Showing 30 results for Panel Data
Manizheh Bratzadeh, Javad Harati, Mohammad Lashkari,
Volume 9, Issue 33 (10-2018)
Abstract
Money laundering is an illegal practice that legitimizes the income from illegal activities during a legitimate process.Trade-based money laundering (TBML) as one of the newest and most complicated types of money laundering has negative effects on economic, social and political aspect of a society.The most important objective of the present study is to investigate the effect of various factors on trade based money laundering in Iran using the Ferwerda Gravity model.For this purpose the effective factors on trade base money laundering between iran and some selected trade partners are investigated by the use of a random effect model during the period 1999-2012. The results indicate that a great significant part of the trade based money laundering flow between Iran and selected trade partners can be explained by the the Ferwerda Gravity model. Accordingly, gorss doimestic product(GDP), trade volume, geographical, cultural, population and attractiveness variables have a significant effect on the amount of trade based money laundering in Iran.This means that with the increase in trade flow, money laundering opportunities resulted from the trade channel, that is hidden in it, will also increase. These results can be used by policy makers for designing policies to combat money laundering particularly coming from trade channel.
Aziz Arman, Mis Batool Azari Beni,
Volume 9, Issue 34 (12-2018)
Abstract
Fluctuations in housing prices in recent years in Iran has always been one of the most important economic issues on the economic welfare changes affect lifetime. In this paper, the effects of housing on the dynamics of income generations age is examined. This phenomenon type of model is designed to assess the generation of data building. The model is designed household budget generations by combining cross-sectional data from households in the years 2007 to 2015 are tracking. In this research, in order to clarify the contents of the review results in four steps without shock and shock 5, 10 and 15 percent reported. The results show that the average income of households without shock reduced from 86 years to 89 and then 89 years with little speed has increased, although the increase in revenue in less than 86 years is 90 years. As well as small shock in 2007 has led to middle income households in that year and the following years than before the occurrence of shocks is reduced. While the occurrence of a great shock (15%) reduces the average household income has been greatly. This could mean that in the event of a large shock of vulnerable households are barely able to restore income dropped while repairing a small shock is possible.
Alireza Kazerouni, Hosein Asgharpour, Ali Aghamohamadi, Elham Zokaei Alamdari,
Volume 10, Issue 37 (10-2019)
Abstract
This study examines the relationship between per capita income and per capita dioxide emissions in the form of a new definition of the Environmental Kuznets Curve, to investigate how corruption influences the income level at the turning point of the relationship between per capita dioxide emissions and income, in developed and developing countries the period 1994-2013 through the use of a panel data model. Our results support the Environmental Kuznets Curve hypothesis for developed countries and existence of an U-shaped relation for developing countries. We find evidence that the higher the country's degree of corruption, the higher the per capita income at the turning point for developed countries and the lower the per capita income at the turning point for developing countries than when corruption is not accounted for. Also, the share of renewable energy in both groups of countries has a negative and significant effect on per capita dioxide emissions, but the positive effect of urbanization rate in developed countries is significant and in developing countries is not.
Abolfazl Shahabadi, Hossein Raghfar, Neda Solgi, Ali Moradi,
Volume 10, Issue 38 (12-2019)
Abstract
Insurance as a central risk-taking institution as well as one of the investment institutions increases economic participation, investment development and stimulating economic growth. Therefore, identification of the effective factors on the insurance penetration in developing countries seems necessary. In this regard, the present study attempted to investigate the impact of national competitiveness on insurance penetration coefficient in 20 developing countries during the period 2007-2017. The research model was estimated using panel data and generalized moment’s method in two case. In the first case, the sub-indicators of national competitiveness including basic requirements, efficiency enhancer’s factors and innovation and sophistication factors were used as key variables in the research, and in the second case, the overall competitiveness index is used as a key variable in the research model. The results showed that the effect of overall competitiveness index and its sub-indicators on insurance penetration was positive and significant. Also, the effect of control variables, including per capita income and urbanization rate on insurance penetration is positive and significant, and the effect of dependency ratio on insurance penetration is negative and significant.
