Investigating the Main Determinants of Inflation in Iran: Application of Hybrid New Keynsian Philips Curve Using Quantile Regression

Document Type : پژوهشی

Authors

• Alireza Kazerooni ¹
• Hossein Asgharpuor ¹
• maryam nafisi moghadam ²

¹ Tabriz

² Tabriz university

https://doi.org/10.22067/pm.v24i14.53467

Abstract

Introduction
In investigating effectiveness of monetary policy on the economic stability and control of inflation, the relationship between inflation and real variables is highly important. The Philips curve is one of the most popular relationships in macroeconomic which considers the linkage between inflation and unemployment. It was suggested by Phillips (1958) and expanded by Friedman (1968), Phelps (1968), and Lucas (1973). In the 1990s, New Keynesian Philips Curve was formulated based on nominal rigidity and rational expansions and was widely used in structural models of inflation dynamics and analysis of monetary policy. Despite having a conmonly accepted theoretical background, there have been contradictory results regarding its empirical validity.
High inflation rate has been adversely affected, so it is important to investigate the main determinants of inflation. There are some studies that have investigated dynamics of inflation in Iran. Among them, some have examined the NKPC or hybrid NKPC in Iran. However, these researchers have ignored the utilization of quantile regression method. Quantile regression, proposed by Koenker and Bassett (1978), is an effective tool to overcome the weaknesses in mean regression. In comparison with traditional approaches to estimate HNKPC, quantile regression has two advantages. Firstly, the effects of symmetry and asymmetry of the Phillips curve are studied across quantiles. For example, the effects of explanatory variables may be the different between upper and lower quantiles, which is so important for dynamic monetary policy in different economic circumstances. Secondly, the quantile regression can provide more information than the conditional mean of inflation. Hence, it seems to be able to define the effect of explanatory variables on inflation across quantiles considering the circumstances of frequent inflation in Iran.
Methodology
The relationship between inflation rate and the economic activity such as the output gap described by a Phillips curve. The most commonly used model Philps curve in macroeconomics is the Hybrid New Keynesian Philips Curve(HNKPC) as developed by Garli ande Gertler(1999) The HNKPC is generally used to investigate the effect of looking forward and looking backward components, which can be expressed as:
(1) π_t=γ_f E_t π_(t+1)+γ_b π_(t-1)+χGAP+ϵ_t

Where π_t is the rate of inflation, π_(t+1) is expected inflation for t+1 at time t, GAP is output gap (i.e., a proxy for marginal cost of production) Whereas Iran is a small country and has open economy, exchange rate also has an impact on inflation rate, so we used the change of the exchange rate on Eq.1. In recent years, quantile regression has been used to estimate Philips Curve (e.g., Boz, 2013; Chorteas, Magonis and Panagiotidis, 2012; Xu, Niu, Jiang, and Huang, 2015).
In recent years, quantile regression has been widely used in many important areas such as economic analysis, financial risk management, and environment modeling (Xu, 2015). Estimation methods of conditional quantile functions were discussed in Koenker and Bassett (1978), where a simple asymmetric version of the sum of absolute errors was minimized.
(2) min_(βϵR^k ) [∑_(i∈{i:y_i≥x_i β})▒τ|y_i-x ́_i β_i | +∑_(i∈{i:y_i

Keywords

• Keywords: Inflation rate
• Hybrid New Keynsian Philips Curve
• Quantile regression

References

[1] Amato, J. & Gerlach, S. ( 2001). “Inflation Targeting in Emerging Market and Transition Economies, Lessons after a Decade,” Centre for Economic Policy Research. PP 781–790.

[2] Boz, C. (2013).” Estimating the New Keynsian Philios Curve by Quantile regression Method for turkey”. Modern Economy 4, PP 632-627.

[3] Calvo, G.(1983). “Staggered Prices in a Utility Maximizing Framework”. Journal of Monetary Ecoomics, Vol. 12, No. 3, pp. 383-398.

[4] Chen C, SAS Institute Inc, Cary N.(2005)” An Introduction to Quantile Regression and the QUANTREG Procedure “. SUGI 30/Statistics and Data Analysis; 1-25.

[5] Chorteas, G. Magonis & Panagiotidis, T. (2012). “The Asymmetry of the New Keynesian Phillips Curve in the Euro Area”. Economic Letters, Vol. 114, No. 2, pp 161-163.

[6] Fatthahi, Sh. (2012).” Econmetric Analysis of inflation Expectations”. Lamberc Academic Publishing.

[7] Fuhrer, J & M. Gerald. (1995).“Inflation Persistence,” Quarterly Journal of Economics, Vol. 110, No. 1, pp127-159.

[8] Gali, J. & Gertler, M. (1999). “Inflation Dynamics: A Structural Econometric Analysis” . Journal of Monetary Economics, Vol. 44, No. 2, pp. 195-222.

[9] Erfani A, samiei N, Sadeghi F. (2016). “Estimating the Hybrid New Keynesian Phillips Curve for Economy of Iran”. The Economic Research, No 16 (1), PP 95-119.( In Persian)

[10] Gali, J. & Gertler, M. et al(2001). “European Inflation Dynamics”. Journal of Monetary Economics, Vol. 45, No. 7, pp. 1237-1270.

