Econometric Fits of a Linear-Integral-Equation VEC Model to Produce Short-Term Postal Forecasts

Margaret M. Cigno, Katalin K. Clendenin, Soiliou D. Namoro and Edward S. Pearsall
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Margaret M. Cigno: U.S. Postal Regulatory Commission
Katalin K. Clendenin: U.S. Postal Regulatory Commission
Soiliou D. Namoro: U.S. Postal Regulatory Commission
Edward S. Pearsall: Occasional consultant to the PRC

A chapter in Service Challenges, Business Opportunities, and Regulatory Responses in the Postal Sector, 2024, pp 129-143 from Springer

Abstract: Abstract The chapter illustrates how linear integral equations may be specified and econometrically fit to time series to improve predictions of postal variables over a fixed forecasting horizon. The method is demonstrated by fitting a version of the Vector Error Correction model to produce continuous forecasts of US commercial mail volumes over a 1-year horizon.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:topchp:978-3-031-65599-9_9

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DOI: 10.1007/978-3-031-65599-9_9

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