FcstData: Australian aviation freight forecasting data set

In mitcda/predict.utils: R iterative prediction utility functions

Description

A dataset containing Australian aviation freight model dependent and independent variable forecast data. Key variables include:

date

quarterly

Freight.TKM

Quarterly Australian air freight tonne kilometres

Aircraft.Departures

Australian air freight tonne kilometres

A2304113C

Quarterly Australian Gross National Expenditure (GNE), chain volume measures: seasonally adjusted

A2304402X

Quarterly Australian Gross Domestic Product (GDP), chain volume measures: seasonally adjusted

dQx

Quarterly dummy variables

dPilot.QtrYY

Australian pilot dispute dummy variables

Usage

FcstData

Format

A data frame with 282 rows and 49 variables, comprising actual observations from first quarter 1985 to first quarter 2017 and independent variable forecasts from first quarter 2017 to second quarter 2055.

Source

Australian aviation statistics https://bitre.gov.au/publications/ongoing/domestic_airline_activity-time_series.aspx and Australian national accounts http://www.abs.gov.au/ausstats/abs@.nsf/mf/5206.0.

mitcda/predict.utils documentation built on May 15, 2019, 4:27 p.m.