Evaluation of Exchange Rate Regime’s Effect on Real Exchange Rate Misalignment: An Application of Propensity Score Matching Approach

Malekhosseini, Seyed Hasan; Tayebi, Seyed Komail; Rafat, Monireh; Yazdani, Mahdi

doi:10.22054/ijer.2022.62893.1026

Document Type : Research Paper

Authors

¹ PhD of Economics, Department of Economics, University of Isfahan, Isfahan, Iran

² Professor, Department of Economics, University of Isfahan, Isfahan, Iran

³ Associate Professor, Department of Economics, University of Isfahan, Isfahan, Iran

⁴ Assistant Professor, Department of Economics, Shahid Beheshti University, Tehran, Iran

https://doi.org/10.22054/ijer.2022.62893.1026

Abstract

Estimating the real exchange rate misalignment from the equilibrium value and exploring the factors affecting its changes is crucial for both economic policymakers and economic agents. Among the various factors affecting exchange rate misalignment, the exchange rate regime, has received less attention in experimental studies. Accordingly, the present paper seeks to find out the answer to the question of how real exchange rate misalignment is affected by different exchange rate regimes. In other words, in which of the exchange rate regimes is the exchange rate misalignment less and in which one it is higher? To answer the question, the propensity score matching approach has been used. For this purpose, we have used data from 116 developing countries with different exchange rate regimes in 2019. Other factors such as real exchange rate misalignment in the previous period, inflation, the quality of institutions and financial development have been considered as match variables to net the effect of the exchange rate regime on real exchange rate misalignment and to separate the effects of other variables. The results showed that the real exchange rate misalignment from its equilibrium level has responded significantly to the type of exchange rate regime adopted by the countries, so that the floating exchange rate regime increases the real exchange rate misalignment in the selected developing countries wherever implemented. It can be argued that factors such as high exchange rate fluctuations, a more drastic adjustment in the price level, and speculative bubbles or contagion effects in the floating exchange rate regime have led to an increase in these misalignments.

Keywords

20.1001.1.17260728.1401.27.93.3.7

Main Subjects

International economy

References

Abadie, A. & Imbens, G. (2002). Simple and bias-corrected matching estimators for average treatment Eefects. NBER Technical Working Paper, 283, 1-55.

Aghion, PH., Bacchetta, P., Ranciere, R. & Rogoff, K. (2009). Exchange rate volatility and productivity growth: the role of financial development. J Monet Econ; 56: 494–13.

Azizi Z, Hadian E. (2012). Estimating real exchange rate deviation from equilibrium value in Iran, using smooth transition regression. JPBUD. 7 (1), 7-27. [In Persian]

Artis, M., & Taylor, M. (1995). Misalignment, debt accumulation and fundamental equilibrium exchange rates. National Institute Economic Review, 153(1), 73–83.

Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of economic surveys, 22(1), 31-72.

Calvo, G. A., & Reinhart, C. M. (2002). Fear of floating. The Quarterly journal of economics, 117(2), 379-408.

Cameron, A.C. & Trivedi, P.K. (2005) Micro econometrics: methods and applications. Cambridge University Press, New York.

Cermeo, R., and M. Senin. (2015). Are flexible exchange rate regimes more volatile? Panel Garch Evidence for the G7 and Latin America? Review of Development Economics 19 (2): 297–308.

Collins SM. (1996). On becoming more flexible: exchange rate regimes in Latin America and the Caribbean. J Dev Econ; 51(1): 117–38.

Coudert V, Couharde C. (2009). Currency misalignments and exchange rate regimes in emerging and developing countries. Rev Int Econ; 17(1):121–136.

Cushman, D., & Vita, G.D. (2017). Exchange rate regimes and fdi in developing countries: a propensity score matching approach. Journal of International Money and Finance, 77, 143–163.

Dağdeviren, S., Binatli, A. O., & Sohrabji, N. (2012). Misalignment under different exchange rate regimes: The case of Turkey. International Economics, 130, 81-98.

Dubas, J. M. (2009). The importance of the exchange rate regime in limiting misalignment. World Development, 37(10), 1612-1622.

Edwards S. (1988). Exchange rate misalignment in developing countries. Baltimore: Johns Hopkins University Press.

Edwards, S. (1989). Exchange rate misalignment in developing countries, The World Bank Research Observer, 4(1), 3-21.

Elbadawi IA., Kaltani L., & Soto R. (2012). Aid, real exchange rate misalignment, and economic growth in Sub- Saharan Africa. World Dev. 40(4):681–700.

Essien, Sunday N., Uyaebo, Stephen O. U., & Omotosho, Babatunde S. (2017). Exchange rate misalignment under different exchange rate regimes in Nigeria, CBN Journal of Applied Statistics, ISSN 2476-8472, the Central Bank of Nigeria, Abuja, 8(1), 1-21.

Fischer, S. (2002). Financial crises and reform of the international financial system. Review of world economics, 139(1), 1-37.

Frölich, M. (2007). Propensity score matching without conditional Independence assumption—with an application to the gender wage gap in The United Kingdom. The Econometrics Journal, 10(2), 359-407.