Ali Kiani, Karim Eslamloueyan, Phd Roohollah Shahnazi, Parviz Rostamzadeh,
Volume 10, Issue 38 (12-2019)
Abstract
In recent years, some research has focused on the importance of the origin of an oil shock for macroeconomic dynamics in both oil-exporting and importing countries. The existing literature lacks a proper open Stochastic Dynamic General Equilibrium (DSGE) framework to investigate the effect of the origins of oil shocks on macro variables in a two-country model consisting of an oil-exporting county and an oil-importing country. To this end, we develop and solve a new Keynesian DSGE model to show how the different oil shocks originating from oil supply or oil demand, might have diverse impacts on key macroeconomic variables in oil-exporting and importing counties. For the case study, we use data from Iran as an example of an oil-exporting country that trades with the rest of the world. Our DSGE model is estimated by using the Bayesian method for the period 1986:1-2017:4. The result shows that an oil shock originated from the shortage of oil supply (an exogenous decrease in Iran's oil production) decreases total production, non-oil trade, employment, inflation and consumption in this oil-exporting country. While a negative oil supply shock increases production costs and reduces production and consumption in Iran. However, an oil shock originated from an increase in the demand for oil raises output, non-oil trade, employment, consumption, and inflation in Iran as an oil-exporting country while a demand-side oil shock boosts production and increases inflation in this country.
Jafar Zhilaei Aghdam, Ali Reza Daghighiasli, Marjan Daman Kashide, Ali Asmailpor Magari,
Volume 11, Issue 40 (6-2020)
Abstract
The relationship between external debt and economic growth is one of the important issues in macroeconomics literature and has been considered in empirical studies. So, in this paper the long-run relationship among external government debt and economic growth in 58 selected developing countries for 1985-2018 by applying a pool mean group method which is suggested by Pesaran & Smith. The main empirical results showed that there is a long-run relationship between external debt and economic growth. Also, increase in growth in selected countries in addition to the influence of produce factors, labor, capital stock and monetary policy, influence of public debt. Also, capital stock, open economic, financial balance and saving variables has positive effect and population growth and Government revenue has negative effect on economic growth.
Shahryar Zaroki, Mastaneh Yadolahi Otaghsara, Arman Yousefi Barfurushi,
Volume 11, Issue 42 (12-2020)
Abstract
The lack of social security supports and labor market laws in informal employment has strengthened the expectation that poverty in a family in which the head of the household chooses informal employment is greater than in a family in which the head of the household works in the formal sector. Hence, this study attempts to investigate the effect of informal employment with other factors affecting household’s poverty. To this aim, by using the microdata plan of costs and incomes of urban and rural households in 2018, first, the poverty line was calculated based on 66% of the average annual household expenditures by provincial division for urban and rural areas; and poor households were identified as well. Then, according to the presented index in this study, heads of households' employment types were formally and informally determined. In the primary data processing, a comparison between households with employed heads showed that the highest poverty rates were for households whose heads work in informal employment. Next, the estimation of the research model with the dependent variable limited to the basis of pseudo-panel data and random effects in logistic regression was performed in a separate format for 13248 urban households and 13115 rural households in 31 provinces. The results showed that the informal employment of the head of the households has a direct effect on the possibility of household poverty and the rate of influence in urban areas is higher than in rural areas. Furthermore, the head of the household's education, age, and gender have an indirect effect; and the square number of age and size of the household variables have a direct effect on the probability of household poverty. In such a way that the desired effect of education and age, and the undesired effect of the household dimension on the probability of household poverty in urban areas is greater than in rural areas.
