Measuring changes in the value of the numeraire
AbstractThis paper estimates a common component in many price series that has an equiproportional effect on all prices. Changes in this component can be interpreted as changes in the value of the numeraire since, by definition, they leave all relative prices unchanged. The first aim of the paper is to measure these changes. The paper provides a framework for identifying this component, suggests an estimator for the component based on a dynamic factor model, and assesses its performance relative to alternative estimators. Using 187 U.S. time-series on prices, we estimate changes in the value of the numeraire from 1960 to 2006, and further decompose these changes into a part that is related to relative price movements and a residual ‘exogenous’ part. The second aim of the paper is to use these estimates to investigate two economic questions. First, we show that the size of exogenous changes in the value of the numeraire helps distinguish between different theories of pricing, and that the U.S. evidence argues against several strict theories of nominal rigidities. Second, we find that changes in the value of the numeraire are significantly related to changes in real quantities, and discuss interpretations of this apparent non-neutrality.
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Bibliographic InfoPaper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number 1364.
Length: 57 pages
Date of creation: Jun 2007
Date of revision:
Inflation; Money illusion; Monetary neutrality; Price index;
Other versions of this item:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-07-07 (All new papers)
- NEP-CBA-2007-07-07 (Central Banking)
- NEP-ECM-2007-07-07 (Econometrics)
- NEP-MAC-2007-07-07 (Macroeconomics)
- NEP-MON-2007-07-07 (Monetary Economics)
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- Mankiw, N. Gregory & Reis, Ricardo, 2003.
"What Measure of Inflation Should a Central Bank Target?,"
3415322, Harvard University Department of Economics.
- N. Gregory Mankiw & Ricardo Reis, 2003. "What Measure of Inflation Should a Central Bank Target?," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1058-1086, 09.
- Mankiw, N. Gregory & Reis, Ricardo, 2002. "What measure of inflation should a central bank target?," Working Paper Series 0170, European Central Bank.
- N. Gregory Mankiw & Ricardo Reis, 2002. "What Measure of Inflation Should a Central Bank Target?," NBER Working Papers 9375, National Bureau of Economic Research, Inc.
- N. Gregory Mankiw & Ricardo Reis, 2002. "What Measure of Inflation Should a Central Bank Target?," Harvard Institute of Economic Research Working Papers 1984, Harvard - Institute of Economic Research.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Tom Doan, . "BAING: RATS procedure to estimate factors in a factor model using Bai-Ng formulas," Statistical Software Components RTS00012, Boston College Department of Economics.
- Anonymous, 1994. "Monetary Policy Statement, December 1994," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 57, December.
- Carlos Carvalho, 2005. "Heterogeneity in Price Setting and the Real Effects of Monetary Shocks," Macroeconomics 0509017, EconWPA, revised 12 Sep 2005.
- Felipe Schwartzman & Carlos Carvalho, 2008. "Heterogeneous Price Setting Behavior and Monetary Non-neutrality: Some General Results," 2008 Meeting Papers 1040, Society for Economic Dynamics.
- Marlene Amstad & Simon Potter, 2009. "Real time underlying inflation gauges for monetary policymakers," Staff Reports 420, Federal Reserve Bank of New York.
- Michael F. Bryan & Stephen G. Cecchetti & Rodney L. Wiggins II, 1997.
"Efficient inflation estimation,"
9707, Federal Reserve Bank of Cleveland.
- Basu, Susanto & Fernald, John G., 2002.
"Aggregate productivity and aggregate technology,"
European Economic Review,
Elsevier, vol. 46(6), pages 963-991, June.
- Cristadoro, Riccardo & Forni, Mario & Reichlin, Lucrezia & Veronese, Giovanni, 2001.
"A Core Inflation Index for the Euro Area,"
CEPR Discussion Papers
3097, C.E.P.R. Discussion Papers.
- Fischer, Stanley, 1977. "Long-Term Contracts, Rational Expectations, and the Optimal Money Supply Rule," Journal of Political Economy, University of Chicago Press, vol. 85(1), pages 191-205, February.
- Yun, Tack, 1996. "Nominal price rigidity, money supply endogeneity, and business cycles," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 345-370, April.
- Mirko Wiederholt, 2010. "rational inattention," The New Palgrave Dictionary of Economics, Palgrave Macmillan.
- M.F. Bryan & S.G. Cecchetti & R. O'Sullivan, 2001.
"Asset Prices in the Measurement of Inflation,"
DNB Staff Reports (discontinued)
62, Netherlands Central Bank.
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000.
"The generalised dynamic factor model: identification and estimation,"
ULB Institutional Repository
2013/10143, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.
- Carvalho Carlos, 2006. "Heterogeneity in Price Stickiness and the Real Effects of Monetary Shocks," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-58, December.
- Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
- Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
- Dobrescu, Emilian, 2011.
"Sectoral Structure and Economic Growth,"
Working Papers of Macroeconomic Modelling Seminar
112401, Institute for Economic Forecasting.
- Mark A. Wynne, 2008. "How should central banks define price stability?," Globalization and Monetary Policy Institute Working Paper 08, Federal Reserve Bank of Dallas.
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