Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
North American Journal of Economics and Finance,
No. 3,
2011
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts based on a number of forecasting techniques from the literature using a panel of ten industrialized countries during the period of 1988 to 2007. To capture expected inflation, we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
IWH Discussion Papers,
No. 16,
2009
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts
based on a number of forecasting techniques from the literature using a panel of
ten industrialized countries during the period of 1988 to 2007. To capture expected
inflation we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
IWH Discussion Papers,
No. 10,
2008
Abstract
This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid
variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out
the need for identification robust methods to get reliable estimates for the NKPC.
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Investment, Financial Markets, New Economy Dynamics and Growth in Transition Countries
Albrecht Kauffmann, P. J. J. Welfens
Economic Opening Up and Growth in Russia: Finance, Trade, Market Institutions, and Energy,
2004
Abstract
The transition to a market economy in the former CMEA area is more than a decade old and one can clearly distinguish a group of relatively fast growing countries — including Estonia, Poland, the Czech Republic, Hungary and Slovenia — and a majority of slowly growing economies, including Russia and the Ukraine. Initial problems of transition were natural in the sense that systemic transition to a market economy has effectively destroyed part of the existing capital stock that was no longer profitable under the new relative prices imported from world markets; and there was a transitory inflationary push as low state-administered prices were replaced by higher market equilibrium prices. Indeed, systemic transformation in eastern Europe and the former Soviet Union have brought serious transitory inflation problems and a massive transition recession; negative growth rates have continued over many years in some countries, including Russia and the Ukraine, where output growth was negative throughout the 1990s (except for Russia, which recorded slight growth in 1997). For political and economic reasons the economic performance of Russia is of particular relevance for the success of the overall transition process. If Russia would face stagnation and instability, this would undermine political and economic stability in the whole of Europe and prospects for integrating Russia into the world economy.
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