Welcome to the `Predict the Goose‘ forecasting competition taking place as part of ECON 547 Time Series Econometrics at UVic.
Predict the daily number of cyclists passing by the Galloping Goose Counter. Anyone is encouraged to enter the competition and submit a forecast!
Using the data provided here (download), create forecasts of daily cyclists counts. The data ends on Oct 27th, 2018. The period to be forecast (and which will be scored) is: 16 days from Nov 10th to Nov 25th 2018 (inclusive).
Point forecasts of the number of cyclists should be submitted as a csv file, with the first column denoting the day (in format: dd/mm/yyyy), and the second column denoting the predicted number of cyclists as shown in the Table below:
The csv file should be emailed to: firstname.lastname@example.org by November 9th, 4pm to be entered into the competition. Any form of prediction is allowed (empirical modelling using outside information, guessing, or even crystal balls). Just don’t go cycling by the counter to manipulate the numbers!
Forecasts will be scored using the root mean square error of the submitted point forecasts (density forecasts may be considered in future iterations of the competition). Results will be made available and prizes will be awarded end of November.