Zahra Moshfegh; Golrooz Ramezandeh Valis; Afsaneh Sherkat; Mohadeseh Soleimani; Ali Asghar Banouei
Volume 19, Issue 58 , April 2014, , Pages 117-152
Abstract
There are several methods of updating input-output coefficient matrix in last six decades, but there are still issues about RAS and adjusted RAS methods which have been focus of input-output analysts in recent years. One challenging issue is the relationship between more exogenous, superior or additional ...
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There are several methods of updating input-output coefficient matrix in last six decades, but there are still issues about RAS and adjusted RAS methods which have been focus of input-output analysts in recent years. One challenging issue is the relationship between more exogenous, superior or additional information of target year in adjusted RAS method and its statistical reduction error relative to conventional RAS method in updating the input-output coefficient matrix. Some analysts observe the positive relationship, whereas others by focusing on the nature and criteria of exogenous information opine that using more exogenous information in the adjusted RAS will not necessarily reduce the statistical errors compared to conventional RAS method. The existing evidence in Iran is around the findings of the positive relationship which has in fact lead to the common belief between compilers and also users of table in Iran. In this article we attempt to examine this issue by means of two symmetric input-output tables of the years 1996 & 2001 by posing two main questions. The first question: Is there any relationship between more exogenous information in adjusted RAS method compared to conventional RAS method in reducing statistical errors? Second question: Do the nature and criteria of more exogenous information, irrespective of more or less cells; have an influence on increase or reduction of statistical errors in updating coefficients? Our findings do not support the existing common belief among the compilers and users of Input-Output Table in Iran and reveal the followings: 1- The adjusted RAS method, in some of exogenous information, is not preferable to conventional RAS method. 2: Measurement of credibility of updated coefficients depends on choice of the nature and criteria of exogenous information, and 3: Using more exogenous information of the target year would not necessarily lead to decrease of statistical errors in the updated coefficients.
Ali Faridzad; Soheila Parvin; Ali Asghar Banoue
Volume 16, Issue 47 , July 2011, , Pages 105-127
Abstract
Reforming Iran’s tax system is one of the most important issues due to the role of government’s expenditures and uncertainty in oil income. Therefore the modern value-added tax system is recognized as an approach by which tax transparency and tax structure reform can be enabled. However, ...
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Reforming Iran’s tax system is one of the most important issues due to the role of government’s expenditures and uncertainty in oil income. Therefore the modern value-added tax system is recognized as an approach by which tax transparency and tax structure reform can be enabled. However, increase in prices is an impact of applying this system. In this paper we have taken the advantage of symmetric product-by-product input-output table with basic prices to study the impacts of implementing value-added tax systems. With the help of IO-SAM software, this is the first time to set the Make and Use matrix on price basis of the year 1378. This table is the only table that can be used in analyzing price impacts caused by value-added tax system. The results illustrate; a 3-percent value added tax rate leads to increase in level of prices for about 1.5 percent, without consideration of any tax exemption. After exempting subject products of article 12 of value-added tax law, this index reaches 0.8 percent. Moreover, our examinations identify a 2.99 housing service price impact as the highest among the other 119 products’ in the economy. This rather high impact is generally rooted in its being not interchangeable in the as well as its overweighting demand.
