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Analysis of Monetary Policy Shocks in the New Keynesian Model for Viet Nams Economy: Rational Expectations Approach

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Beyond Traditional Probabilistic Methods in Economics (ECONVN 2019)

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Abstract

The study estimates the SVAR model for Vietnam’s economy based on the New Keynesian model for the small open economy, taking into account the forward-looking behavior exhibited by economic agents. Deep structural parameters are identified by placing exclusion restrictions on the VAR innovations and the covariance matrix. The study affirms the important role of interest rates through monetary policy shocks in controlling inflation and macroeconomic stability. In addition, the exchange rate shock reflects Viet Nam’s exchange rate management mechanism, which is in line with the SBV’s management objective in an opened economy but with a controlled flow of capital. In addition, the aggregate demand shock shows the impact of interest rates and inflation on output volatility of the economy in the way of reducing interest rates, stabilizing inflation but increasing output, this is also the SBV’s final goal. In contrast, this study shows that the approach method is not general, has not set the rational expectations channel in combination with other transmission channels for analysis; the transparency, public credibility with the SBV policy or the control of capital flows in Vietnam are also a barrier for this channel to maximize its effectiveness. Finally, the study reaffirms the crucial role of monetary policy in managing monetary policy effectively, recommending the SBV to improve its planning, analyzing and forecasting policy towards a sustainable and stable growth.

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Notes

  1. 1.

    IS/LM - AS/AD: Investment Saving/Liquidity Preference Money Supply - Aggregate Supply/Aggregate Demand [49].

  2. 2.

    There are approximately 20 central banks in 2012 according to Hamilton [31].

  3. 3.

    The output gap is defined as the difference between the actual output of the economy and its potential output. (Bank of Canada, 2012). This text can be found at: bankofcanada.ca - search for “backgrounders”.

  4. 4.

    According to Leu [43].

  5. 5.

    Equations from (i) - (iv) are derived from the IMF’s study [25].

  6. 6.

    According to Mishkin [49], when the Fed wants to evaluate the changes in the economy by raising short-term interest rates from 5% to 8%. The term structure equation used with past data indicates that there is a slight variation in long-term interest rates. However, if the public finds that short-term interest rates are rising steadily, the rational expectation theory suggests that the economic agents will no longer expect short-term interest rates to increase at present. Instead, when they see interest rates increase by 8%, they will expect the average short-term interest rate to rise significantly. Then the long-term interest rates will increase sharply, but not in the interest rates’s term structure. Therefore, it can be seen that evaluating the results of the Fed’s policy change with econometric models can lead to misleading.

  7. 7.

    The rational expectations theory was first introduced in 1961s by Muth but the public has just really focused on this theory when Lucas introduced it at the Carnegie-Rochester Conference (1973–1976).

  8. 8.

    The HP filter is a univariate detrending algorithm that extracts the potential output component by minimising a particular loss function. The smoothness of the HP stochastic trend depends on the input value of an ad - hoc smoothness parameter. For quarterly data [33] recommended setting the smoothness parameter to 1600.

  9. 9.

    This lag is consistent with Leu’s [43] study which is commonly used to obtain a result with time series data. Given the quarterly data and its relatively small sample size, the upper bound was set at 4 lags for both endogenous variables and 1 lag to 4 lags for exogenous variables. However, the system of equations in VAR (4, 1) and VAR (4, 2) failed to reject the null of no serial correlation. Therefore, the study examined the lag of exogenous variables to seek a more parsimonious specification. Using the likelihood ratio test in which VAR (4, 4) and VAR (4, 3) fit, there is no autocorrelation problem.

  10. 10.

    The calculation’s method of confidence interval has based on bootstrapping technique with 5000 times simulation [68].

  11. 11.

    The central exchange rate is determined on the basis of reference to the weighted average exchange rate movement in the inter-bank foreign exchange market, the exchange rate movement in the international market of foreign currencies of several countries having trade, lending - borrowing relations or large investment with Vietnam, the macro - economic and national monetary balances in line with the SBV monetary policy targets. The new method of managing exchange rate allows exchange rate system to be determined more flexibly in line with the domestic supply and demand of foreign currencies, the fluctuations of exchange rate in the international market, while ensuring the role of the SBV in managing the monetary policy [19].

  12. 12.

