Econometrics
Alireza Kamalian; Seyed Komail Tayebi; Alimorad Sharifi; Hadi Amiri
Abstract
Propensity score matching is extensively utilized in estimating the effects of policy interventions and programs for data observations. This method compares two treatment and control groups to make statistical inferences about the significance of the effects of these policies on target variables. Therefore, ...
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Propensity score matching is extensively utilized in estimating the effects of policy interventions and programs for data observations. This method compares two treatment and control groups to make statistical inferences about the significance of the effects of these policies on target variables. Therefore, when using propensity score matching, it is significant to obtain the standard error to estimate the treatment effect. The precise estimations of variance and standard deviation facilitate more efficient statistical testing and more accurate confidence intervals. However, there is no agreement in the literature on the estimation method of standard error; some methods rely on resampling, while others do not. This study compares these methods using Monte Carlo simulation and calculating the Mean Squared Errors (MSE) of these estimators. Our results indicate that Jackknife and standard methods are superior to Abadie and Imbens (2006) bootstrap, and subsampling ones in terms of accuracy. Finally, reviewing Tayyebi et al. (2019) indicated that different methods of estimating variance in the matching estimator led to different statistical inferences in terms of statistical significance.
Seyed Reza Miraskari; Seyed Komail Tayebi; Mohammad Vaez Barzani
Abstract
This paper tries to analyze the impacts of intermediate goods trade on production, consumption, investment, net exports, employment, labor wage and capital rent of Iran in its bilateral trade relations with China. This analysis has been done by modeling, solving and calibrating an international real ...
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This paper tries to analyze the impacts of intermediate goods trade on production, consumption, investment, net exports, employment, labor wage and capital rent of Iran in its bilateral trade relations with China. This analysis has been done by modeling, solving and calibrating an international real business cycles (IRBC) model in period 1980-2009. The results show that when elasticity of substitution between domestic and imported intermediate goods is low, increasing the share of Iran’s imported intermediate goods from China increases volatility of Iran’s macroeconomic variables. The value of an increase in volatility of Iran’s macroeconomic variables depends on elasticity of substitution between domestic and imported intermediate goods, when the elasticity of substitution between domestic and imported intermediate goods is low, an increase in the share of Iran’s imported intermediate goods from China leads to a further increase in the volatility of macroeconomic variables. These results indicate that imports of intermediate goods are an important path through for transmission of shocks between main bilateral trade partners.
Abbas Mohammadzadeh; Charles Harvie; Seyed Komail Tayebi
Abstract
Abstract Financial crises and currency instabilities within developing and emerging economies during the last decade had a tremendous impact on the economic performance and increased vulnerability of economies against domestic and foreign shocks. The timing of capital liberalization is one of the significant ...
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Abstract Financial crises and currency instabilities within developing and emerging economies during the last decade had a tremendous impact on the economic performance and increased vulnerability of economies against domestic and foreign shocks. The timing of capital liberalization is one of the significant debates among other issues related to currency instability, and it would be more convenient to take this policy whenever the economy is ready for it. In this study trade openness is assumed to be a perquisite for capital liberalization. The aim is to see whether the capital liberalization without enough trade openness would be a possible factor for the currency instability. To reach to this aim, a sample of emerging countries for the period of 1998-2009 is selected. A Probit Panel Data model is used to estimate the parameters of the model. The parameters are all found to be significant and support the main idea of this study.