IDEAS home Printed from https://ideas.repec.org/p/hir/idecdp/4-9.html
   My bibliography  Save this paper

Note on Data Cleaning and Panel Data Development of Indonesian Manufacturing Survey Data

Author

Listed:
  • Erik Armundito

    (Graduate School for International Development and Cooperation, Hiroshima University)

  • Shinji Kaneko

    (Graduate School for International Development and Cooperation, Hiroshima University)

Abstract

When the manufacturing sector plays a significant role in economic development, the demand for statistical data can only increase. Manufacturing data obtained from the annual Indonesian manufacturing survey from 1990 to 2010 cannot be used directly for analysis purposes due to data quality problems. This paper attempts to clean and balance the raw data by proposing several consecutive steps including the statistical modeling and coefficient of variant approaches. The results show that observations for 1,556 firms and 828 firms are obtained each year for the first period panel data and second period panel data, respectively; however, the results should be representative of the entire manufacturing sector in terms of the number of firms and sub-sectors. Furthermore, comparisons with existing data references are needed to verify the results.

Suggested Citation

  • Erik Armundito & Shinji Kaneko, 2014. "Note on Data Cleaning and Panel Data Development of Indonesian Manufacturing Survey Data," IDEC DP2 Series 4-9, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    • Handle: RePEc:hir:idecdp:4-9
    as

    Download full text from publisher

    File URL: http://ir.lib.hiroshima-u.ac.jp/files/public/36954/20150414094624943082/IDEC-DP2_04-9.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Erik Armundito & Shinji Kaneko, 2015. "Baseline analysis of productivity changes with and without considering carbon dioxide emissions in the major manufacturing sector of Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-24, December.

    More about this item

    Keywords

    data cleaning; panel data; Indonesian manufacturing data;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic 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:hir:idecdp:4-9. 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: Keisuke Kawata (email available below). General contact details of provider: https://edirc.repec.org/data/gshirjp.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.