    According to Bloomberg (2008) on the level of currency stability of several currencies in Asia, VND is considered to be currency in the most stable group. As of 31/12/2017, the central exchange rate between VND and USD announced by the SBV was at 22,425 VND/USD, increasing by 1.2% compared to that in late 2016.

  13. 13.

    In Directive No. 01/CT - NHNN dated 10/1/2017 on implementing the monetary policy and ensuring safe and effective banking operations in 2017, the State Bank of Vietnam has guided” the management of interest rates in line with changes in macroeconomy, inflation and the monetary market to stabilize interest rates; On the basis of the ability to control inflation, stabilize the foreign exchange market, strive to reduce lending interest rates.

  14. 14.

    The \(1^\text {st}\) shock: aggregate demand shock; the \(2^\text {nd}\) shock: inflation shock, the \(3^\text {rd}\) shock: exchange rate shock, the \(4^\text {th}\) shock: interest rate shock.

  15. 15.

    Vietnam’s economic growth and inflation rate since 2001 have shifted from “relatively high growth, low inflation” to “high growth, moderate inflation” (2004–2007), then moved to the position of “good growth, high inflation” (2008–2011), “low growth, low inflation” (2012–2014), and to this stage is” growth and inflation (2015–2017). Results of the last 3 years (2015–2017) show that the relative stability of the economy is a condition for the accumulation of factors necessary for the later high growth period (Chu, K. L, 2018) [19].

References

  1. Aastveit, K.A., BjØrnland, H.C., Thorsrud, L.A.: The world is not enough! Small open economies and regional dependence. Working paper 2011/16, Economics Department, Norges Bank (2011)

    Google Scholar 

  2. Acosta-Ormaechea, S., Coble, D.L.: Monetary transmission in dollarized and non-dollarized economies: the cases of Chile, New Zealand, Peru and Uruguay. IMF document de trabajo, WP/11/87 (2011)

    Google Scholar 

  3. An, S., Schorfheide, F.: Bayesian analysis of DSGE models. Econ. Rev. 26(2–4), 113–172 (2006)

    MathSciNet  MATH  Google Scholar 

  4. An, S., Schorfheide, F.: Bayesian analysis of DSGE models. Econ. Rev. 26(2–4), 113–172 (2007). https://doi.org/10.1080/07474930701220071

    Article  MathSciNet  MATH  Google Scholar 

  5. Andrle, M.A., Berg, A., Morales, R., Portillo, R., Vleck, V.: Forecasting and monetary policy analysis in low income countries (1): food and non-food inflation in Kenya. Working Paper, International Monetary Fund, Washington, D.C (2013)

    Article  Google Scholar 

  6. Berg, A., Karam, P., Laxton, D.: Practical model - based monetary policy analysis - a how to guide. IMF Working Paper, WP/06/81 (2006)

    Google Scholar 

  7. Berg, A., Portillo, R., Unsal, D.F.: On the optimal adherence to money targets in a new-Keynesian framework: an application to low-income countries. Working Paper, International Monetary Fund, Washington D.C (2010)

    Article  Google Scholar 

  8. Berg, A., Charry, L., Portillo, R., Vlcek, J.: The monetary transmission mechanism in the tropics: a narrative approach. Working Paper no WP/13/197, International Monetary Fund, Washington D.C (2013)

    Google Scholar 

  9. Bhuiyan, R.: The effects of monetary policy shocks in Bangladesh: a Bayesian structural VAR approach. Int. Econ. J. 26(2), 301–316 (2012)

    Article  Google Scholar 

  10. Blanchard, O., Galí, J.: Labor markets and monetary policy: a new Keynesian model with unemployment. Am. Econ. J. Macroecon. 2(2), 1–30 (2010)

    Article  Google Scholar 

  11. Bofinger, P., Mayer, E., Wollmershauser, T.: The BMW model: a new framework for teaching monetary economics. J. Econ. Educ. 98– 117 (2005)

    Article  Google Scholar 

  12. Carlin, W., Soskice, D.: The 3-equation new Keynesian model - a graphical exposition. Contrib. Macroecon. 5(1), 13 (2005)

    Article  Google Scholar 

  13. Calvo, G.A.: Staggered prices in a uility-maximizing framework. J. Monet. Econ. 12(3), 383–398 (1983)

    Article  MathSciNet  Google Scholar 

  14. Calzolari, G., Panattoni, L., Weihs, C.: Computational efficiency of FIML estimation. J. Econ. 36(3), 299–310 (1987)

    Article  MATH  Google Scholar 

  15. Cao, T.Y.N., Le, T.G.: Using SVAR model for testing monetary transmission and suggesting for monetary policy in Viet Nam. J. Econ. Dev. 216, 37–47 (2015)

