On MAPE-R as a measure of cross-sectional estimation and forecast accuracy

By Charles David Coleman, D. Swanson. 2007

39 citations recorded by the source corpus.

Subfields: Demography, 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 Demography

1. Evangelos Spiliotis
2. Konstantinos Nikolopoulos
3. David A. Swanson
4. J. Tayman
5. Vassilios Assimakopoulos
6. T. Bryan

In Economics and Econometrics

1. Konstantinos Nikolopoulos
2. Evangelos Spiliotis
3. Vassilios Assimakopoulos
4. David A. Swanson
5. J. Tayman
6. T. Bryan
7. Fotios Petropoulos
8. Rob J Hyndman

In Management Science and Operations Research

1. Evangelos Spiliotis
2. Konstantinos Nikolopoulos
3. Vassilios Assimakopoulos
4. David A. Swanson
5. J. Tayman
6. T. Bryan
7. Fotios Petropoulos
8. Spyros Makridakis

Citations in the corpus

• MAPE-R: a rescaled measure of accuracy for cross-sectional subnational population forecasts (2011, methodology): “The rescaled version, MAPE-R, was introduced by Tayman et al. (1999), given a limited empirical test by Swanson et al. (2000), and conceptually and computationally refined by Coleman and Swanson (2007).”
• Tales from tails: On the empirical distributions of forecasting errors and their implication to risk (2019, methodology): “Generated errors are usually non-normally distributed and asymmetric, meaning that the performance of a method might significantly vary among a dataset depending on the time series being extrapolated or even the metric used (Coleman & Swanson, 2007).”