[11] Gali, J.& Gertler, M. et al.( 2005). “Robustness of the Estimates of Hybrid New Keynesian Phillips Curve”. Journal of Monetary Economics, Vol. 52, No. 6, pp. 1107- 1118.

[12] Gorji E, & Eghbali A. (2008). “Estimation of the Phillips curve in Iran: A new perspective”. Journal of Economic Research, No 42(3), PP. 121-144( In Persian)

[13] Henzel, S. & Wollmershaeuser, T. (2006). “The New Keynesian Phillips Curve and the Role of Expectations: Evidence From the Ifo World Economic Survey” . CESifo Working Paper.

[14] Jalaee S. A., & Shirafkan M. (2010). “ The impact of monetary policies on level of unemployment through the New Keynesian Phillips curve analysis on Iran”. Journal of Macroeconomics, No 35, PP 13-36. ( In Persian)

[15] Jean-Baptiste, F. (2012). “Forecasting with the New Keynesian Phillips Curve: Evidence from Survey Data”. Economic Letters, Vol. 117, No. 3, pp. 811-813.

[16] Jondeau, E & Le Bihan, H. (2005). “Testing for The New Keynesian Phillips Curve; Additional International Evidence”. Economic Modelling, Vol. 22, No. 3 pp. 521-550.

[17] Koenker, R. & Bassett .(1978). “Quantile Regression”. Econometrica, 46,33-50.

[18] Koenker, R .& Hallock, K.F.(2001). “Quantile Regression” Journal of Economic Perspective 15, 143-156.

[19] Koenker, R . (2004). “Quantile Regression for longitudinal Data”. Journal of Multivariate Analysis 91, 74-89.

[20] Koenker R. (2005)” Quantile Regression”. first ed. New York: Cambridge University Press. p 1-25.

[21] Lee, j. Dong, Yoonb, H. Jai. (2016). ” The New Keynesian Phillips Curve in multiple quantiles and the asymmetry of monetary policy “. Economic Modelling, Vol 55, PP 102–114.

[22] Leu, S .C.-Y., (2011). “A New Keynesian SVAR Model of the Australian Economy”. Economic Modelling 28, 157–168.

[23] Mankiw, N. G. & Reis, R. (2001).“Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve”. Harvard University, Cambridge.

[24] Phaneuf, L. &Tchakondo, Y. (2011). ”The New Keynesian Phillips Curve Intermediate Goods Meet Positive Trend in Inflation”. Working Paper, University of Quebec.

[25] Rahmani T., & Amiri H. (2013). ” Hybrid New-Keynesian Phillips Curve: Evidence from Iran”. Journal of Economic Research, No 47(1), PP. 91-112( In Persian)

[26] Roberts, J.( 1998). “Inflation Expectations and the Transmission of Monetary Policy”. Board of Governors of the Federal Reserve System,

[27] Roberts, J.( 2001 ).“How Well Does The New Keynesian Sticky-Price Model Fit the Data?”. Federal Rezerve Board FEDS Working Papers, pp. 1948-1943.

[28] Rotemberg, J. J. )1982(. “Monopolisitic Price Adjustment and Aggregate Out-Put”. Review of Economic Studies, Vol. 49,982, pp. 517-531.

[29] Rudd, J & Whelan, K.( 2005). “New Tests of The New Keynesian Phillips Curve” . Journal of Monetary Economics,Vol. 52, No. 6, pp. 1167-1181.

[30] Romer D. (2001).” Advanced Macroeconomics” Taghavi Mehdi. Publication of Azad university. Secend Edithion, Secend Volume. PP 349. ( In Persion)

[31] Rudd, J & Whelan, K. (2007).“Modeling Inflation Dynamics: A Critical Review of Recent Research”. Journal of Money, Credit and Banking, Vol. 39, No. 1, pp. 155-170.

[32] Samadi A H, Owjimehr S.(2015). ” The Investigation of Persistency and Inertia of Inflation in Iran: a Comparison of Hybrid Price Stickiness and Information Stickiness Models”. jemr; No 5 (19) :PP 41-72. ( In Persian)

[33] Soltani M., & lashkari M. (2012). “Test of Monetary Inflation and identify factors affecting inflation in the economy 1960- 2009”. Journal of Strategy, No 28, PP 43- 78.( In Persian)

[34] Stock, J & Watson, M.( 2007). “Why Has US Inflation Become Harder To Forecast?” . Journal of Money, Credit and Banking, Vol. 39, No. 1, pp. 3-34.

[35] Tavakolian H. (2013).” A New Keynesian Phillips Curve in a DSGE Model for Iran”. Journal of Economic Research, No 47(3), PP. 1-22. ( In Persian)

[36] Taiebnia A, Amiri H, Ravishi F. (2014).”The New Keynesian Phillips Curve and Forecasting Inflation”. The Journal of Planning and Budgeting.; No 18 (4) PP 3-26. ( In Persian)

[37] Taylor, J.( 1980). “Aggregate Dynamics and Staggered Contracts,” The Journal Of Political Economy, Vol. 88, No. 1 , pp. 1-23.

[38] Wimanda, Rizki E.,Turner, P. M., & Hall, M. B. (2010). “Expectations and the inertia of inflation: the case of Indonesia”. Journal of Policy Modeling.

[39] Xu, Q; Niu, X; Jiang, C & Huang, X. (2015). “The Philips curve in the USA:A nonlinear quantile regression approach”. Economic Modeling 49.186-197.