Goldfajn, I., & Valdes, R. O. (1999). The aftermath of appreciations. The Quarterly Journal of Economics, 114(1), 229-262.

Heckman, J. J., Ichimura, H., Smith, J. A., & Todd, P. E. (1998). Characterizing selection bias using experimental data. Econometrica, 66(5), 261-294.

Holland, P. W. (1986). Statistics and causal inference. Journal of the American statistical Association, 81(396), 945-960.

Holtemöller, O., & Mallick, S. (2013). Exchange rate regime, real misalignment and currency crises. Economic Modelling, 34, 5-14.

Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of economic literature, 47(1), 5-86.

Jafari Samimi, A., & Ghobadi, S. (2016). Assessing the misalignments of the real exchange rate using the BEER approach, The Journal of Economic Policy, 8(15), 55-76. [In Persian]

Kazemi Zaroomi, H., Jafari Samimi, A., & Karimi Potanlar, S. (2020). The impact of inflation targeting on direct taxes in selected countries: A propensity score matching (psm) approach. International Journal of New Political Economy, 1(2), 133-151.

Kazemi Zaroomi, H., Jafari Samimi, A., & Karimi Potanlar, S. (2020). The effect of inflation targeting on indirect tax performance in selected countries using propensity score matching model, International Journal of Business and Development Studies, 12(1), 5-19.

Keshavarz Hadad, G.H. (2017). Micro data econometrics and policy Evaluation, Tehran: Ney Publisher. [In Persian]

Mehrara, M. (2006). Estimating the real equilibrium exchange rate in the Iranian economy, Journal of Economic Research, 6(21), 167-208. [In Persian]

Lee, M.J. (2005). Micro-econometrics for policy, program, and treatment effects. Oxford University Press Inc., New York, USA.

Mozayani, A. H., & Ghorbani, S. (2019). Exchange rate misalignment and inflationary regimes in iran, applied Theories of Economics, 6(2), 189-214. [In Persian]

Mozayani, A. H., & Ghorbani, S. (2015). Nominal exchange rate misalignment in iran’s economy. Majlis and Rahbord, 22(82), 199-233.

Mozayani, A. H., & Parvizi, S. (2016). Exchange rate misalignment in oil exporting countries (OPEC): focusing on Iran. Iranian Economic Review, 20(2), 261-276.

Nouira R., & Sekkat, Kh. (2015). What determines the extent of real exchange rate misalignment in developing countries? International Econ. 141, 135- 151.

Nouira R., Plane P., & Sekkat, Kh. (2011). Exchange rate undervaluation and manufactured exports: a deliberate strategy? J Comp Econ; 39(4), 584– 601.

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55.

Hinkle, L. E., & Monteil, P. J. (1999). Exchange rate misalignment: Concepts and measurement for developing countries. oxford university Press.

Mirdala, R. (2014). Exchange rate pass-through to domestic prices under different exchange rate regimes. William Davidson Institute Working Papers Series wp1070, William Davidson Institute at the University of Michigan.

Rodrik, D. (2008). The real exchange rate and economic growth. Brookings papers on economic activity, 2008(2), 365-412.

Rubin, D. (1972). Estimating causal effects of treatments in experimental and observational studies. Ets research bulletin series, 1972(2), i-31.

Slimani, S., & Ben Allem, K. (2018). Determinants of real exchange rate Misalignment: An empirical analysis for MENA region. Munich Personal RePEc Archive, 91605(21), 1-13.

Tayebi, S.K., Kamalian, A., Sarkhosh Sara, A., & Mobini Dehkordi, M. (2019). Analyzing the effects of globalization on the government budget deficit: the matching approach. Journal of Economics Modelling, 10(1), 65-96. [In Persian]

Todd, P. A., Briers, R. A., Ladle, R. J., & Middleton, F. (2006). Phenotype environment matching in the shore crab (Carcinus maenas). Marine Biology, 148(6), 1357-1367.

Willett, T. D. (1986). Exchange-rate volatility, international trade, and resource allocation: A perspective on recent research. Journal of International Money and Finance, 5, S101-S112.

Yagci, F. (2001). Choice of exchange rate regimes for developing countries. World Bank-African Region Working Paper Series, 16, 1-27.

Zhao, Z. (2004). Using matching to estimate treatment effects: Data Requirements, matching metrics, and Monte Carlo evidence. The Review of Economics and Statistics, 86, 91-107.

Iranian Journal of Economic Research

Evaluation of Exchange Rate Regime’s Effect on Real Exchange Rate Misalignment: An Application of Propensity Score Matching Approach

References

References

Volume 27, Issue 93 - Serial Number 93
February 2023
Pages 105-136

Evaluation of Exchange Rate Regime’s Effect on Real Exchange Rate Misalignment: An Application of Propensity Score Matching Approach

References

References

Volume 27, Issue 93 - Serial Number 93February 2023Pages 105-136

Volume 27, Issue 93 - Serial Number 93
February 2023
Pages 105-136