<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Examination of Real Shocks and Production Fluctuations of Iran’s Economy</ArticleTitle>
<VernacularTitle>Examination of Real Shocks and Production Fluctuations of Iran’s Economy</VernacularTitle>
			<FirstPage>17</FirstPage>
			<LastPage>30</LastPage>
			<ELocationID EIdType="pii">3031</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Nader</FirstName>
					<LastName>Mehregan</LastName>
<Affiliation>Professor of Economics, Bu-Ali Sina University, Hamedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ezatollah</FirstName>
					<LastName>Abbasian</LastName>
<Affiliation>Associate Professor of Economics, Bu-Ali Sina University, Hamedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Saeed</FirstName>
					<LastName>Isazadeh</LastName>
<Affiliation>Associate Professor of Economics, Bu-Ali Sina University, Hamedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ebrahim</FirstName>
					<LastName>Faraji</LastName>
<Affiliation>Ph.D. Student of Economics, Bu-Ali Sina University, Hamedan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>New economies undergo significant short-run variations in aggregate output and employment. Understanding the causes of aggregate fluctuations is a central goal of macroeconomics. RBC models consider real shocks as the main cause of business cycles. Within RBC models, the purposes of this study are estimating the real shocks of Iran’s economy and investigating its effects on the economy’s fluctuations. For these purposes, a method that is introduced by McCallum (1989) has been applied during the years 1959-2014. According to the results presented in this study, the highest amount of persistency of the real shocks is related to the oil sector then to the agricultural sector. The variability of oil sector shocks is much more than the variability of agriculture sector shocks. A periodic manner with parallel and durable fluctuations can be seen in the shocks. Negative effects are more intense than positive effects. It seems, Iran’s economy undergoes five real business cycles in 56-year of the study. Also, the production fluctuations due to real shocks are a hump-shape process. These fluctuations peak after 1 or 2 years, then decline.</Abstract>
			<OtherAbstract Language="FA">New economies undergo significant short-run variations in aggregate output and employment. Understanding the causes of aggregate fluctuations is a central goal of macroeconomics. RBC models consider real shocks as the main cause of business cycles. Within RBC models, the purposes of this study are estimating the real shocks of Iran’s economy and investigating its effects on the economy’s fluctuations. For these purposes, a method that is introduced by McCallum (1989) has been applied during the years 1959-2014. According to the results presented in this study, the highest amount of persistency of the real shocks is related to the oil sector then to the agricultural sector. The variability of oil sector shocks is much more than the variability of agriculture sector shocks. A periodic manner with parallel and durable fluctuations can be seen in the shocks. Negative effects are more intense than positive effects. It seems, Iran’s economy undergoes five real business cycles in 56-year of the study. Also, the production fluctuations due to real shocks are a hump-shape process. These fluctuations peak after 1 or 2 years, then decline.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Production Fluctuations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Real Shocks</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Real Business Cycle</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">McCallum Method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3031_9e18c38b12edc3df6652768d7bbb24e5.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Measuring the External Efficiency of Formal Education and Its Impact on Economic Growth in Iran During 1975-2013</ArticleTitle>
<VernacularTitle>Measuring the External Efficiency of Formal Education and Its Impact on Economic Growth in Iran During 1975-2013</VernacularTitle>
			<FirstPage>31</FirstPage>
			<LastPage>44</LastPage>
			<ELocationID EIdType="pii">3105</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mandana</FirstName>
					<LastName>Ghafoori Sadatieh</LastName>
<Affiliation>Ph.D. Student of Development Economics, Ferdowsi University, Mashhad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Khoda Parast Mashhadi</LastName>
<Affiliation>Associate Professor of Economics, Ferdowsi University, Mashhad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Salimifar</LastName>
<Affiliation>Professor of Economics, Ferdowsi University, Mashhad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Kazemi</LastName>
<Affiliation>Professor of Human Resourse Management, Ferdowsi University, Mashhad, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>06</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>This study aims to measure the external efficiency of formal education and then evaluating the effects of economic growth in Iran during 1957 to 2013. External efficiency, is the responsibility of educational system to social system in term of individual, economic, political and cultural dimensions. The research method to measure the relative efficiency is the Data Envelopment Analysis (DEA) method with the input-oriented and constant returns to scale, and efficient units are ranked using Anderson-Peterson (AP). Using the econometric method of GMM to evaluate the effect of the external efficiency of education on the economic growth. Results showed that in 85 percentages of examined years, external efficiency of education is acheived. Inputs that affect respectively on the external efficiency are educational equity, technology infrastructure, education expenditures and quality. Outputs that affect respectively on the external efficiency are freedom, environment protection, family sustainability and establishment. For inefficient units, the most of output shortage related to security and maximum output surplus is for education expenditures. External efficiency of education, labor and capital have a positive effect on economic growth in Iran and external efficiency of education is the cause of economic growth.</Abstract>
