Rezaeefar, M., Zare Mehrjerdi, M., Mehrabi Boshrabadi, H. (2020). Estimating the Production Gap of Agricultural Sector and Its Impact on Inflation Rate in Rural Areas of Iran: Criticism of Lucas's Theories. , 27(4), 205-237. doi: 10.30490/aead.2020.252372.0
M. R. Rezaeefar; M. R. Zare Mehrjerdi; H. Mehrabi Boshrabadi. "Estimating the Production Gap of Agricultural Sector and Its Impact on Inflation Rate in Rural Areas of Iran: Criticism of Lucas's Theories". , 27, 4, 2020, 205-237. doi: 10.30490/aead.2020.252372.0
Rezaeefar, M., Zare Mehrjerdi, M., Mehrabi Boshrabadi, H. (2020). 'Estimating the Production Gap of Agricultural Sector and Its Impact on Inflation Rate in Rural Areas of Iran: Criticism of Lucas's Theories', , 27(4), pp. 205-237. doi: 10.30490/aead.2020.252372.0
Rezaeefar, M., Zare Mehrjerdi, M., Mehrabi Boshrabadi, H. Estimating the Production Gap of Agricultural Sector and Its Impact on Inflation Rate in Rural Areas of Iran: Criticism of Lucas's Theories. , 2020; 27(4): 205-237. doi: 10.30490/aead.2020.252372.0

Estimating the Production Gap of Agricultural Sector and Its Impact on Inflation Rate in Rural Areas of Iran: Criticism of Lucas's Theories

اقتصاد کشاورزی و توسعه
Article 9, Volume 27, Issue 4 - Serial Number 108, March 2020, Pages 205-237    PDF (634 K)
Document Type: Original Article
DOI: 10.30490/aead.2020.252372.0
Authors
M. R. Rezaeefar* 1; M. R. Zare Mehrjerdi* 2; H. Mehrabi Boshrabadi3
1PhD Student in Economics of Natural Resources and Environment, Department of Agricultural Economics, Faculty of Agriculture, Kerman University of Shahid Bahonar, Kerman, Iran
2Associate Professor of Agricultural Economics, Department of Agricultural Economics, Faculty of Agriculture, Kerman University of Shahid Bahonar, Kerman, Iran
3Professor of Agricultural Economics, Department of Agricultural Economics, Faculty of Agriculture, Kerman University of Shahid Bahonar, Kerman, Iran
Abstract
Since the share of agricultural sector's employment in rural areas is more than those of services and industry sectors, identifying and explaining the relationship between production gap of agricultural sector and inflation in rural areas can contribute to the economic decisions in these areas. Therefore, this study aimed at estimating the production gap of agricultural sector and its impact on inflation rate in rural areas of Iran during 1986-2013 in neoclassical Phillips curve perspective. For this purpose, Auto Regressive Distributed Lags (ARDL) method was used. The results showed that the neutral money and rational expectations theories of Lucas were unacceptable for the rural areas of Iran. In other words, the impact of monetary policies on inflation, employment and production gap in these areas was positive in both short and long terms; in addition, the Phillips curve in these areas was significantly descending in either short or long terms, indicating a negative relationship between inflation and unemployment in the rural areas of Iran but a positive relationship between inflation and production gap in these areas. The study results indicated that the inflation in rural areas was not simply a monetary phenomenon and it was also affected by the real variable of production gap of agricultural sector. So, in addition to the monetary policies, the actual sectors should be considered in inflation control of rural areas.
Keywords
Neutral Money; Rural Potential Production; Neoclassic Thinkers; Inflation; Unemployment; Iran
References
  1. Abbasinejad, H.and Kazemizadeh, Gh. (2000). Analysis of Phillips curve and determination of the natural rate of unemployment in Iran. Economic Research, 57: 133-160. (Persian)
  2. Apel, M. and Janson, P. (1998). A theory-consistent system approach for potential output and the NAIRU. Economics Letters, 64: 271-275.
