IDEAS home Printed from https://ideas.repec.org/p/msh/ebswps/2017-1.html
   My bibliography  Save this paper

The Australian Macro Database: An online resource for macroeconomic research in Australia

Author

Listed:
  • Timur Behlul
  • Anastasios Panagiotelis
  • George Athanasopoulos
  • Rob J Hyndman
  • Farshid Vahid

Abstract

A website that encourages and facilities the use of quantitative, publicly available Australian macroeconomic data is introduced. The Australian Macro Database hosted at ausmacrodata.org provides a user friendly front end for searching among over 40000 economic variables, sourced from the Australian Bureau of Statistics and the Reserve Bank of Australia. The search box, tags and categories used to facilitate data retrieval, are described in detail. Known issues with the website and future plans are discussed in the conclusion.

Suggested Citation

  • Timur Behlul & Anastasios Panagiotelis & George Athanasopoulos & Rob J Hyndman & Farshid Vahid, 2017. "The Australian Macro Database: An online resource for macroeconomic research in Australia," Monash Econometrics and Business Statistics Working Papers 1/17, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:2017-1
    as

    Download full text from publisher

    File URL: http://business.monash.edu/econometrics-and-business-statistics/research/publications/ebs/wp01-17.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Panagiotelis, Anastasios & Athanasopoulos, George & Hyndman, Rob J. & Jiang, Bin & Vahid, Farshid, 2019. "Macroeconomic forecasting for Australia using a large number of predictors," International Journal of Forecasting, Elsevier, vol. 35(2), pages 616-633.

    More about this item

    Keywords

    Economic time series; macroeconomic data; Australian Bureau of Statistics; Reserve Bank of Australia; FRED.;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:msh:ebswps:2017-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Professor Xibin Zhang (email available below). General contact details of provider: https://edirc.repec.org/data/dxmonau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.