			<OtherAbstract Language="FA">This study aims to measure the external efficiency of formal education and then evaluating the effects of economic growth in Iran during 1957 to 2013. External efficiency, is the responsibility of educational system to social system in term of individual, economic, political and cultural dimensions. The research method to measure the relative efficiency is the Data Envelopment Analysis (DEA) method with the input-oriented and constant returns to scale, and efficient units are ranked using Anderson-Peterson (AP). Using the econometric method of GMM to evaluate the effect of the external efficiency of education on the economic growth. Results showed that in 85 percentages of examined years, external efficiency of education is acheived. Inputs that affect respectively on the external efficiency are educational equity, technology infrastructure, education expenditures and quality. Outputs that affect respectively on the external efficiency are freedom, environment protection, family sustainability and establishment. For inefficient units, the most of output shortage related to security and maximum output surplus is for education expenditures. External efficiency of education, labor and capital have a positive effect on economic growth in Iran and external efficiency of education is the cause of economic growth.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">External Efficiency</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Economic Growth</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Data Envelopment Analysis (DEA)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Garanger Causality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">GMM</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3105_b82ea4c9fec1ecdec71a8497d04083f6.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Examination of Affecting Factors on Iran’s Human Development Index Using Bayesian Model Averaging Approach</ArticleTitle>
<VernacularTitle>Examination of Affecting Factors on Iran’s Human Development Index Using Bayesian Model Averaging Approach</VernacularTitle>
			<FirstPage>45</FirstPage>
			<LastPage>60</LastPage>
			<ELocationID EIdType="pii">3039</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad Saeed</FirstName>
					<LastName>Noori Naeini</LastName>
<Affiliation>Faculty Member of Shahid Beheshti University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hesameddin</FirstName>
					<LastName>Ghasemi</LastName>
<Affiliation>Ph.D. Student of Economics, Shahid Beheshti University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Maryam Sadat</FirstName>
					<LastName>Kazemi Torbaghan</LastName>
<Affiliation>M.A. of Entrepreneurship Management, Tehran University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>07</Month>
					<Day>15</Day>
				</PubDate>
			</History>
		<Abstract>Nowadays, human development plays a key role in development studies. The man is the main pillar of sustainable development. Human development Index has been the most popular indicator of development. Knowing the variables involved in the estimation of human development index is essential in choosing the appropriate model that can accurately measure the human development index. In this paper, we consider the uncertainty modeling framework for study of the factors that affect the human development index. For this purpose, we use the Bayesian model averaging which is appropriate with the assumption of model uncertainty. In this study, by estimating 960000 regression equations, five variables are identified as non-fragile variables which is mentioned as follows: growth of oil revenues, growth of government health expenditure, growth of primary education, inflation and capital stock. Other variables lost their effect in the presence of non--fragile variables. Therefore, it can be concluded that in order to raise the index of human development in the country, it is necessary to pay more attention to the mentioned variables.</Abstract>
			<OtherAbstract Language="FA">Nowadays, human development plays a key role in development studies. The man is the main pillar of sustainable development. Human development Index has been the most popular indicator of development. Knowing the variables involved in the estimation of human development index is essential in choosing the appropriate model that can accurately measure the human development index. In this paper, we consider the uncertainty modeling framework for study of the factors that affect the human development index. For this purpose, we use the Bayesian model averaging which is appropriate with the assumption of model uncertainty. In this study, by estimating 960000 regression equations, five variables are identified as non-fragile variables which is mentioned as follows: growth of oil revenues, growth of government health expenditure, growth of primary education, inflation and capital stock. Other variables lost their effect in the presence of non--fragile variables. Therefore, it can be concluded that in order to raise the index of human development in the country, it is necessary to pay more attention to the mentioned variables.