چکیده:
In order to estimate the production function as well as investigate changes in productivity and growth in the economy of any country, a time series of the capital volume variable is required. Diversity in proposed methods and the difficulty of calculating the time series of this variable have caused the existing data for it to be not very reliable. Among existing methods, the continuous stock method has received more attention, which, while possessing positive characteristics, is not without flaws. In this research, in order to improve the continuous stock method in estimating capital volume, the 'algorithm writing' method has been used. Regarding the capabilities of the expanded pattern in this study, one can mention variables such as: 'considering the capital depreciation rate in different periods', 'considering the qualitative variable of war and its impact on the depreciation rate', 'investigating various types of non-linear and linear production functions to increase estimation accuracy and considering energy as a production input in addition to labor and capital volume, unlike previous studies'. The results show that the time series calculated in this study has a similar trend, but with some differences, compared to the time series reported by the Central Bank of Iran. Additionally, the estimated average depreciation rate for the period 1959 to 2010 is 1.5%. Estimates show that during the war period, the depreciation rate was always higher than the average depreciation rate. This result demonstrates the power of the expanded algorithm in calculating the depreciation rate as well as capital volume.
خلاصه ماشینی:
(Refer to page image) In this study, in order to estimate the capital volume for the economy of Iran, in a part of the expanded algorithm, the estimation of CD (equation 4), Transcendental (equation 5), CES (equation 6), GPF (equation 8), GLPF (equation 10) and Translog (equation 12) production functions; which are all non-linear, has been addressed with the help of the continuous genetic algorithm method.
A new approach in calculating the capital time series in Iran: The recursive algorithm method using the genetic algorithm (1338-1389) Ali Hossein Ostadzad1 Sajjad Bahpour Received date: 1392/07/15 Acceptance date: 1393/10/08 Abstract In order to estimate the production function and also investigate changes in productivity and growth in the economy of each country, a time series of the capital volume variable is required.
From the capabilities of the expanded model in this study, one can mention the variables: "considering the capital depreciation rate in different periods", "considering the qualitative variable of war and its impact on the depreciation rate", "investigating types of non-linear and linear production functions to increase estimation accuracy and considering energy as an input Table 2.
Among the capabilities of the extended model in this study, one can mention the variability of the capital depreciation rate in different periods, considering the qualitative variable of war and its impact on the depreciation rate, examining various types of non-linear and linear production functions to increase estimation accuracy, and considering energy as a production input in addition to labor and capital volume, unlike previous studies.
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