Lahiri, Kajal and Yao, Wenxiong (2004): A dynamic factor model of the coincident indicators for the US transportation sector. Published in: Applied Economics Letters , Vol. 11, No. 10 (2004): pp. 595-600.
Preview |
PDF
MPRA_paper_22360.pdf Download (166kB) | Preview |
Abstract
This paper studies the business cycle features of the transportation sector using dynamic factor models. The transportation reference cycles peak ahead of the economic cycles, but lag by a few months at troughs. The asymmetric relationship between these two suggests the usefulness of transportation in monitoring business cycles.
Item Type: | MPRA Paper |
---|---|
Original Title: | A dynamic factor model of the coincident indicators for the US transportation sector |
Language: | English |
Keywords: | dynamic factor model; coincident indicator; transportation sector |
Subjects: | E - Macroeconomics and Monetary Economics > E0 - General > E00 - General |
Item ID: | 22360 |
Depositing User: | Kajal Lahiri |
Date Deposited: | 29 Apr 2010 00:18 |
Last Modified: | 04 Oct 2019 03:10 |
References: | Bosworth, B. (2001) Output and Productivity in the Transportation Sector: An Overview, paper presented at ‘Workshop on Transportation Output and Productivity,’ The Brookings Institution. Bry, G. and Boschan, C. (1971) Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, NBER Technical Paper 20.Conference Board (2001) Calculating the Composite Indexes, www.conference-board.org, revised 01/01. Feenberg, D. and Miron, J. (1997) Improving the accessibility of the NBER’s Historical Data, Journal of Business and Economic Statistics, Vol. 15(3), July, 293-299. Ghosh, A.R. and Wolf, H.C. (1997) Geographical and Sectoral Shocks in the U.S. Business Cycle, NBER Working Paper # 6180, September. Gordon, R.J. (1992) Productivity in the Transportation Sector, in Griliches, Z. (ed.), Output Measurement in the Service Sectors, Chicago: University of Chicago Press, 371-428. Hamilton, J.D. (1989) A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle, Econometrica, Vol. 57, 357-384. Harding, D. and Pagan, A. (2002) Dissecting the Cycle: a Methodological Investigation, Journal of Monetary Economics, Vol. 49, 365-381. Humphreys, B.R, Maccini, L.J., and Schuh, S. (2001) Input and Output Inventories, Journal of Monetary Economics, Vol. 47, 347-374. Kim, C.J. and Nelson, C.R. (1998) Business Cycle Turning Points, A New Coincident Index, and Tests of Duration Dependence Based on A Dynamic Factor Model with Regime Switching, The Review of Economics and Statistics, Vol. 80(2), 188-201. Lahiri, K., Stekler, H.O., Yao, W. and Young, P. (2003) Monthly Output Index for the US Transportation Sector, Journal of Transportation and Statistics, Vol. 6(2/3), 1-37. Lahiri, K. and Yao W. (2004) The Predictive Power of an Experimental Transportation Output Index. Applied Economics Letters, Vol. 11(3), 149-152. Layton, A. and Moore, G.H. (1989) Leading Indicators for the Service Sector, Journal of Business and Economic Statistics, Vol. 7(3), 379-386. Mitchell, W.C. and Burns, A.F. (1938) Statistical Indicators of Cyclical Revivals, reprinted in Moore, G.H. (ed.) Business Cycle Indicators, Volume I. Princeton, New Jersey: Princeton University Press for NBER, 1961, 162-183. Moore, G.H. (1961) Business Cycle Indicators, Volume I. Princeton, New Jersey: Princeton University Press for NBER. Stock, J.H. and Waston, M.W. (1991) A Probability Model of the Coincident Economic Indicators, in Lahiri, K. and Moore, G.H. (eds), Leading Economic Indicators: New Approaches and Forecasting Records, (Cambridge University Press, Cambridge), 63-89. Zarnowitz, V. (1992) Business Cycles: Theory, History, Indicators, and Forecasting, The University of Chicago Press. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/22360 |