposition of the growth of output into components attributable to consumption...

Graph Neural Networks (GNNs) are a popular machine learning framework for solving various graph processing applications. This exploits both the topology and feature vectors of nodes. One important applications GNN is in semi-supervised node classification task. The accuracy using depends on (i) number (ii) choice training In this paper, we demonstrate that increasing nodes by selecting from sam...

In this article we describe five major classification approaches and provide a comparative analysis on a multispectral image. First we define the classification problem as following. Given a sample set of input-output pairs, the objective of supervised classification is to find a function that learns from the given input-output pairs, and predicts an output for any unseen input (but assumed to ...

this study was designed to find which one of the three different presentations, i.e. input, input-output, and output-input, will be more effective in iranian efl learners' vocabulary acquisitions. to this end, first 54 out of 64 female students, aged from 19 to 23 years, with an average of 21, were selected out of starter-level efl learners at the university of tarbiat moalem in bandar abb...