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Consumer and asset prices: Some recent evidence

Author

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  • Gerdesmeier, Dieter
  • Reimers, Hans-Eggert
  • Roffia, Barbara

Abstract

This paper models the relationship between consumer and asset prices (approximated by house prices, oil prices and the exchange rate) by means of a Markov Switching model (MS model). It can be shown that house prices appear to play a significant role in the determination of consumer prices in a high-inflation and a low-inflation regime, whereas oil prices and the exchange rate only unfold an impact in a high-inflation regime. Taken together, these results can be seen as being of help for the monetary policy decision-making process.

Suggested Citation

  • Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2015. "Consumer and asset prices: Some recent evidence," Wismar Discussion Papers 01/2015, Hochschule Wismar, Wismar Business School.
    • Handle: RePEc:zbw:hswwdp:012015
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    References listed on IDEAS

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    1. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2003. "Do financial variables help forecasting inflation and real activity in the euro area?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1243-1255, September.
    2. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    3. Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: the Ifo Business Cycle Traffic Lights," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-13.
    4. Davidson, James, 2004. "Forecasting Markov-switching dynamic, conditionally heteroscedastic processes," Statistics & Probability Letters, Elsevier, vol. 68(2), pages 137-147, June.
    5. Colavecchio, Roberta & Amisano, Gianni & Fagan, Gabriel, 2014. "A money-based indicator for deflation risk," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100595, Verein für Socialpolitik / German Economic Association.
    6. Fredrik NG Andersson, 2011. "Monetary Policy, Asset Price Inflation and Consumer Price Inflation," Economics Bulletin, AccessEcon, vol. 31(1), pages 759-770.
    7. Charles Goodhart & Boris Hofmann, 2000. "Do Asset Prices Help to Predict Consumer Price Inflation?," Manchester School, University of Manchester, vol. 68(s1), pages 122-140.
    8. Sekine, Toshitaka, 2009. "Another look at global disinflation," Journal of the Japanese and International Economies, Elsevier, vol. 23(2), pages 220-239, June.
    9. Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    10. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    11. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    12. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    13. Daniel R. Smith, 2008. "Evaluating Specification Tests for Markov‐Switching Time‐Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 629-652, July.
    14. repec:bla:manchs:v:68:y:2000:i:0:p:122-40 is not listed on IDEAS
    15. Katrin Assenmacher-Wesche & Stefan Gerlach, 2008. "Monetary policy, asset prices and macroeconomic conditions : a panel-VAR study," Working Paper Research 149, National Bank of Belgium.
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    Cited by:

    1. Karolina Tura-Gawron & Maria Siranova & Karol Fisikowski, 2018. "ARE CONSUMER INFLATION EXPECTATIONS AN INTERNATIONAL PHENOMENON? Results of spatial panel regressions models," GUT FME Working Paper Series A 50, Faculty of Management and Economics, Gdansk University of Technology.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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