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bayesian Approach</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bayesian Model Averaging</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fragile</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Human Development Index</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Model Uncertainty</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3039_1f0f842a8bdeb9b40158f0d65ac19aae.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Non-Linear Effects of Economic Globalization on Income Inequality in Iran: Smooth Transition Regression (STR) Model</ArticleTitle>
<VernacularTitle>Non-Linear Effects of Economic Globalization on Income Inequality in Iran: Smooth Transition Regression (STR) Model</VernacularTitle>
			<FirstPage>61</FirstPage>
			<LastPage>76</LastPage>
			<ELocationID EIdType="pii">3064</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Jafari</LastName>
<Affiliation>Assistant Professor of Economics, Lorestan University, Lorestan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>07</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>Due to the important role of economic globalization in income inequality of countries, the purpose of this paper is to investigate the non-linear impact of economic globalization on income inequality in Iran during 1979-2014. For this purpose, is used the smooth transition regression (STR) model. The estimated Smooth Transition Regression (STR) model supports a nonlinear threshold behavior in the relationship between economic globalization and income inequality in the country in a two regime structures with positive effect and a threshold level of about 26/15%. so that increases the intensity of this positive impact with crossing threshold level and entering the second regime.</Abstract>
			<OtherAbstract Language="FA">Due to the important role of economic globalization in income inequality of countries, the purpose of this paper is to investigate the non-linear impact of economic globalization on income inequality in Iran during 1979-2014. For this purpose, is used the smooth transition regression (STR) model. The estimated Smooth Transition Regression (STR) model supports a nonlinear threshold behavior in the relationship between economic globalization and income inequality in the country in a two regime structures with positive effect and a threshold level of about 26/15%. so that increases the intensity of this positive impact with crossing threshold level and entering the second regime.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Economic Globalization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Income Inequality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Non-Linear Effect</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Iran</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Smooth Transition Regression (STR) Model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3064_b2066091600e7bcb0388c44eae860cbf.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Assessing the Importance of Health Sector Using The Partial Extraction Method, the Case Study of Iranian Economy</ArticleTitle>
<VernacularTitle>Assessing the Importance of Health Sector Using The Partial Extraction Method, the Case Study of Iranian Economy</VernacularTitle>
			<FirstPage>77</FirstPage>
			<LastPage>96</LastPage>
			<ELocationID EIdType="pii">3391</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Solaleh</FirstName>
					<LastName>Tavassoli</LastName>
<Affiliation>Ph.D. Student in Economics, Allameh Tabatabai University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Parisa</FirstName>
					<LastName>Mohajeri</LastName>
<Affiliation>Assistant Professor of Ecinomics, Allameh Tabatabai University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>12</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>There is no doubt that improving the level of social welfare, meeting the basic needs and achieving to high economic growth rate are the important aims of policy makers. On one hand, coinciding with the year in which codification and approval of 6th development program is on the agenda of parliament and government and on the other hand, lack of financial resources may lead to policy makers have encountered with the issue of identifying key sectors and evaluating importance of economic sectors. In this paper, for the first time we have studied the consequences of 10 percent shutdown in the health sector supply on output and value added of other sectors. For answering this question, we have applied partial extraction method which proposed by Dietzenbacher and Lahr (2013). In addition, we have investigated the dependency of health sector on other economic sectors by means of 10 percent partial extraction of sector’s supplies. Updated domestic Input-Output Tables in 2011 which aggregated in 19 sectors is the basis of calculation. The results show that first; the economy’s total value added was decreased 0,43 percent due to partial extraction (10 percent) of health sector. Second, public and private health sectors in comparison with other subsectors of health are more important because, the total value added of the economy was diminished 0,03 and 0,02 percent because of the reduction in their deliveries. Third, following partial extraction of health sector and its subsectors, the largest decreases in value added take place in the medical instruments, water, electrics and gas, other services and business services while public affairs and education and oil and gas, had the least changes in the value added that reflected low dependency of mentioned sectors on health sector. Fourth, the health sector is most dependent on the manufacturing sector and its value added decreased 0,3 percent by partial extraction on manufacturing sector.</Abstract>
