Abstract
This paper primarily examines whether the ‘hybrid new Keynesian Phillips curve’ (HNKPC) holds for four important emerging economics viz., Brazil, Russia, India and South Africa. This has been done after testing for the structural stability of this relationship. Econometric issues like the test of unit roots in presence of a structural break and estimation of output gap have also been done appropriately. Our findings suggest that the HNKPC is not stable for all the four countries. However, the analysis based on the two sub-periods thus formed clearly shows mixed evidence in respect of holding of this relationship.
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Notes
The data on WPI has been obtained from the official website of Reserve Bank of India (www.rbi.org.in).
Perron and Yabu (2009) have considered a quasi-feasible generalized least squares technique that uses a super-efficient estimate of the sum of autoregressive parameters, which governs the stationary or integrated behaviour of a time series.
Kim and Perron (2009) have considered three types of additive outlier models viz., A1, A2 and A3, representing the occurrence of a structural break only in the intercept, only in the slope, and both in the intercept and slope coefficients of a time series, respectively.
References
Agenor, P., C. McDermott, and E. Prasad. 2000. Macroeconomic fluctuations in developing countries: Some stylized facts. World Bank Economic Review 14(2): 251–285.
Andrews, D.W. 1993. Tests for parameter instability and structural change with unknown change point. Econometrica 61(4): 821–856.
Andrews, D.W. 2003. Tests for parameter instability and structural change with unknown change point: A corrigendum. Econometrica 71(1): 395–397.
Andrews, D.W., and W. Ploberger. 1994. Optimal tests when a nuisance parameter is present only under the alternative. Econometrica 62(6): 1383–1414.
Areosa, W.D., and M. Medeiros. 2007. Inflation dynamics in Brazil: The case of small open economy. Brazilian Review of Econometrics 27(1): 131–166.
Balakrishnan, P. 1991. Pricing and Inflation in India. Delhi: Oxford University Press.
Balakrishnan, P. 1992. Industrial price behaviour in India: An ’error-correction’ model. Journal of Develpment Economics 37(1–2): 309–326.
Bautista, C.C. 2003. Estimates of output gaps in four Southeast Asian countries. Economics Letters 80(3): 365–371.
Bhalla, S.S. 1981. India’s closed economy and world inflation. In World inflation and developing countries, ed. I.R. Associates. Washington, DC: Brooking Institute.
Bhattacharya, B.B. 1984. Public expenditure, inflation and growth: Macroeconomic analysis for India. New Delhi: Oxford University Press.
Bhattacharya, B.B., and M. Lodh. 1990. Inflation in India: An analytical survey. Artha Vijnana 32(1): 25–28.
Brahmananda, P.R., and G. Nagaraju. 2002. Inflation and growth in the world: some simple empirics, 1970–99. In Macroeconomics and monetary policy: Issues for a reforming economy, ed. M.S. Ahluwalia, Y.V. Reddy, and S.S. Tarapore, 43–66. New Delhi: Oxford University Press.
Burger, P., and M. Marinkov. 2006. The South African Phillips curve: how applicable is the Gordon model? South African Journal of Economics 74(2): 172–189.
Calvo, G. 1983. Staggered prices in a utility maximizing framework. Journal of Monetary Economics 12(3): 383–398.
Christiano, L. J., Eichenbaum, M., & C. Evans. 2001. Nominal rigidities and the dynamic effects of a shock to monetary policy. NBER Workin Papers 8403.
Clarida, R., and M. Gertler. 1997. How the Bundeshbank conducts monetary policy. In Reducing inflation: motivation and strategy, ed. C. Romer, and D. Romer, 363–412. Chicago: NBER.
Cogley, T., and J.M. Nason. 1995. Effects of Hodrick Prescott filter on trend and difference stationarytime series. Journal of Economics Dynamics and control 19(1–2): 253–278.
Devereux, M.B., P.R. Lane, and J. Xu. 2006. Exchange rates and monetary policy in emerging market economies. The Economic Journal 116(511): 478–506.
Dholakia, R.H. 1990. Extended Phillips curve for the Indian economy. Indian Economic Journal 38(1): 69–78.
Dickey, D.A., and W.A. Fuller. 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of American Statistical Association 74(366): 427–431.
Dua, P., and U. Gaur. 2010. Determination of inflation in an open economy Phillips curve framework: The case of developed and developing Asian countries. Macroeconomics and Finance in Emerging Market Economics 3(1): 33–51.
