IDEAS home Printed from https://ideas.repec.org/a/vrs/crebss/v4y2018i2p23-34n4.html
   My bibliography  Save this article

The short-term turnover estimates in Bosnia and Herzegovina based on the VAT data

Author

Listed:
  • Kanlić Fahir

    (Department for Industry and Construction Statistics, Agency for statistics of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina)

  • Abdić Ademir

    (Department for Quantitative Methods, School of Economics and Business in Sarajevo, Sarajevo, Bosnia and Herzegovina)

Abstract

National Statistical Institutes (NSIs) strive to produce short-term business statistics (STS) indicators with the high quality estimates in a timely manner. NSIs are usually faced with the challenges, such as differences in definitions, incompleteness of administrative data, periodicity and timeliness, coverage issues, etc. Administrative Value Added Tax (VAT) turnover data can be used to partially or completely replace survey data for the estimation of short-term business turnover indicators. In this paper, main characteristics of administrative VAT turnover data in Bosnia and Herzegovina will be examined through cleaning of VAT turnover data and matching them with survey data. Hence, the main objective of this study is to investigate the relationship between VAT turnover data and survey data in in Bosnia and Herzegovina. The Monthly Retail Trade Turnover Indices (RTI) for in Bosnia and Herzegovina will be estimated by using administrative VAT turnover data. Spearman’s correlation coefficients are used to examine the presence of a linear relationship between VAT turnover data and survey data. Results gained by using survey and administrative VAT turnover data will be compared. Based on the results of the analysis, future challenges and perspectives for expansion of using administrative VAT turnover data will be identified.

Suggested Citation

  • Kanlić Fahir & Abdić Ademir, 2018. "The short-term turnover estimates in Bosnia and Herzegovina based on the VAT data," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 4(2), pages 23-34, November.
  • Handle: RePEc:vrs:crebss:v:4:y:2018:i:2:p:23-34:n:4
    DOI: 10.2478/crebss-2018-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/crebss-2018-0010
    Download Restriction: no

    File URL: https://libkey.io/10.2478/crebss-2018-0010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    administrative data; business statistics; estimation methods; Value Added Tax (VAT);
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General

    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:vrs:crebss:v:4:y:2018:i:2:p:23-34:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.