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Linking Individual and Aggregate Price Changes Author info | Abstract | Publisher info | Download info | Related research | Statistics Attila Rátfai () (Central European University, Budapest)
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Standard macroeconomic forecasting indicators and techniques perform poorly in predicting inflation in the short-run. In contrast, the present paper shows that microeconomic price data placed in an empirical framework rooted in (S,s) pricing theory convey extra information on inflation dynamics. The latent variable model designed to capture the gap between the target and the actual price is applied to a unique, highly disaggregated panel data set of consumer prices. Fluctuations in the shape of the cross-sectional density of price deviations contribute to short-run in-sample inflation. Asymmetry in the density particularly matters.
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Paper provided by International Conferences on Panel Data in its series 10th International Conference on Panel Data, Berlin, July 5-6, 2002 with number
B4-2.
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Date of creation: Mar 2002Date of revision:
Handle: RePEc:cpd:pd2002:b4-2Contact details of provider:
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Keywords: Simulated Maximum Likelihood estimation ; panel data ; inflation dynamics ; (S ; s) pricing ; Other versions of this item:
This paper has been announced in the following NEP Reports :
Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)Fougère, Denis & Gautier, Erwan & Le Bihan, Hervé, 2009.
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"Restaurant Prices and the Minimum Wage ,"
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Jerzy D. Konieczny, 2006.
"Discussion of: Lumpy Price Adjustments: A Microeconometric Analysis ,"
Working Papers
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Gautier, E., 2008.
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Emmanuel Dhyne, 2009.
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Babecký, Jan & Coricelli, Fabrizio & Horváth, Roman, 2009.
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Jan Babecky & Fabrizio Coricelli & Roman Horvath, 2008.
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Charles University Prague, Faculty of Social Sciences, vol. 59(2), pages 102-127, June.
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