Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures

By Robert Fildes, Yingqi Wei, Suzilah Ismail. 2011

90 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Economics and Econometrics, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Kwok Leung Tsui
2. Yunjie Wei
3. Shouyang Wang
4. Xianduan Yang
5. Shaolong Sun

In Management Science and Operations Research

1. Kwok Leung Tsui
2. Shouyang Wang

Citations in the corpus

• Simple versus complex forecasting: The evidence (2015, unknown): “Compared to the average complex econometric forecast, exponential smoothing forecasts reduced error across all horizons and overall by 10.8 percent on the basis of geometric RAE (from Fildes, Wei, and Ismail, 2011, Table 6).”
• Forecasting tourist arrivals with machine learning and internet search index (2017, methodology): “Exponential smoothing (ES) has been widely used in tourism forecasting and many scholars use the model as a benchmark (Fildes et al., 2011; Park, Rilett, & Han, 1999; Witt & Witt, 1995).”