Dufour, J.M. 1997. Some impossibility theorems in ecnometrics, with applications to structural and dynamic models. Econometrica 65(6): 1365–1387.
Esanov, A., C. Merkl, and L. Vinhas de Souza. 2005. Monetary policy rules for Russia. Journal of Comparative Economics 33(3): 484–499.
Evangelist, M., and V. Sathe. 2006. Brazil’s 1998–1999 currency crisis (Unpublished manuscript).
Fasolo, A.M., and M.S. Portugal. 2004. Imperfect rationality and inflationary inertia: A new estimation of the Phillips curve for Brazil. Estudos Economicos (Sao Paulo) 34(4): 725–776.
Fedderke, J.W., and E. Schaling. 2005. Modelling inflation in South Africa: A multivariate cointegration analysis. South African Journal of Economics 73(1): 79–92.
Friedman, M. 1968. The role of monetary policy. American Economic Review 58(1): 1–17.
Fuhrer, J.C. 1997. The (un)importance of forward-looking behavior in price specifications. Journal of Money, Credit and Banking 29(3): 338–350.
Fuhrer, J., and G. Moore. 1995. Inflation persistence. Quarterly Journal of Economics 110(1): 127–159.
Gali, J., and M. Gertler. 1999. Inflation dynamics: A structural econometric analysis. Journal of Monetary Economics 44(2): 195–222.
Ghani, E. 1991. Rational expectations and price behaviour: A study of India. Journalof Development Economics 36(2): 295–311.
Goodfriend, M., and R. King. 2009. The great inflation drift. NBER Working Paper Series. N. 14862.
Granville, B., and S. Mallick. 2010. Monetary policy in Russia: identifying exchange rate shocks. Economic Modelling 27(1): 432–444.
Hamilton, J. 1989. A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57(2): 357–384.
Hansen, L.P. 1982. Large sample properties of generalized method of moments estimators. Econometrica 50(4): 1029–1054.
Ho, C., & R. N. McCauley. 2003. Living with flexible exchange rates: issues and recent experience in inflation targeting emerging economics. BIS Working Papers, No: 130.
Jondeau, E., and H. Le Bihan. 2005. Testing for the New Keynesian Phillips curve. Additional international evidence. Economic Modelling 22(3): 521–550.
Kim, C.-J. 1994. Dynamic linear models with Markov-switching. Journal of Econometrics 60(1–2): 1–22.
Kim, C.-J., and Y. Kim. 2008. Is the backward-looking component important in a new keynesian Phillips curve? Studies in Nonlinear Dynamics & Econometrics 12(3): 84–101.
Kim, D., and P. Perron. 2009. Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypothesis. Journal of Econometrics 148(1): 1–13.
Kishore,N. K. 2009. Modelling inflation in India: the role of money. MPRA Paper no- 16098 July.
Kleibergen, F. 2002. Pivotal statistics for testing structural parameters in instrumental variables regression. Econometrica 70(5): 1781–1803.
Lam, P.-S. 1990. The Hamilton model with a general autoregressive component: Estimation and comparison with other models of economic time series. Journal of Monetary Economics 26(3): 409–432.
Lee, J., and C.R. Nelson. 2007. Expectation horizon and the Phillips curve: the solution to an empirical puzzle. Journal of Applied Econometrics 22(1): 161–178.
Lucas, R. 1976. Econometric policy evaluation: A critique. In The Phillips curve and labour markets, ed. K. Brunner, and A. Meltzer, volume 1, 19–46. New York: Carnegie-Rochester conference series on public policy.
Mallick, S., and H. Marques. 2008. Passthrough of exchange rate and tariffs into import prices of India: Currency depreciation versus import liberalization. Review of International Economics 16(4): 765–782.
Mazali, A.A., and J.A. Divino. 2010. Real wage rigidity and the new Phillips curve: The Brazilian case. Revista Brasileira de Economia 64(3): 291–306.
Menon, J. 1995. Exchange rate pass-through. Journal of Economic Surveys 9: 197–231.
Mohanty, M.S., and M. Klau. 2001. What determines inflation in emerging market economics? BIS Papers 8: 1–38.
Nachane, D.M., and R. Laxmi. 2002. Dynamics of inflation in India: A P-Star approach. In Macroeconomics and monetary policy: Issues for a reforming economy, ed. M.S. Ahluwalia, Y.V. Reddy, and S.S. Tarapore, 67–85. New Delhi: Oxford University Press.