    Google Scholar 

  16. Chen, S.S.: DSGE Models and Central Bank Policy Making: A Critical Review. Department of economics national Taiwan university, National Taiwan University (2010)

    Google Scholar 

  17. Cho, S., Moreno, A.: A structural Estimation and Interpretation of the New Keynesian Macro Model. Universidad de Navarra, Working Paper n0 14/03 (2003)

    Google Scholar 

  18. Christiano, L.J., Eichenbaum, M., Evans, C.: Nominal rigidities and the dynamic effects of a shock to monetary policy. J. Polit. Econ. 113(1), 1–45 (2005)

    Article  Google Scholar 

  19. Chu, K.L.: Monitoring monetary policy and the orientation in 2018. J. Financ. (2018). http://tapchitaichinh.vn/nghien-cuu-trao-doi/trao-doi-binh-luan/dieu-hanh-chinh-sach-tien-te-va-dinh-huong-trong-nam-2018-135403.html

  20. Clarida, R., Galí, J., Gertler, M.: Monetary policy rules in practice: some international evidence. Eur. Econ. Rev. 42, 1033–1067 (1998)

    Article  MATH  Google Scholar 

  21. Clarida, R., Galí, J., Gertler, M.: The science of monetary policy: a new Keynesian perspective. J. Econ. Lit. 37(4), 1661–1707 (1999)

    Article  Google Scholar 

  22. Clarida, R., Galí, J., Gertler, M.: Monetary policy rules and macroeconomic stability: evidence and some theory. Q. J. Econ. 115(1), 147–180 (2000)

    Article  MATH  Google Scholar 

  23. Colander, D.: The stories we tell: a reconsideration of AS/AD analysis. J. Econ. Perspect. 9(Summer), 169–88 (1995)

    Article  Google Scholar 

  24. Dhrymes, P., Thomakos, D.: Structural VAR, MARMA, and open economy models. Int. J. Forecast. 14, 187–198 (1998)

    Article  Google Scholar 

  25. Dizioli, A., Schmittmann, J.M.: A Macro - model approach to monetary policy analysis and forecasting for Viet Nam. IMF Working Paper, WP/15/273 (2015)

    Article  Google Scholar 

  26. Dinh, T.T.H., Phan, D.M.: The effectiveness of monetary policy through interest rate channel. J. Dev. Integr. 12(22), 39–47 (2013)

    Google Scholar 

  27. Fuhrer, J., Moore, G.: Inflation persistence. Q. J. Econ. 110, 127–159 (1995)

    Article  MATH  Google Scholar 

  28. Galí, J.: Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework. Princeton University Press, Princeton (2008)

    Google Scholar 

  29. Galí, J., Monacelli, T.: Monetary Policy and Exchange Rate Volatility in a Small Open Economy. Mimeo, Boston College (2002)

    Google Scholar 

  30. Gruen, D., Pagan, A., Thompson, C.: The phillips curve in Australia. J. Monet. Econ. 44, 223–258 (1999)

    Article  Google Scholar 

  31. Hamilton, J.D., Wu, J.C.: The effectiveness of alternative monetary policy tools in a zero lower bound environment. J. Money Credit. Bank. 44, 3–46 (2012)

    Article  Google Scholar 

  32. Hodge, A., Robinson, T., Stuart, R.: A small BVAR-DSGE model for forcasting the Australian Economy. RBA Research Discussion Paper 2008 - 04 (2008)

    Google Scholar 

  33. Hodrick, R., Prescott, E.C.: Postwar U.S. business cycles: an empirical investigation. J. Money Credit. Bank. 29(1), 1–16 (1997)

    Article  Google Scholar 

  34. Hung, L.V., Pfau, W.D.: VAR analysis of the monetary transmission mechanism in Vietnam. Appl. Econ. Int. Dev. 9(1), 165–179 (2009)

    Google Scholar 

  35. Huynh, T.C.H., Le, T.L., Le, T.H.M., Hoang, T.P.A.: Testing macro - variables which effecting stock market in Viet Nam. J. Sci. 3(2), 70–78 (2014)