			<OtherAbstract Language="FA">There is no doubt that improving the level of social welfare, meeting the basic needs and achieving to high economic growth rate are the important aims of policy makers. On one hand, coinciding with the year in which codification and approval of 6th development program is on the agenda of parliament and government and on the other hand, lack of financial resources may lead to policy makers have encountered with the issue of identifying key sectors and evaluating importance of economic sectors. In this paper, for the first time we have studied the consequences of 10 percent shutdown in the health sector supply on output and value added of other sectors. For answering this question, we have applied partial extraction method which proposed by Dietzenbacher and Lahr (2013). In addition, we have investigated the dependency of health sector on other economic sectors by means of 10 percent partial extraction of sector’s supplies. Updated domestic Input-Output Tables in 2011 which aggregated in 19 sectors is the basis of calculation. The results show that first; the economy’s total value added was decreased 0,43 percent due to partial extraction (10 percent) of health sector. Second, public and private health sectors in comparison with other subsectors of health are more important because, the total value added of the economy was diminished 0,03 and 0,02 percent because of the reduction in their deliveries. Third, following partial extraction of health sector and its subsectors, the largest decreases in value added take place in the medical instruments, water, electrics and gas, other services and business services while public affairs and education and oil and gas, had the least changes in the value added that reflected low dependency of mentioned sectors on health sector. Fourth, the health sector is most dependent on the manufacturing sector and its value added decreased 0,3 percent by partial extraction on manufacturing sector.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Health Sector</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Input-Output Table</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Partial Extraction Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Value Added</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3391_0058ec51b11bb28425db16b42f6bccb6.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Modeling Healthcare Expenditure among Iranian Households</ArticleTitle>
<VernacularTitle>Modeling Healthcare Expenditure among Iranian Households</VernacularTitle>
			<FirstPage>97</FirstPage>
			<LastPage>110</LastPage>
			<ELocationID EIdType="pii">3788</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Soheila</FirstName>
					<LastName>Savojipour</LastName>
<Affiliation>Ph.D. Student in Health Ecinomics, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Abbas</FirstName>
					<LastName>Assari Arani</LastName>
<Affiliation>Faculty Member of Management and Economics, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Lotfali</FirstName>
					<LastName>Agheli</LastName>
<Affiliation>Assistant Professor of Ecinomics, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Hasanzadeh</LastName>
<Affiliation>Ophthalmologist and Senior Health System Researcher, IHIO</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>12</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>This study models healthcare expenditure in household level with the aim of utilizing enough health goods and services in Iran. For this purpose, first suitable econometrics methods for health sector are investigated and then main determinants of households’ healthcare expenditure are introduced by using the sample selection model. Model estimation has been based on the socio-economic and demographic information of 38513 Iranian households, derived from household’s income- expenditure survey (HIES) in 2011. The results show that the increasing of household&#039;s members (children, youth and elderly) and women proportion, to be married of household&#039;s head, smoking, having health insurance and living in urban and more development areas encourage households to purchase health goods and services in respective market. On the other hand, household&#039;s healthcare expenditure will increase if household consumes more amount of Tobacco, family number, especially the number of elderly members is more and the larger proportion of family members belongs to women. Moreover, households that belong to middle income groups, and who have health insurance and their header is married spend higher expenditure to purchase the health goods and services. This result is true about households which have house; their members are more educated and live in urban areas and provinces where more developed in terms of health facilities.</Abstract>
