Showing 6 results for ESLAMLOUEYAN
Jafar Ghaderi, Karim ESLAMLOUEYAN, Sakineh Owjimehr,
Volume 11, Issue 3 (10-2011)
Abstract
An autoregressive distributed lag (ARDL), approach to cointegration analysis is used to study the short- and long-run determinants of housing investment in Iran over the period of 1375:3-1385:4. The explanatory variables include house price index, construction cost, household income, money supply, bank’s deposit interest rate, exchange rate, stock price index and gold coin price.
The short and long run results indicate that house price index, household income, exchange rate and money supply have positive and construction cost and stock price index have negative effects on housing investment. However, the housing investment is not affected by gold coin price and bank’s deposit interest rate. This research also indicates that the eslasticities of housing investment with respect to house price index, construction cost, money supply and household income are greater than one. However, it was found to be inelastic with respect to other variables.
Morteza Khorsandi, Karim ESLAMLOUEYAN, Hossein Zonnoor,
Volume 12, Issue 1 (5-2012)
Abstract
Monetary conditions index (MCI) is used as an intermediate target of monetary policy in many developed countries. More recently, monetary authorities in some developing countries have also attempted to use this operational target to determine the stance of monetary policy in their countries. The MCI is usually computed as a weighted sum of changes in interest rate and exchange rate. The use of interest rate in constructing MCI might not be appropriate in developing countries due to the lack of efficient financial markets in these countries. Some authors have emphasized on the role of credit channel in monetary transmission mechanism for developing countries. Using weighted sum of profit rate, exchange rate and banks credit, this paper constructs proper MCI for the Iranian economy. Aggregate demand and price equations are used to estimate the weights. Finally, the forecasting power of these indices using non-nested tests and root mean square errors is compared. The results show that the MCI augmented with banks credit has better predicting power than those without credit channel. Moreover, it is also revealed that real MCI, as an intermediate target, is preferred to nominal ones.
Javad Harati, Karim ESLAMLOUEYAN, Mohammad Ali Ghetmiri, Ebrahim Hadian,
Volume 14, Issue 4 (winter 2014 2015)
Abstract
This article analyzes the welfare loss of pollution resulting from production in Iranian economy using an augmented growth model and designing an economic-ecological system dynamics model. The main elements of the model include social welfare, welfare loss, production, physical and human capital accumulation, pollution accumulation, income distribution, and initial conditions. Regarding 2005 as a base year, the time path of per capita pollution and related welfare loss are simulated for the Iranian economy over the 20-year time horizon. The simulation results indicate that with persistence of the status quo, per capita pollution and its welfare loss rise with positive rate. Therefore, the goals of sustainable development will not be achievable. Hence, further improvement of the environment requires government intervention through the appropriate policies. The results of sensitivity analysis of policy parameters show that clean technology diffusion and environmental preferences of producers have negative effects on pollution emissions per capita and economic welfare in Iran, while strengthening environmental preferences of consumers may raise the social welfare loss of pollution. In addition, pollution per capita and its welfare loss are of most sensitivity to environmental preferences of producers, environmental preferences of consumers and clean technology diffusion, respectively. Policy-makers may regard these results in planning to achieve sustainable development objectives.
Karim ESLAMLOUEYAN, Ali Hussain Ostadzad,
Volume 16, Issue 1 (Spring 2016 2016)
Abstract
This paper aims to estimate various production functions, with emphasis on energy and investment in R& D, in Iran over the period 1979-2010. Following estimation of different production functions including CES (Constant Elasticity of Substitution), GPF (Generalized Production Function), Cobb-Douglas, Transcendental, Translog, and GLPF (Generalized Linear Production Function), a proper production function is selected. The functions are mainly non-linear and their estimation requires large sample sizes. The conventional econometric techniques estimate regression parameters through minimizing residual sum of squares (RSS). However, this approach is less efficient than minimization the Least Absolute Deviation (LAD). Moreover, the conventional nonlinear techniques cannot minimize absolute deviation of errors from their expected values. In order to overcome this problem, we use Genetic Algorithm (GA) method with LAD to estimate six non-linear production functions. The results suggest that the Translog function is the most appropriate production function for the Iranian economy. According to our findings, a 10 percent increase in energy consumption, raises the output by 7.3 percent. However, a 10 percent increase in R&D expenditure only increases the output by 2.6 percent. Finally, the results show that the production function in Iran exhibits increasing return to scale after the end of Iran-Iraq war. Thus, it seems constructing growth models for Iran by assuming constant returns to scale production technology needs to be reexamined.