    Google Scholar 

  36. Jondeau, E., Le Bihan, H.: Testing for the new Keynesian phillips curve: additional international evidence. Econ. Model. 22, 521–550 (2005)

    Article  Google Scholar 

  37. Keating, J.W.: Identifying VAR models under rational expectations. J. Monet. Econ. 25(3), 453–476 (1990)

    Article  Google Scholar 

  38. Keating, J.W.: Macroeconomic modeling with asymmetric vector autoregressions. J. Macroecon. 22(1), 1–28 (2000)

    Article  Google Scholar 

  39. Keynes, J.M.: The General Theory of Employment Interest and Money. Macmillan Cambridge University Press, New York (1936)

    Google Scholar 

  40. Kilinc, M., Tunc, C.: Identification of Monetary Policy Shocks in Turkey: A Structural VAR Approach, 1423 (2014)

    Google Scholar 

  41. Kydland, F.E., Prescott, E.C.: Time to build and aggregate fluctuations. Econometrica 50(6), 1345–1370 (1982)

    Article  MATH  Google Scholar 

  42. Lees, K., Matheson, T., Smith, C.: Open economy DSGE-VAR forecasting and policy analysis: head to head with the RBNZ published forecasts. CAMA Working Paper 5/2007 (2007)

    Google Scholar 

  43. Leu, S.C.Y.: A new Keynesian SVAR model of the Australian economy. Econ. Model. 28(1), 157–168 (2011)

    Article  MathSciNet  Google Scholar 

  44. Lubik, T.A., Schorfheide, F.: Do central banks respond to exchange rate movements? A structural investigation. J. Monet. Econ. 54(4), 1069–1087 (2007)

    Article  Google Scholar 

  45. Lucas, R.E.: Econometric Policy Evaluations: A Critique. Carnegie - Rochester Conference Series on Public Policy. Elsevier Science Publishers B. V (North - Holland), 1983 (1976)

    Google Scholar 

  46. McCallum, B., Nelson, E.: Nominal incom e targeting in an open economy optimising model. J. Monet. Econ. 43, 553–578 (1999)

    Article  Google Scholar 

  47. McCallum, B., Nelson, E.: Monetary policy for an open economy: an alternative framework with optimising agents and sticky prices. Oxf. Rev. Econ. Policy 16, 74–91 (2000)

    Article  Google Scholar 

  48. Mishra, P., Montiel, P.J., Spilimbergo, A.: Monetary transmission in low-income countries: effectiveness and policy implications. IMF Econ. Rev. 60(2), 270–302 (2012)

    Article  Google Scholar 

  49. Mishkin, F.S.: The Economics of Money, Banking and Financial Markets. Pearson Education, London (2012)

    Google Scholar 

  50. Mohanty, D.: Evidence on interest rate channel of monetary policy transmission in India. In: Second International Research Conference at the Reserve Bank of India, pp. 1–2 (2012)

    Google Scholar 

  51. Ncube, M., Ndou, E.: Monetary policy transmission, house prices and consumer spending in South Africa: An SVAR approach. African Development Bank Group Working Paper, 133 (2011)

    Google Scholar 

  52. Nguyen, T.K.: Monitoring interest rate of the State Bank of Viet Nam. J. Bank. (2017)

    Google Scholar 

  53. del Negro, M., Schorfheide, F.: Priors from general equylibrium models for VARs. Int. Econ. Rev. 45(2), 643–673 (2004)

    Article  Google Scholar 

  54. del Negro, M., Schorfheide, F.: Monetary policy analysis with potentially misspecified models. IMF Working paper, 475 (2005)

    Google Scholar 

  55. del Negro, M., Schorfheide, F.: How good is what you’ve got? DSGE-VAR as a toolkit for evaluating DSGE models. Econ. Rev. 91(2), 21–37 (2006)

    Google Scholar 

  56. del Negro, M., Schorfheide, F.: Inflation dynamics in a small openeconomy model under inflation targeting: Some evidence from Chile. Federal Reserve Bank of New York Staff Reports, No. 329 (2009)

    Google Scholar 

  57. Nguyen, D.T.: The application dynamic stochastic general equilibrium in analyzing aggregate demand in Viet Nam economy. Bank. Sci. Traning Rev. 167, 17–19 (2016)

    Google Scholar 

  58. Nguyen, D.T., Nguyen, H.C.: A small - opened foracasting model for Viet Nam. J. Econ. Dev. 28(10), 5–39 (2017). T10/2017

