Ivan, Kitov (2006): Exact prediction of inflation in the USA.
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A linear and lagged relationship between inflation and labor force growth rate has been recently found for the USA. It accurately describes the period after the late 1950s with linear coefficient 4.0, intercept -0.03, and the lag of 2 years. The previously reported agreement between observed and predicted inflation is substantially improved by some simple measures removing the most obvious errors in the labor force time series. The labor force readings originally obtained from the Bureau of Labor Statistics (BLS) website are corrected for step-like adjustments. Additionally, a half-year time shift between the inflation and the annual labor force readings is compensated. GDP deflator represents the inflation. Linear regression analysis demonstrates that the annual labor force growth rate used as a predictor explains almost 82% (R2=0.82) of the inflation variations between 1965 and 2002. Moving average technique applied to the annual time series results in a substantial increase in R2. It grows from 0.87 for two-year wide windows to 0.96 for four-year windows. Regression of cumulative curves is characterized by R2>0.999. This allows effective replacement of GDP deflation index by a “labor force growth” index. The linear and lagged relationship provides a precise forecast at the two-year horizon with root mean square forecasting error (RMSFE) as low as 0.008 (0.8%) for the entire period between 1965 and 2002. For the last 20 years, RMSFE is only 0.4%. Thus, the forecast methodology effectively outperforms any other forecasting technique reported in economic and financial literature. Moreover, further significant improvements in the forecasting accuracy are accessible through improvements in the labor force measurements in line with the US Census Bureau population estimates, which are neglected by BLS.
|Item Type:||MPRA Paper|
|Original Title:||Exact prediction of inflation in the USA|
|Keywords:||inflation; labor force; forecast; the USA|
|Subjects:||E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, Macroeconomic Policy, and General Outlook > E61 - Policy Objectives; Policy Designs and Consistency; Policy Coordination
E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level; Inflation; Deflation
J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J21 - Labor Force and Employment, Size, and Structure
|Depositing User:||Ivan Kitov|
|Date Deposited:||15. Apr 2007|
|Last Modified:||14. Feb 2013 20:55|
Ang, A., Bakaert, G. and M. Wei, (2006). “ Do macro variables, asset markets, or surveys forecast inflation better?”, FRB Working Paper ? Atkeson, A., Ohanian, L.E., (2001). “Are Phillips curves useful for forecasting inflation?”, Federal Reserve Bank of Minneapolis Quarterly Review 25, 2-11. Bureau of Labor Statistics, (2003). “Revisions in the CPS effective January 2003”, http://www.bls.gov/cps/rvcps03.pdf Bureau of Labor Statistics, (2005). “Labor force projections to 2014: retiring boomers”, Monthly Labor Review, November 2005. Bureau of Labor Statistics, (2006). “Employment and Earnings. Household data”, http://www.bls.gov/cps/eetech_methods.pdf Canova, F., (2002). “G-7 inflation forecast”, EBC Working Paper No 151. Congressional Budget Office, (2004). “CBO’s Projections of the labor force”, September 2004. Census Bureau, (2002a). “ Methodology: national intercensal population estimates", http://www.census.gov/popest/archives/methodology/intercensal_nat_ meth.pdf Census Bureau, (2002b). “The Current Population Survey: Design and Methodology”, Technical paper 63RV, Washington, U.S. Census Bureaus and Bureau of Labor statistics, March 2002. http://www.census.gov/prod/2002pubs/tp63rv.pdf Gali, J., Gertler, M., Lopez-Salido, D., (2001). “European Inflation Dynamics”, European Economic Review 45(7), 1237-1270. Hubrich, K., (2003). “Forecasting euro area inflation: Does aggregating forecasts by HICP component improve forecast accuracy?”, ECB Working Paper No 247. Kitov, I., (2005a). "A model for microeconomic and macroeconomic development," Working Papers 05, ECINEQ, Society for the Study of Economic Inequality. Kitov, I., (2005b). "Modelling the overall personal income distribution in the USA from 1994 to 2002," Working Papers 07, ECINEQ, Society for the Study of Economic Inequality. Kitov, I., (2006a). "Inflation, Unemployment, Labor Force Change in the USA". Working Papers 28, ECINEQ, Society for the Study of Economic Inequality. Kitov, I., (2006b). "The Japanese economy". Available at SSRN: http://ssrn.com/abstract=886663. Kitov, I., (2006c). "GDP growth rate and population". Working Papers 42, ECINEQ, Society for the Study of Economic Inequality. Kitov, Ivan, (2006d)." Inflation, Unemployment, Labor Force Change in European countries". (in preparation) Mankiw, N.G., (2005). “The macroeconomist as scientist and engineer”, manuscript, Harvard University, http://post.economics.harvard.edu/faculty/mankiw/papers/Macroeconomist_as_Scientist.pdf Rudd, J., Whelan, K., (2005). “New tests of the New Keynesian Phillips Curve. Journal of Monetary Economics”, forthcoming. Sbordone, A. (2002). “Prices and Unit Labor Cost: a New Test of Price Stickiness”. Journal of Monetary Economics 49(2), 265-292. Stock, J.H., Watson, M.W., (1999). "Forecasting inflation," Journal of Monetary Economics 44, 293-335. Stock, J.H., Watson, M.W., (2005). “Has inflation become harder to forecast?”, manuscript, Harvard University, http://ksghome.harvard.edu/~JStock/pdf/qepd_sw_jmcb_submission_1.pdf