University of Tabriz
Islamic World Science Citation Center (ISC)
Ashraf Ganjoee, R., Akbari fard, H., Mashinchi, M. (2022). Application of Linear Aegression Model with Symmetric and Assymmetric Fuzzy Coefficients for Money Demand Function in Iran Economy. , 9(1), 239-270. doi: 10.22034/ecoj.2021.32855.2486
Reza Ashraf Ganjoee; Hossin Akbari fard; Mashaallah Mashinchi. "Application of Linear Aegression Model with Symmetric and Assymmetric Fuzzy Coefficients for Money Demand Function in Iran Economy". , 9, 1, 2022, 239-270. doi: 10.22034/ecoj.2021.32855.2486
Ashraf Ganjoee, R., Akbari fard, H., Mashinchi, M. (2022). 'Application of Linear Aegression Model with Symmetric and Assymmetric Fuzzy Coefficients for Money Demand Function in Iran Economy', , 9(1), pp. 239-270. doi: 10.22034/ecoj.2021.32855.2486
Ashraf Ganjoee, R., Akbari fard, H., Mashinchi, M. Application of Linear Aegression Model with Symmetric and Assymmetric Fuzzy Coefficients for Money Demand Function in Iran Economy. , 2022; 9(1): 239-270. doi: 10.22034/ecoj.2021.32855.2486

Application of Linear Aegression Model with Symmetric and Assymmetric Fuzzy Coefficients for Money Demand Function in Iran Economy

نظریه های کاربردی اقتصاد
Volume 9, Issue 1 - Serial Number 32, June 2022, Pages 239-270    PDF (1.49 M)
Document Type: Research Paper
DOI: 10.22034/ecoj.2021.32855.2486
Authors
Reza Ashraf Ganjoee1; Hossin Akbari fard* 2; Mashaallah Mashinchi3
1PhD student in Economics, Shahid Bahonar University of Kerman
2Associate Professor of Economics, Shahid Bahonar University of Kerman
3Professor of Statistics, Shahid Bahonar University of Kerman
Abstract
Considering the role of monetary policy in this paper, using linear regression model with symmetric and assymmetric fuzzy coefficients to analyze the money demand function in Iran economy for the period of 1396- 1375.We also used the Friedman and Chordiy study (1988 and 1996) to justify the model.The results of the estimation show the superior performance of the linear regression model with symmetric and asymmetric fuzzy coefficients. On this basis, it can be stated that in the estimation of the fuzzy regression model with the coefficients, the function of the money demand function is the same for all degrees of membership from 0.1 to 0.9. There is not even a very slight change in the mode value. Which implies keeping money with speculative and precautionary motives and will have a recession-induced monetary effect on the economy. On the other hand, in this regression, changes in the coefficients of elasticity have not resulted in any changes in the value of the objective function (money demand), which indicates the stability of the demand for money in Iran. Since the time period is considered in this long-term study, In terms of membership, 0.8 and 0.9, the demand for money is the highest and lowest, respectively, expressed in terms of liquidity and uncertainty conditions in the economy. Also, the stability of the coefficients of the explanatory variables of money demand in the linear regression model with symmetric and asymmetric fuzzy coefficients in Iran is somewhat consistent with the theoretical model of Sidrauski (1967). In other words, this monetary theory can justify the conditions of the Iran economy
Keywords
money demand function; fuzzy regression; Symmetric coefficients and asymmetric
References
  1. Aghevli, B. B., Khan, M. S., Narvekar, P. R., & Short, B. K. (1979). Monetary policy in selected Asian countries. Staff Papers, 26(4), 775-824.
  2. Amir Ashrafi, H. (1996). Estimation of money demand function in Iran with respect to interest rate problems (1366-65). Master Thesis. Shahid Beheshti University (In Persian).
  3. Asai, H. T. S. U. K., Tanaka, S., & Uegima, K. (1982). Linear regression analysis with fuzzy model. IEEE Trans. Systems Man Cybern, 12, 903-907.
  4. Ashraf Ganjavi, R., Akbarifard, H., & Mashinchi, M. (2018). Application of linear regression with symmetric and asymmetric fuzzy coefficients in the study of real exchange rate behavior. 7th Joint Congress of Fuzzy and Intelligent Systems of Iran (In Persian).
  5. Bafandeh Imandoust, S., & Ghasemi, H. (2011). Study of the Factor Affecting Iran's Money Demand Using Bayesian Model Mean Approach. Monetary Journal, 1 (1), 36-56 (In Persian).
  6. Barros, C. P., Faria, J. R., & Gil-Alana, L. A. (2017). The demand for money in Angola. Journal of Economics and Finance, 41(2), 408-420.
  7. Bastani Far, I. (2016). Estimation of Keegan's adjusted money demand function with exogenous shocks in the Iranian economy. Economic research, 51(4), 226-219 (In Persian).
  8. Ben-Salha, O., & Jaidi, Z. (2014). Some new evidence on the determinants of money demand in developing countries–A case study of Tunisia. The Journal of Economic Asymmetries, 11, 30-45.
  9. Biabani, J., Abolhassani Hastiani, A., Mehregan, N., & Hassanvand, D. (2014). The Impact of Financial Innovations in the Banking Sector on Money Demand in Iran. Monetary and banking research, 6(18), 111-131 (In Persian).