Mr. Mohammad Dehghan Manshadi, Dr Karim ESLAMLOUEYAN, Dr Ebrahim Hadian, Dr Zahra Dehghan Shabani,
Volume 20, Issue 3 (Autumn 2020 2020)
Abstract
The interaction between institutional quality and the mechanism of oil shock diffusion might have a significant effect on macroeconomic dynamics in an oil-exporting country. The literature lacks a formal model to address the role of institutional quality in the economic performance of an oil-rich developing economy. Using a new Keynesian dynamic stochastic general equilibrium (DSGE) framework, this study develops a model to investigate the response of macroeconomic variables to changes in institutional quality resulted from oil shocks in Iran as an important oil-exporting country. Our modeling allows us to show how institutional quality and oil revenues affect households, firms, government, and the central bank. The model is solved and calibrated for the period 1959-2017. The results indicate that the destruction of institutional quality caused by a positive oil shock prevents the Iranian economy from reaping the fruits of an increase in oil revenues. Oil revenues and their shocks by destroying the institutional quality through the expansion of rent-seeking activities, increasing transaction costs of production, reducing the impact of government spending, and diverting monetary and fiscal policies from the targets result in negative effects on Iran's non-oil production in the long run. To reduce the destructive effects of oil shocks on institutional quality in the Iranian economy, we suggest the policymakers in Iran reduce the dependency of the government budget on oil revenues.
Mr Mojtaba Panahi, Dr Rouhollah Shahnazi, Dr Karim ESLAMLOUEYAN, Dr Ali Asgary,
Volume 24, Issue 2 (summer 2024)
Abstract
Introduction:
In recent years, policy makers have increasingly recognized the significance of vulnerability to climate change. This urgent situation necessitates the implementation of immediate, extensive, and comprehensive measures. Extensive scientific consensus has demonstrated that human activities have contributed to significant climate warming trends. However, despite this evidence, there are individuals who remain skeptical and deny the existence of climate change. Consequently, addressing this skepticism and effectively tackling the climate crisis require fundamental changes in behavior and attitudes across various levels and domains of human life. Therefore, the primary objective of this article is to examine the behavioral factors involved in climate policy making, with a particular emphasis on the role of cognitive biases.
Methodology:
This research employed a semi-experimental method, drawing on the principles of behavioral economics. The study utilized a design that included both an experimental group and a control group, with pre-test and post-test assessments. The experimental group was exposed to different information frames, which were developed based on the principles of behavioral economics, while the control group did not receive any framing intervention.
Data for this study was collected through fieldwork and a questionnaire. The statistical population consisted of individuals who had access to WhatsApp, Telegram, and Instagram platforms during the experiment, which took place in the spring of 2023. The target sample size for this research was determined to be 600 participants, divided into six groups of 100 individuals each. The sample size was determined using Cochran's formula for limited populations. Additionally, a random sampling method was employed in this research.
Results and Discussion:
This article aims to establish a connection between climate policy and behavioral sciences by introducing the practical and cost-effective approach of nudge theory. Drawing on insights from behavioral economics, specifically through behavioral interventions that leverage biases such as loss aversion, hyperbolic discounting, and the framing effect, this study investigates how these interventions can encourage individuals to make choices that align with addressing climate change and environmental concerns. Moreover, existing research has demonstrated that integrating the framing effect with other cognitive biases can be an effective and low-cost policy tool for studying environmental behavior.
Using a semi-experimental methodology, this article examines the impact of information formatting, including profit and loss framing, hyperbolic discounting bias, as well as extensive and continuous information presentation, on individuals' general attitudes and understanding of climate change. The hypotheses of this research were derived from the literature of behavioral economics, cognitive science, and previous studies in the field of environmental issues. The findings of this research indicate that individuals exhibit a greater sensitivity to loss framing, supporting hypothesis H1. In other words, people are more responsive to potential losses than gains when making decisions. Additionally, the results demonstrate that individuals display a significantly higher willingness to participate when presented with present-loss and present-profit framing compared to future-loss and future-profit framing, aligning with hypothesis H2. This preference for the present over the future, known as present bias and hyperbolic discounting bias, has been extensively examined and validated in behavioral economics literature. Furthermore, the findings show that framing losses and emphasizing the present context contribute to a heightened perception of risk, consequently increasing individuals' willingness to take preventive measures under a loss framework.
Additionally, the provision of information in a broad and continuous manner also yielded a significant effect in influencing individuals' behavior, corroborating hypothesis H3.
Conclusion:
This study offers novel insights for policymaking and governance regarding public participation in mitigating the impacts of climate change. The findings indicate that the utilization of loss-present framing and continuous framing proves more effective in increasing the willingness of the general public to engage in climate change reduction efforts. Based on the research conducted in this article, climate change mitigation policies can be effectively promoted in public settings through the implementation of nudges that employ loss-present framing when delivering information.
Furthermore, the current reliance on economic incentives in most policies to encourage public participation is a noteworthy issue. However, this study proposes the use of non-economic incentives and demonstrates the positive impact of nudges on individuals' willingness to engage in projects aimed at reducing the effects of climate change
