A STATISTICAL ANALYSIS OF THE CANADIAN RAILWAY RATE STRUCTURE

Insight into changing structures of freight rates can be obtained by applying regression analysis to waybill data. Conclusions must be viewed within limitations of the data and of regression analysis. On the basis of the waybill data, it is concluded that only general trends and general orders of magnitude are represented in coefficients reported. Regression analysis measures statistical and not causal relationships. Even with these shortcomings, it is concluded that Canadian Railway pricing practices have been consistent nationwide in their response to cost levels and competitive forces. After the 1950's, the freight rate structure became more cost oriented. Statistical analysis of waybill data is a means of throwing light on policy issues.

• Supplemental Notes:
  • Presented at the Seventeenth Annual Meeting of the Transportation Research Forum, Beyond the Bicentennial: The Transportation Challenge, held in Boston, Massachusetts, October 28-30, 1976.
• Corporate Authors:

  Cross (Richard B) Company

  Oxford, Indiana,   United States  47971
• Authors:
  • Heaver, T D
  • Oum, T M
• Publication Date: 1976

Media Info

• Features: Appendices;
• Pagination: p. 570-578
• Serial:
  • Publication of: Cross (Richard B) Company

Subject/Index Terms

• TRT Terms: Analysis; Commodities; Competition; Costs; Policy; Rate making; Regression analysis; Statistical analysis; Statistics; Transportation modes; Waybill samples
• Uncontrolled Terms: Cost analysis
• Geographic Terms: Canada
• Old TRIS Terms: Commodity statistics; Government policies
• Subject Areas: Administration and Management; Data and Information Technology; Finance; Policy; Railroads;

Filing Info

• Accession Number: 00142948
• Record Type: Publication
• Report/Paper Numbers: Proceeding
• Files: TRIS
• Created Date: Dec 15 1976 12:00AM