Optimization and Simulation (Monte Carlo) of the Impact of Productivity Shocks on GDP of Iran using the Advanced Algorithms Approach | ||
| Industrial Management Journal | ||
| مقاله 4، دوره 9، شماره 2، 2017، صفحه 287-308 اصل مقاله (466.51 K) | ||
| نوع مقاله: Original Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2017.240333.1007301 | ||
| نویسندگان | ||
| Ramin Jamshidi Dehnavi1؛ Mohsen Zayandeh Roodi* 2؛ Sayed AbdolMajid Jalaee3؛ Ali Raees Poor2 | ||
| 1Ph.D. Candidate in Economy, Islamic Azad University, Kerman, Iran | ||
| 2Assistant Prof. of Economy, Islamic Azad University, Kerman, Iran | ||
| 3Prof. of Economy, Shahid Bahonar University, Kerman, Iran | ||
| چکیده | ||
| In this paper, the impact of productivity shocks on GDP using advanced algorithm approach and the Monte Carlo simulation in the Iranian economy has been surveyed. After reviewing the theoretical and experimental studies, the variables of inflation, unemployment, potential production and productivity shocks are selected as the variables explaining the variable of gross domestic product. Using three algorithms of fireflies, cuckoo, and particle swarms optimization, the coefficients of each of the independent variables were estimated. After estimating the coefficients and given the uncertainty of the estimated coefficients by the advanced algorithms, Monte Carlo method was used to simulate the equations. Comparing the findings obtained from the simulation and findings of the estimation indicate the high accuracy of the findings obtained from estimates. Given the obtained findings, productivity shocks had very little impact on GDP and the potential production was introduced as the most influential variable. | ||
| کلیدواژهها | ||
| Advanced algorithm؛ GDP؛ Monte Carlo simulation؛ Optimization؛ Productivity shocks | ||
| مراجع | ||
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