    Article  Google Scholar 

  59. Nguyen, K.Q.B., et al.: The impact of monetary policy on Viet Nam economy. Scientific research works, University of Economics HCMc (2013)

    Google Scholar 

  60. Nguyen, P.C.: The transmission regime of monetary through the financial asset price channel: emperical evidence in Viet Nam. J. Dev. Integr. 19(29), 11–18 (2014)

    Google Scholar 

  61. Nguyen, T.L.H., Tran, D.D.: The study of inflation in Viet Nam through SVAR method. J. Dev. Integr. 10(20), 32–38 (2013)

    Google Scholar 

  62. Pagan, A.R., Catão, L., Laxton, D.: Monetary transmission in an emerging targeter: the case of Brazil. IMF Working Papers, pp. 1–42 (2008)

    Article  Google Scholar 

  63. Pham, T.A.: Using SVAR model to identificate the effect of monetary policy and forecast inflation in Viet Nam, National Economics Universtiy (2008)

    Google Scholar 

  64. Pham, T.A., Dinh, T.M.: The exchange rate policy: what is the selection for Viet Nam? J. Econ. Dev., 210 (2014)

    Google Scholar 

  65. Raghavan, M., Silvapulle, P.: Structural VAR approach to Malaysian monetary policy framework: evidence from the pre-and post-Asian crisis periods. In: New Zealand Association of Economics, NZAE Conference, pp. 1–32 (2008)

    Google Scholar 

  66. Roberts, J.: How well does the new Keynesian sticky price model fit the data? Board of Governors of the Federal Reserve System, Finance and Economics Discussion Paper 2001-13 (2001)

    Google Scholar 

  67. Romer, D.: Keynesian macroeconomics without the LM curve. J. Econ. Perspect. 14(2), 149–169 (2000)

    Article  Google Scholar 

  68. Runkle, D.: Vector autoregressions and reality. J. Bus. Econ. Stat. 5, 437–442 (1987)

    MathSciNet  Google Scholar 

  69. Spanos, A.: The simultaneous equations model revisited: statistical adequacy and identification. J. Econ. 44, 87–105 (1990)

    Article  Google Scholar 

  70. Taylor, J.B.: Discretion versus policy rules in practice. In: Carnegie-Rochester Conference Series on Public Policy, vol. 39, pp. 195–214 (1993)

    Article  Google Scholar 

  71. Taylor, J.B.: The role of the exchange rate in monetary-policy rules. Am. Econ. Rev. 91(2), 263–267 (2001)

    Article  Google Scholar 

  72. Tram, T.X.H., Vo, X.V., Nguyen, P.C.: Monetary transmission through interest rate channel in Viet Nam. J. Dev. 283, 42–67 (2014)

    Google Scholar 

  73. Tran, N.T., Nguyen, H.T.: The regime of monetary transmission in Viet Nam, approaching through SVAR model. J. Dev. Integr. 10(20), 8–16 (2013)

    Google Scholar 

  74. Vinayagathasan, T.: Monetary policy and real economy: a structural VAR approach for Sri Lanaka. National Graduate Institute for Policy Studies, 7–22 (2013)

    Google Scholar 

  75. Walsh, C.E.: Teaching inflation targeting: an analysis for intermediate macro. J. Econ. Educ. 33, 333–346 (2000)

    Article  Google Scholar 

  76. Wang, K.M., Lee, Y.M.: Market volatility and retail interest rate pass - through. Econ. Model. 26, 1270–1282 (2009)

    Article  Google Scholar 

  77. Weerapana, A.: Intermediate macroeconomics without the IS-LM model. J. Econ. Educ. 34(3), 241–262 (2003)

    Article  Google Scholar 

  78. Woodford, M.: Interest and Prices: Foundations of a Theory of Monetary Policy. Princeton University Press, Princeton (2003)

    Google Scholar 

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Trung, N.D., Hac, L.D., Chung, N.H. (2019). Analysis of Monetary Policy Shocks in the New Keynesian Model for Viet Nams Economy: Rational Expectations Approach. In: Kreinovich, V., Thach, N., Trung, N., Van Thanh, D. (eds) Beyond Traditional Probabilistic Methods in Economics. ECONVN 2019. Studies in Computational Intelligence, vol 809. Springer, Cham. https://doi.org/10.1007/978-3-030-04200-4_39

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