			<OtherAbstract Language="FA">This study models healthcare expenditure in household level with the aim of utilizing enough health goods and services in Iran. For this purpose, first suitable econometrics methods for health sector are investigated and then main determinants of households’ healthcare expenditure are introduced by using the sample selection model. Model estimation has been based on the socio-economic and demographic information of 38513 Iranian households, derived from household’s income- expenditure survey (HIES) in 2011. The results show that the increasing of household&#039;s members (children, youth and elderly) and women proportion, to be married of household&#039;s head, smoking, having health insurance and living in urban and more development areas encourage households to purchase health goods and services in respective market. On the other hand, household&#039;s healthcare expenditure will increase if household consumes more amount of Tobacco, family number, especially the number of elderly members is more and the larger proportion of family members belongs to women. Moreover, households that belong to middle income groups, and who have health insurance and their header is married spend higher expenditure to purchase the health goods and services. This result is true about households which have house; their members are more educated and live in urban areas and provinces where more developed in terms of health facilities.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Household's Health Expenditures</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Non-Stochastic Sample</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sample Selection Model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Heckman's Two Step Method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3788_3af9a23f0fc2e0f04d88fee647a4649b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Evaluation of Relative Efficiency of All Provinces in Terms of Human Development Using NDEA Method</ArticleTitle>
<VernacularTitle>The Evaluation of Relative Efficiency of All Provinces in Terms of Human Development Using NDEA Method</VernacularTitle>
			<FirstPage>111</FirstPage>
			<LastPage>126</LastPage>
			<ELocationID EIdType="pii">3116</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Abbas</FirstName>
					<LastName>Rezaei Pandari</LastName>
<Affiliation>Ph.D. of Industrial Management, Tarbiat Modarres University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Mahmudinejad</LastName>
<Affiliation>M.A. of Industrial Management, Tarbiat Modarres University, Tehran</Affiliation>

</Author>
<Author>
					<FirstName>Parisa</FirstName>
					<LastName>Bakhshi</LastName>
<Affiliation>Expert in Statistical Center of Iran, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>09</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>  &lt;br /&gt;By considering that the resources and accessible facilities are limited, achieving development, particularly high human development is important target in adjusting development plans; therefore in developing countries policy makers and planners are worried about recognition and analysis of accelerating factors in development process as well as diagnosis the barriers, which using of indexes and modern instruments to attain is necessary and evident. Human development is one of noticeable contexts for policy makers, planners and researchers which is measured by human development index (HDI). Criticisms of HDI and creation of nonparametric methods of performance evaluation have caused evaluation of human development by applying data envelopment analysis (DEA). The lack of recognition of sources of inefficiency is one of the weakness points in traditional approach in DEA, hence in this paper separation efficiency approach is used, which is based on according to process and network data envelopment analysis (NDEA). In this article by considering a two stage process for human development, which is inclusive making infrastructures and getting results, relative efficiency for human development is measured in all provinces in a five year period from 2010 to 2014. The results of research highlighted that Tehran and Alborz provinces had high efficiency in human development and on the other side in terms of human development compared to the remained provinces, Kurdistan, Mazandaran and Lorestan are ranked that at the end of table. Total efficiency separation illustrated that inefficiency in preparing human development infrastructures had more effect in total efficiency. &lt;br /&gt;&lt;br /&gt;&lt;br /&gt;</Abstract>
			<OtherAbstract Language="FA">  &lt;br /&gt;By considering that the resources and accessible facilities are limited, achieving development, particularly high human development is important target in adjusting development plans; therefore in developing countries policy makers and planners are worried about recognition and analysis of accelerating factors in development process as well as diagnosis the barriers, which using of indexes and modern instruments to attain is necessary and evident. Human development is one of noticeable contexts for policy makers, planners and researchers which is measured by human development index (HDI). Criticisms of HDI and creation of nonparametric methods of performance evaluation have caused evaluation of human development by applying data envelopment analysis (DEA). The lack of recognition of sources of inefficiency is one of the weakness points in traditional approach in DEA, hence in this paper separation efficiency approach is used, which is based on according to process and network data envelopment analysis (NDEA). In this article by considering a two stage process for human development, which is inclusive making infrastructures and getting results, relative efficiency for human development is measured in all provinces in a five year period from 2010 to 2014. The results of research highlighted that Tehran and Alborz provinces had high efficiency in human development and on the other side in terms of human development compared to the remained provinces, Kurdistan, Mazandaran and Lorestan are ranked that at the end of table. Total efficiency separation illustrated that inefficiency in preparing human development infrastructures had more effect in total efficiency. &lt;br /&gt;&lt;br /&gt;&lt;br /&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Human Development</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Network Data Envelopment Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Human Development Infrastructures and Performance Evaluation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3116_26166876cf4d250f62b44c1323059878.