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Evaluating the German (New Keynesian) Phillips Curve

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  • Scheufele, Rolf

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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  • Scheufele, Rolf, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).
  • Handle: RePEc:zbw:iwhdps:iwh-10-08
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    Cited by:

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    3. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2010. "A First Look on the New Halle Economic Projection Model," IWH Discussion Papers 6/2010, Halle Institute for Economic Research (IWH).
    4. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2012. "The Halle Economic Projection Model," Economic Modelling, Elsevier, vol. 29(4), pages 1461-1472.
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    6. Engelbert Stockhammer & Dimitris P. Sotiropoulos, 2014. "Rebalancing the Euro Area: The Costs of Internal Devaluation," Review of Political Economy, Taylor & Francis Journals, vol. 26(2), pages 210-233, April.
    7. El-Shagi, Makram, 2011. "Inflation expectations: Does the market beat econometric forecasts?," The North American Journal of Economics and Finance, Elsevier, vol. 22(3), pages 298-319.
    8. Friedrich L. SELL & David C. REINISCH, 2013. "How do the Eurozone's Beveridge and Phillips curves perform in the face of global economic crisis?," International Labour Review, International Labour Organization, vol. 152(2), pages 191-204, June.
    9. Sell, Friedrich L. & Reinisch, David C., 2013. "How do Beveridge and Phillips curves in the euro area behave under the stress of the world economic crisis?," Working Papers in Economics 2013,1, Bundeswehr University Munich, Economic Research Group.
    10. Choi, Yoonseok, 2021. "Inflation dynamics, the role of inflation at different horizons and inflation uncertainty," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 649-662.
    11. Christopher Malikane, 2017. "The labour share and the dynamics of output," Applied Economics, Taylor & Francis Journals, vol. 49(37), pages 3741-3750, August.

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    More about this item

    Keywords

    Inflation dynamics; Phillips Curve; Weak Instruments; Optimal Instruments;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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