We estimate output gaps using three methods for Mainland China on annual data spanning 1982 – 2003. The estimates are similar and appear to co-move with inflation. Standards Phillips curves, however, do not fit the data well. This may reflect the omission of some important variable(s) such as the effect of price deregulation, trade liberalisation and/or changes in the exchange rate regime. We reestimate the Phillips curves assuming that there is an unobserved variable that follows an AR(2) process. The modified model fits the data much better and accounts for some of the surprising features of the simple Phillips curve estimates.
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Paper provided by Bank for International Settlements in its series BIS Working Papers with number
194.
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data) E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General E53 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Deposit Insurance
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Joerg Scheibe & David Vines, 2005.
"A Phillips Curve For China,"
CAMA Working Papers
2005-02, Australian National University, Centre for Applied Macroeconomic Analysis.
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