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Horizontal and Vertical Diversification Policies of Export and their Effect on Economic Growth: Markov Switching Approach</ArticleTitle>
<VernacularTitle>Horizontal and Vertical Diversification Policies of Export and their Effect on Economic Growth: Markov Switching Approach</VernacularTitle>
			<FirstPage>127</FirstPage>
			<LastPage>144</LastPage>
			<ELocationID EIdType="pii">3293</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Amiri</LastName>
<Affiliation>Assistant Professor, Faculty of Economics, Kharazmi University, Tehran , Iran</Affiliation>

</Author>
<Author>
					<FirstName>Marjaneh</FirstName>
					<LastName>Beshkhoor</LastName>
<Affiliation>Young Researchers and Elite Club, Mashhad Branch, Islamic Azad university, Mashhad, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>10</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>In this study, the effect of horizontal and vertical diversification policies on economic growth in Iran is investigated. The approach applied is Markov Switching regimes, for annual data series 1979-2015. The growth rates of horizontal and vertical diversification, consume expenditure, and investment as well as inflation rate are the variables which are used in this study. The results show that inflation rate, consume expenditure and vertical diversification growth have positive and significant effect, in both 0 and1 regimes, on economic growth. Furthermore, the horizontal diversification and investment growth also have positive effect on economic growth but only in 0 regime. Additionally, the predicted economic growth rate under three proposed scenarios, for 2016 and 2017 years, show that we can reach 8 percentage as medium growth rate in the sixth development program with emphasizing on vacant capacity, especially horizontal and vertical diversification policies.</Abstract>
			<OtherAbstract Language="FA">In this study, the effect of horizontal and vertical diversification policies on economic growth in Iran is investigated. The approach applied is Markov Switching regimes, for annual data series 1979-2015. The growth rates of horizontal and vertical diversification, consume expenditure, and investment as well as inflation rate are the variables which are used in this study. The results show that inflation rate, consume expenditure and vertical diversification growth have positive and significant effect, in both 0 and1 regimes, on economic growth. Furthermore, the horizontal diversification and investment growth also have positive effect on economic growth but only in 0 regime. Additionally, the predicted economic growth rate under three proposed scenarios, for 2016 and 2017 years, show that we can reach 8 percentage as medium growth rate in the sixth development program with emphasizing on vacant capacity, especially horizontal and vertical diversification policies.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Horizontal Diversification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vertical Diversification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Economic Growth</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Markov-Switching Model</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3293_ea6b8fbf47ee5d79ff296fe3b68b182e.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Intellectual Capital, Productivity Changes and Efficiency: Evidence of Iran’s Insurance Industry</ArticleTitle>
<VernacularTitle>The Intellectual Capital, Productivity Changes and Efficiency: Evidence of Iran’s Insurance Industry</VernacularTitle>
			<FirstPage>156</FirstPage>
			<LastPage>145</LastPage>
			<ELocationID EIdType="pii">3191</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Fathabadi</LastName>
<Affiliation>Assistant Professor of Economics, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>This study examines the impact of intellectual capital on changes in productivity and efficiency in Iran’s insurance firms for period 2008-2013. First, it estimated the Malmquist productivity index (MPI) and efficiency index with data envelopment analysis (DEA) approach. Second, this paper examines the impact of intellectual capital components (human capital, structural capital, financial capital) on changes in productivity and efficiency through panel data regressions. &lt;br /&gt; Our MPI findings indicate that most of insurance firms experienced decrease in productivity over the sample period; which it is due to decline in efficiency. The fixed effects estimation results reveal that intellectual capital and its individual components have significantly positive impacts on changes in productivity and efficiency of insurance firms. We suggest that general insurers in Iran should invest in intellectual capital, including improving their managerial skills, to gain sustainable growth in productivity. The findings of this study may lead to a better understanding of the relative changes in total productivity of general insurance firms. By identifying changes in efficiency and productivity, better management decisions can be made to achieve greater productivity.</Abstract>