  3. Cavand, H. and Bagheri, F. (2007). Calculation of real GDP gap using a space-mode model. Science and Development, 21: 129-135. (Persian)
  4. Rokneddin Eftekhari, A.R. (2008). Role of rural areas in large scale planning. Unpublished Paper, Department of Geographical Sciences, Tarbiat Modarres University. (Persian)
  5. Emami, K. and Olia, M. (2012). Estimating the output gap and its effects on inflation rate in Iranian economy. The Economic Research, 12(1): 59-85. (Persian)
  6. Hodrick, R.J. and Prescott, E.C. (1997). Post-war U.S. business cycles: an empirical investigation. Money, Credit and Banking, 29(1): 1-16.
  7. Jafari Samimi, A. and Farjadi, Gh. (2008). Micro and macroeconomic articles. Babolsar: University of Mazandaran Publishing, First Edition: 363 and 365. (Persian).
  8. Jelalee, S.A. and Shirafkan, M. (2009). The effect of monetary policies on the unemployment rate from the new Keynesian Phillips curve in Iran. Macroeconomics, 35(1): 13-36. (Persian)
  9. Lucas, R.E. Jr. (1996). Nobel lecture: monetary neutrality. Political Economy, 104.
  10. Manki, G. (2004). Macroeconomics. Translated by A. Parsian, Tehran: Allameh Tabatabaei University Press, Second Edition, pp. 153. (Persian)
  11. Mohammadi, T., Abounurii, A. and Mohammadnejad, R. (2015). Analysis of the causal relationship between inflation and unemployment in Iran's economy. Financial Economics, 9(30):29-46. (Persian)
  12. Ozlem Onder, A. (2009). The stability of the Turkish Phillips curve and alternative regime shifting models. Applied Economics, 41: 2597-2604
  13. Phillips, A.W. (1958). The relation between unemployment and the rate of change of money wage rate in the United Kingdom 1861-1957. Economica, 25(100): 283-299.
  14. Pressman, S. (2006). Fifty major economists. New York and London: Routledge: 302-304.
  15. Qavam Masoudi, Z. and Tashkini, A. (2005). Empirical analysis of inflation in the Iranian economy. Business Research, 36: 75-105. (Persian)
  16. Rahmani, T. and Amiri, H. (2012). The Philips hybrid curve of new concepts and its experimental study in Iran. Economic Research, 47: 91-112. (Persian)
  17. Rezaeifar, M. (2015). Estimation and analysis of the Phillips curve by the total and rural segments in Iran. Master's Thesis, Shahid Bahonar University of Kerman. (Persian)
  18. Rezvani, M.R (2004). Introduction to rural development planning in Iran. Qumas Publishing.
  19. Scheibe, J. and Vines, D. (2005). A Phillips curve for China. Research School of Pacific and Asian Studies. Australian National University, Feb.
  20. Schorfheide, F (2008). DSGE model-based estimation of new Keynesian phillips curve. Economic Quarterly, 94(4): 397-433.
  21. Surrey, A. (2013). Econometrics (advanced), along with the use of Eviews8 and Stata12. Farhang Shenasi. (Persian)
  22. Tashkini, A. (2005). Applied econometrics with microfit. Tehran: Dibagaran Publishing House. (Persian)
  23. Tavakoliyan, H. (2012). Investigating the new Phillips Keynesian curve in the form of a dynamic generalized equilibrium model for Iran. Economic Research, 47: 1-22. (Persian)
  24. Wimanda, R.E., Turner, P.M. and Hall, M.B. (2010). Expectations and the inertia of inflation: the case of Indonesia. Policy Modeling, 33(3): 426-438.
  25. Wimanda, R.E. (2014). Threshold effects of exchange rate depreciation and money growth on inflation: evidence from Indonesia. Economic Studies, 41(2): 196-215.
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