AGGREGATION AND ACCURACY IN MEASURING TOTAL FACTOR PRODUCTIVITY: EVIDENCE FROM RAIL PRODUCTIVITY STUDIES
This paper provides empirical evidence on the magnitude of errors in measuring total factor productivity which can be introduced by use of aggregate data. The empirical cases are for the rail industry, and use three separate data sets (U.S. railroad, Canadian railways, and CP Rail). For all three cases, the magnitude of bias resulting from use of aggregate output data (ton-miles) is provided, and for one case, data were available on the bias from using aggregate labor data. The results show that significant bias is present: from 0.7 percent to 1.4 percent per year for use of aggregate rail output data. All three cases result in an overstatement of output and hence productivity growth. For use of aggregate labor data, the bias was 0.2 percent, also resulting in an overstatement of true productivity growth, compounding the errors from output aggregation.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10461469
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Corporate Authors:
Transportation Research Forum
11250-8 Roger Bacon Drive, Suite 8
Reston, VA United States 20190 -
Authors:
- Tretheway, M W
- Waters, W G
- Publication Date: 1995
Language
- English
Media Info
- Pagination: p. 60-70
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Serial:
- Journal of the Transportation Research Forum
- Volume: 35
- Issue Number: 2
- Publisher: Transportation Research Forum
- ISSN: 1046-1469
- Serial URL: https://trforum.org/journal-of-the-trf/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Cluster analysis; Output; Productivity; Railroad transportation
- Identifier Terms: Canadian National; Canadian National Railways; Canadian Pacific
- Subject Areas: Administration and Management; Economics; Highways; Railroads; I10: Economics and Administration;
Filing Info
- Accession Number: 00719250
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 27 1996 12:00AM