			<OtherAbstract Language="FA">This study examines the impact of intellectual capital on changes in productivity and efficiency in Iran’s insurance firms for period 2008-2013. First, it estimated the Malmquist productivity index (MPI) and efficiency index with data envelopment analysis (DEA) approach. Second, this paper examines the impact of intellectual capital components (human capital, structural capital, financial capital) on changes in productivity and efficiency through panel data regressions. &lt;br /&gt; Our MPI findings indicate that most of insurance firms experienced decrease in productivity over the sample period; which it is due to decline in efficiency. The fixed effects estimation results reveal that intellectual capital and its individual components have significantly positive impacts on changes in productivity and efficiency of insurance firms. We suggest that general insurers in Iran should invest in intellectual capital, including improving their managerial skills, to gain sustainable growth in productivity. The findings of this study may lead to a better understanding of the relative changes in total productivity of general insurance firms. By identifying changes in efficiency and productivity, better management decisions can be made to achieve greater productivity.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Intellectual Capital</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Productivity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Efficiency</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Human Capital</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Structural Capital</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Financial Capital</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3191_351aa0be7b48eb69b33276a3cbdfbdf5.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Economic Growth and Development Research</JournalTitle>
				<Issn>2228-5954</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Effect of Political Risk on Foreign Direct Investment in Iran</ArticleTitle>
<VernacularTitle>The Effect of Political Risk on Foreign Direct Investment in Iran</VernacularTitle>
			<FirstPage>157</FirstPage>
			<LastPage>174</LastPage>
			<ELocationID EIdType="pii">3109</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Omolbanin</FirstName>
					<LastName>Jalali</LastName>
<Affiliation>Ph.D Candidate in Economics, Department of Economics, Yazd University, Yazd, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Habib</FirstName>
					<LastName>Ansari Samani</LastName>
<Affiliation>Assistant Professor of Economics, Department of Economics, Yazd University, Yazd, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Madjid</FirstName>
					<LastName>Hatefi Madjumerd</LastName>
<Affiliation>Ph.D in Economics, Department of Economics, University of Sistan and Baluchestan, Sistan and Baluchestan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>The aim of this study at first is to study the effective factors of FDI and then the estimation of these effects during 1983-2014. In this regard the causality relationship between FDI and political risk, GDP, trade openness index, inflation and exchange rate, has been investigated through Hsiao and Toda-Yamamoto tests. Then using a smooth transition regression model, the effect of determinants of foreign direct investment will estimated. In addition, results show that political risk, GDP and exchange rate are statistical cause of FDI, but trade openness index and inflation have no significant effect on foreign direct investment. In addition, the nonlinearity of model was also verified. The model showed that the FDI function can be investigated in the form of a structure with a two regime with threshold value of $ 2,000 million. Political risk in both regimes has a negative effect on foreign direct investment, but with the arrival to high regime, the sensitivity will be reduced. This relationship between the GDP and FDI is opposite.</Abstract>
			<OtherAbstract Language="FA">The aim of this study at first is to study the effective factors of FDI and then the estimation of these effects during 1983-2014. In this regard the causality relationship between FDI and political risk, GDP, trade openness index, inflation and exchange rate, has been investigated through Hsiao and Toda-Yamamoto tests. Then using a smooth transition regression model, the effect of determinants of foreign direct investment will estimated. In addition, results show that political risk, GDP and exchange rate are statistical cause of FDI, but trade openness index and inflation have no significant effect on foreign direct investment. In addition, the nonlinearity of model was also verified. The model showed that the FDI function can be investigated in the form of a structure with a two regime with threshold value of $ 2,000 million. Political risk in both regimes has a negative effect on foreign direct investment, but with the arrival to high regime, the sensitivity will be reduced. This relationship between the GDP and FDI is opposite.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Political Risk</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Foreign Direct Investment</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://egdr.journals.pnu.ac.ir/article_3109_7714d6e3679070ac0025e331a42774d4.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