  10. Dehmardeh, N., & Izadi, H. R. (2009). Study of money demand in Iran. Journal of Economic Research, 9(2), 153-169 (In Persian).
  11. Friedman, M. (1959). The demand for money: some theoretical and empirical results. Journal of Political economy, 67(4), 327-351.
  12. Goldfeld, S. M., Fand, D. I., & Brainard, W. C. (1976). The case of the missing money. Brookings papers on economic activity, 1976(3), 683-739.
  13. Hassanpour, H., Maleki, H. R., Yaghoubi, M. A. (2007). Fuzzy Linear Regression Using Ideal Program ming Statistical Thought. Statistical Thought, 12(1), 48-58 (In Persian).
  14. Hsing, Y. (2007). Roles of stock Price and exchange rate in Slovakia's money demand function and policy implications. Transition Studies Review, 14(2), 274-282.
  15. Islami Bidgoli, Gh. R., & Bajlan, S. (2008). Testing the theory of quantity of money in Iran and examining the effectiveness of the price stabilization policy using GARCH models. Journal of Economic Research, 29, 205-225 (In Persian).
  16. Jawadi, F., & Sousa, R. M. (2013). Money demand in the euro area, the US and the UK: Assessing the role of nonlinearity. Economic Modelling, 32, 507-515.
  17. Khalili Iraqi, M., & Yavari, K. (2013). Estimating the Money Demand Function in Iran with the Approach of Error Correction and Cumulative Models, Bi-Quarterly. Journal of Monetary Economics, 4 & 5, 31-70 (In Persian).
  18. Kumar, S., Webber, D. J., & Fargher, S. (2010). Money demand stability: A case of Nigeria. Munich Personal RePEc Archives.
  19. Mazhari, R. (2015). Money Demand Uncertainty in Iran, Journal of Macroeconomics. Journal of Economic Sciences, 10(20), 5-5 (In Persian).
  20. Laidler, D. (1966). Some evidence on the demand for money. Journal of Political Economy, 74(1), 55-68.
  21. LIN, K. P., & Oh, J. S. (1984). Stability of the US Short‐Run Money Demand Function, 1959–81. The Journal of Finance, 39(5), 1383-1396.
  22. Meltzer, A. H. (1963). The demand for money: the evidence from the time series. Journal of political Economy, 71(3), 219-246.
  23. Mirzaei Yeganeh, Sh., & Arghami, N. R. (2007). Fuzzy Regression: A Review of Several Approaches. Statistical Thought, 47, 23-35 (In Persian).
  24. Mostafavi, M., & Yavari, K. (2007). Predicting Money Demand in Iran Using Time Series and Combined Approach. Journal of Development and Knowledge, 6(20), 125-145 (In Persian).
  25. Nofaresti, M. (2011). Demographic Changes and Demand for Money in Iran Quarterly. Journal of Economic Research Trend, 19(58), 15-23 (In Persian).
  26. Nofaresti, M. (2008). The Root of Unity and Collectivity in Econometrics. Rasa Cultural Services Institute (In Persian).
  27. Rahmani, T. (2004). Publications: Baradaran (In Persian).
  28. Samati, M., & Yazdani, M. (2007). Analysis of econometrics of money demand in Iran. Journal of Economic Research, 10(2), 99-122 (In Persian).
  29. Shirin Bakhsh Masouleh, Sh. A. (2005). Investigating the Relationship between Money Demand and Factors Affecting It: Boundary Test Approach. Economic Research Journal, 5(1), 133-152 (In Persian).
  30. Singh, P., & Pandey, M. K. (2012). Is Long-Run Demand for Money Stable in India?-An Application of the Gregory-Hansen Model. IUP Journal of Applied Economics, 11(2), 59.
  31. Tabatabaei Yazdi, R. (1996). Estimation of Money Demand Using Simultaneous Equations. Sc. Thesis, University of Tehran (In Persian).
  32. Taheri, S. M., & Machin Chi, M. A. (2013). Introduction to Probability and Fuzzy Statistics. Second Edition, Shahid Bahonar University of Kerman (In Persian).
  33. Tanaka, H. (1984). A formulation of fuzzy linear programming problem based on comparison of fuzzy numbers. Control and cybernetics, 13, 185-194.
  34. Tin, J. (2000). Life-cycle hypothesis, propensities to save, and demand for financial assets. Journal of economics and finance, 24(2), 110-121.‏
  35. Thornton, J. (1998). Real stock prices and the long-run demand for money in Germany. Applied Financial Economics, 8(5), 513-517.
  36. Tabibian, M., & Souri, D. (1997). Long-Term Money Demand. Business Research Journal, 3, 81-107 (In Persian).
  37. Velayati, M., Hosseinzadeh Lotfi, F., Shahriari, M. R., & Roodposhti, F. (2017). Data Mining Approach in Customer Market Segmentation in order to Adopt Efficient Strategies (Case Study of Telecommunication Industry). Journal of Economics, 11(41), 243-266 (In Persian).
  38. Hojbar Kiani, K. (1997). Investigating the Stability of Money Demand and Its Dynamic Aspects in Iran Tehran. Monetary and Banking Research Institute, 45. (In Persian).
  39. Komijani, A. (1995). The mechanism of the impact of monetary policy in the form of an open economy model: the case of Iran. Quarterly Journal of Economic Research and Policy, 4 & 5, 30-71 (In Persian).
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