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.
Saeed Samadi; Mostafa Mobini Dehkordi; Alireza Kamalian; Ehsan Mohammadzade; Mehdi Karname Haghighi
Abstract
One of the important socioeconomic tasks of governments is regulation. Regulation literature focuses on government intervention in the market for regulating the amount of production and distribution of a commodity, which can lead to the determination of the structure and rules governing the market. A ...
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One of the important socioeconomic tasks of governments is regulation. Regulation literature focuses on government intervention in the market for regulating the amount of production and distribution of a commodity, which can lead to the determination of the structure and rules governing the market. A commodities exchange is one of the most important regulatory agencies, which, by providing a convenient, transparent and observable trading system, is customary for the flow of government-specific regulations on commodities. The aim of the present study is to test the regulatory results of supply of products in the commodities exchange. To this end, the percentage increase in the price of 12 commodities traded on the commodities exchange was compared with 21 off-exchange trades using the Propensity Score Matching technique, Caliper and Radius Matching technique, and Bootstrap Standard Deviation. According to the obtained results, the supply of commodities on the Iran mercantile exchange has led to a decrease in their price growth compared to similar commodities outside the Iran mercantile exchange. As a result, using regulatory agencies such as the commodities exchange will increase production and welfare of the society.