Mohammad Noferesty, Mehdi Yazdany, Fahimeh Mohebbinia,
Volume 11, Issue 42 (12-2020)
Abstract
Over the past decade, Iran's economy has undergone a major and rapid experience of currency changes. One of the most important questions during the currency changes of the last decade is to answer the important question of how much the devaluation of the Rial has led to an increase in domestic prices and the extent to which these effects affect various dimensions of the domestic economy. Measuring the range of price changes in response to currency changes can be found in the phenomenon of currency transitions. The aim of this study is to analyze the inflationary effects of foreign exchange passage on the levels of imported and producer prices at different stages of production and separately in the productive sectors of the economy and also to determine the effective factors in foreign exchange passage by resorting to supply side variables in Iran's economy. The present study presents a new approach for measuring exchange rate crossings on production chains by combining econometric tools and Input-Output table in embedding and separating the estimation of exchange rate pass coefficients in two stages on import and producer prices. Industry by using the tools of Input-Output table segmentation and considering variables based on information specific to each economic sector, such as; The import sector, the export sector, the production of each sector, provide sector linkages in estimating the exchange rate passage in the Iranian economy. These measures are based on three types of time series analysis, Input-Output analysis and Panel data analysis from 1986 to 2017. Findings of the research in stage 1 indicate the high dependence of many industrial and economic sectors of Iran on imports and low elasticity of imports to the exchange rate and no substitution by domestic products. In the second stage, the coefficients of exchange rate passage on the producer are positive and significant in almost all economic sectors, and this fact confirms the effectiveness of the producer price index in the Iranian economy from changes in the exchange rate (through imports). also; The passage of the exchange rate on producer prices varies between different years in different sectors, and in some economic sectors these changes have increased over time, which indicates the increasing dependence and increasing impact of import prices on producer prices over time. It is in the policies adopted. Also, the results in stage 3 indicate a negative and significant effect of export share coefficients and the natural logarithm of domestic production and have a positive and significant effect of share coefficients of intermediate import inputs and inter-sectoral linkages, but the share of intermediate imports among other variables. It has the highest impact on the exchange rate of economic sectors
Davood Manzoor,
Volume 12, Issue 46 (12-2021)
Abstract
Higher Education (HE) in Iran have been subject to a major expansion and massification in the recent years, in a way that number of students approximately tripled from 2006 to 2016. This would have possibly affected labor market or unemployment rate of the country. Considering both provincial and national level, this study investigates the relationship between HE expansion and unemployment rate in the recent era (2006-2018) empirically. In this regard, number of assignments, students, and the state budget allocated to HE institutions are taken as variables indicating HE expansion so that their relationship with unemployment rate can be explored. The empirical methodology of this study in national level is to consider trends and calculating correlations for different lags. In provincial level, Granger causality and dynamic panel data regression with systemic GMM estimators are utilized as methods of the analysis. The results show a positive significant correlation exists between the state budget of HE and unemployment rate. Moreover, in provincial level, number of students and assignments Granger cause unemployment in some lags. Dynamic panel data model with numerous specifications also approve a positive significant relationship between HE expansion in provinces and their unemployment rate, however, the effect is not the same considering different models, especially for number of students.
Dr. Shahryar Zaroki, Dr. Mani Motameni, Mis. Niloofar Gorgani Firoozjah,
Volume 13, Issue 48 (9-2022)
Abstract
The aim of this study was to analyze the effect of commodity group expenditures on the probability of urban and rural household poverty in Iran. First, using household expenditure-income data in 1399, the poverty line was calculated based on the method of 66% of the average per capita expenditure, which is higher than urban households than rural households. In the following, the research model is limited by a dependent variable and is estimated based on pseudo-panel data in logistic regression by random effects method. The results showed that the expenditures of the communication group have the greatest impact on the probability of household poverty in urban and rural areas and the impact of this group of goods in urban areas is greater than rural areas. In contrast, hotel and restaurant costs in urban areas have a greater positive effect on reducing the likelihood of household poverty than in rural areas. But the cost of durable goods in urban areas, transportation in rural areas, and the cost of recreation and cultural affairs do not have a significant effect on the likelihood of household poverty. There is also no significant difference between the impact of furniture and household appliances, clothing and footwear and health care in urban and rural areas. Between social characteristics of the household, variables of gender and education have a negative effect on the probability of poverty and variables of household dimension and marital status have a direct effect on the probability of poverty of urban households, but these variables have no significant effect on the probability of poverty of rural households.
