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Inflation as a Function of Labor Force Change Rate: Cointegration Test for the USA


Ivan Kitov


Russian Academy of Sciences (RAS) - Institute for the Geospheres Dynamics

Oleg Kitov


University of Warwick

Svetlana Dolinskaya


Russian Academy of Sciences (RAS) - Institute for the Geospheres Dynamics

January 8, 2007


Abstract:     
Previously, a linear and lagged relationship between inflation and labor force change rate, π(t)= A1dLF(t-t1)/LF(t-t1)+A2 (where A1 and A2 are empirical country-specific coefficients), was found for developed economies. The relationship obtained for the USA is characterized by A1=4.0, A2=-0.03075, and t1=2 years. It provides a root mean square forecasting error (RMFSE) of 0.8% at a two-year horizon for the period between 1965 and 2002 (the best among other inflation forecasting models) and has a perfect parsimony - only one predictor.

The relationship is tested for cointegration. Both variables are integrated of order one according to the presence of a unit root in the series and its absence in their first differences. Two methods of cointegration testing are applied - the Engle-Granger one based on the unit root test of the residuals including a variety of specification tests and the Johansen cointegration rank test based on the VAR representation. Both approaches demonstrate that the variables are cointegrated and the long-run equilibrium relation revealed in previous study holds. According to the Granger causality test, the labor force change is proved to be a weakly exogenous variable - a natural result considering the time lead and the existence of a cointegrating relation. VAR and VECM representations do not provide any significant improvement in RMSFE.

There are numerous applications of the equation: from purely theoretical - a robust fundamental relation between macroeconomic and population variables, to a practical one - an accurate out-of-sample inflation forecasting at a two-year horizon and a long-term prediction based on labor force projections. The predictive power of the relationship is inversely proportional to the uncertainty of labor force estimates. Therefore, future inflation research programs should start from a significant improvement in the accuracy of labor force estimations.

Number of Pages in PDF File: 41

Keywords: cointegration, inflation, labor force, forecasting, USA, VAR, VECM

JEL Classification: C32, E3, E6, J21

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Date posted: January 9, 2007  

Suggested Citation

Kitov, Ivan, Kitov, Oleg and Dolinskaya, Svetlana, Inflation as a Function of Labor Force Change Rate: Cointegration Test for the USA (January 8, 2007). Available at SSRN: http://ssrn.com/abstract=956014 or http://dx.doi.org/10.2139/ssrn.956014

Contact Information

Ivan Kitov (Contact Author)
Russian Academy of Sciences (RAS) - Institute for the Geospheres Dynamics ( email )
Leninsky prospect 38/1
Moscow, 119334
Russia
HOME PAGE: http://idg.chph.ras.ru
Oleg Kitov
University of Warwick ( email )
Gibbet Hill Rd.
Coventry, West Midlands CV4 8UW
United Kingdom
Svetlana Dolinskaya
Russian Academy of Sciences (RAS) - Institute for the Geospheres Dynamics ( email )
Leninsky prospect 38/1
Moscow, 119334
Russia
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