Rao, B. Bhaskara and Paradiso, Antonio (2011): Time series estimates of the US new Keynesian Phillips curve with structural breaks.
Preview |
PDF
MPRA_paper_28413.pdf Download (225kB) | Preview |
Abstract
This paper uses recent US data to estimate the new Keynesian Phillips curve (NKPC) with three modifications. Firstly, the variables in the NKPC are found to be nonstationary. Therefore, it is estimated with the time series methods and the cointegrating equations are tested for structural breaks. Secondly, inflationary expectations are proxied with the survey data. Thirdly, unlike in the hybrid NKPC, the effects of the lagged inflation rates are introduced into the dynamic adjustment equations. This offers an opportunity to estimate these dynamic effects with a more general specification instead of the restricted partial adjustment mechanism underlying the hybrid NKPC. Our NKPC, with these changes, is consistent with its underlying micro foundations and forward looking expectations. The results of our NKPC can explain the dynamics of the US inflation rate as well as any other alternative model.
Item Type: | MPRA Paper |
---|---|
Original Title: | Time series estimates of the US new Keynesian Phillips curve with structural breaks |
Language: | English |
Keywords: | US New Keynesian Phillips Curve, Forward looking expectations, Survey data, Wage share, Cointegration |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation |
Item ID: | 28413 |
Depositing User: | B. Bhaskara Rao |
Date Deposited: | 27 Jan 2011 15:22 |
Last Modified: | 27 Sep 2019 10:57 |
References: | Andersen, P. S. and Wascher, W. L. (2001), “Understanding the recent behaviour of inflation: An empirical study of wages and price developments in eight countries”, in: Empirical Studies of Structural Changes and Inflation, Bank of International Settlements, BIS Paper No. 3, 267-302. Baghestani, H. and Noori, E. (1988), “On the rationality of the Michigan monthly survey of inflationary expectations”, Economics Letters, 27, 333-315. Gali, J. and Gertler, M. (1999), “Inflation dynamics: A structural econometric analysis”, Journal of Monetary Economics, 44, 195-222. Gali, J., Gertler, M. and Lopez-Salido, J. D. (2005), “Robustness of the estimates of the hybrid New Keynesian Phillips Curve”, Journal of Monetary Economics, 52, 1107-118. Gregory, A. W. and Hansen, B. E. (1996), “Residual-based tests for cointegration in models with regime shifts”, Journal of Econometrics, 70, 99-126. Johansen, S. (1988), “Statistical analysis of cointegration vectors”, Journal of Economic Dynamics and Control, 12, 231-254. Johansen, S., Mosconi, R. and Nielsen, B. (2000), “Cointegration analysis in the presence of structural breaks in the deterministic trend”, Econometrics Journal, 5, 216-249. Pearce, D. K. (1978), “Comparing survey and rational measures of expected inflation: Forecast performance and interest rate effects”, Journal of Money, Credit and Banking, 11, 446-456. Pesaran, H. M., and Shin, Y. (1999), “Autoregressive distributed lag modelling approach to cointegration analysis, Chapter 11, in: Storm, S. (ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, Cambridge University Press. Park, J. Y. (1992), “Canonical cointegrating regression”, Econometrica, 60, 119-143. Phillips, P. C. B. (1987), “Times series regression with a unit root”, Econometrica, 55, 277-301. Phillips, P. C. B. and Hansen, B. E. (1990), “Statistical inference in instrumental variables regression with I(1) processes”, Review of Economic Studies, 57, 99-125. Rich, R. W. and Rissmiller (2000), “Understanding the recent behaviour of U.S. inflation”, Current Issues in Economics and Finance, 6 (July 2000), Federal Reserve Bank of New York. Rudd, J. and Whelan, K. (2006), “Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?”, American Economic Review, 96 (March), 303–320. Rudd, J. and Whelan, K. (2007), “Modelling inflation dynamics: A critical review of recent research”, Journal of Money, Credit and Banking, 39, 155–170. Schwert, G. W. (1989), “Tests for unit-roots: A Monte Carlo investigation”, Journal of Business and Economic Statistics, 7, 147-159. Stock, J. and Watson, M. (1993), “A simple estimator of cointegrating vectors in higher order integrated systems”, Econometrica, 61, 783-820 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/28413 |