Nason, J.M., and G.W. Smith. 2008. Identifying the new Keynesan Phillips curve. Journal of Applied Econometrics 23(5): 525–551.
Neiss, K., and E. Nelson 2002. Infltion dynamics, marginal cost, and the output gap: evidence from three countries. Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
Nelson, C.R., and C.I. Plosser. 1982. Trends and random walks in macroeconomic time series: some evidence and implications. Journal of Monetary Economics 10(2): 139–162.
Newey, W.K., and K.D. West. 1987. A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix. Econometrica 55(3): 703–708.
Perron, P. 1989. The great crash, the oil price shock and the unit root hypothesis. Econometrica 57(6): 1361–1401.
Perron, P. 1990. Testing for a unit root in a time series with a changing mean. Journal of Business & Economic Statistics 8(2): 153–162.
Perron, P. 1997. Further evidence on breaking trend functions in macroeconomic variables. Journal of Econometrics 80(2): 355–385.
Perron, P., and T.J. Vogelsang. 1993. The great crash, the oil price shock and the unit root hypothesis: Erratum. Econometrica 61(1): 248–249.
Perron, P., and T. Wada. 2009. Let’s take a break: Trends and cycles in US real GDP. Journal of Monetary Economics 56(6): 749–765.
Perron, P., and T. Yabu. 2009. Testing for shifts in trend with an integrated or stationary noise component. Journal of Business and Economic Statistics 27(3): 369–396.
Phelps, E.S. 1968. Money-wage dynamics and labour market equilibrium. Journal of Political Economy 76(4): 678–711.
Phillips, A.W. 1958. The relationship between unemployment and the rate of change of money wages in the United Kingdom 1861–1957. Economica 25(100): 283–299.
Pinheiro, A.C. 1996. The Brazilian economy in the nineties: retrospect and policy changes. Rio de Janeiro: BNDES, Economics Department.
Pinheiro, A.C., F. Giambagi, and J. Gostkorzewicz. 2000. Brazil’s macroeconomic performance in the 1990s. Rio de Janeiro: BNDES (unpublished).
Rangarajan, C. 1983. Conflict between employment and inflation. In Employment policy in a devloping country—a case study of India, ed. A. Robinson. London: Macmillan.
Rotemberg, J., and M. Woodford. 1997. An optimization based econometric framework for the evaluation of monetary policy. NBER Chapters 12: 297–361.
Rudd, J., and K. Whelan. 2007. Modeling inflation dynamics: A critical review of recent reserch. Jurnal of Money, Credit and Banking 39(s1): 155–170.
Sargent, T. 1971. A note on accelerationist controversy. Journal of Money, Credit, and Banking 3(3): 721–725.
Staiger, D., and J.H. Stock. 1997. Instrumental variables regression with weak instruments. Econometrica 65(3): 557–586.
Svensson, L.O. 2000. Does the P* model provide any rationale for monetary targeting. German Economic Review 1(1): 69–81.
Taylor, J.B. 2000. Low inflation, pass-through, and the pricing power of firms. European Economic Review 44(7): 1389–1408.
Virmani, V. 2004. Estimating the output gap for the Indian economy: comparing results from unobserved-components models and the Hodrick–Prescott filter. Working paper, Indian Institute of Management, 1–12.
Vogelsang, T.J., and P. Perron. 1998. Additional tests for a unit root allowing for a break in the trend function at an unknown time. International Economic Review 39(4): 1073–1100.
Wang, J., and E. Zivot. 1998. Inference on structural parameters in instrumental variables regression with weak instruments. Econometrica 66(6): 1389–1404.
Zivot, E., and D.W. Andrews. 1992. Further evidence on the great crash, the oil price shock and the unit root hypothesis. Journal of Business and Economic Statistics 10(3): 251–270.
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The authors are thankful to an anonymous referee for very insightful comments. The errors, if any, lie solely with the authors.
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Chowdhury, K.B., Sarkar, N. Is the Hybrid New Keynesian Phillips Curve Stable? Evidence from Some Emerging Economies. J. Quant. Econ. 15, 427–449 (2017). https://doi.org/10.1007/s40953-016-0059-y
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DOI: https://doi.org/10.1007/s40953-016-0059-y