IDEAS home Printed from https://ideas.repec.org/p/sbp/wpaper/98.html
   My bibliography  Save this paper

Nowcasting LSM Growth in Pakistan

Author

Listed:
  • Fida Hussain

    (State Bank of Pakistan)

  • Kalim Hayder

    (State Bank of Pakistan)

  • Muhammad Rehman

    (State Bank of Pakistan)

Abstract

This paper attempts to Nowcast Large-scale Manufacturing (LSM) growth in Pakistan, which is generally used as a potential proxy for economic activity in Pakistan. For this purpose, the dynamic factor and penalize regression models are used to extract the unique information set from a range of variables having close association with LSM. Given high seasonality induced volatility in LSM growth, we have also attempted to nowcast the trend and cycles separately. The estimation results show that the predicted LSM series is fairly tracking the actual LSM series. Penalize regression models perform remarkably well in tracing cycles in LSM growth. Whereas, dynamic factor model is more successful in tracing the underlying trend in LSM growth.

Suggested Citation

  • Fida Hussain & Kalim Hayder & Muhammad Rehman, 2018. "Nowcasting LSM Growth in Pakistan," SBP Working Paper Series 98, State Bank of Pakistan, Research Department.
  • Handle: RePEc:sbp:wpaper:98
    as

    Download full text from publisher

    File URL: http://www.sbp.org.pk/publications/wpapers/2018/wp98.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Muhammad Ejaz & Javed Iqbal, 2021. "Estimation and Forecasting of Industrial Production Index," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 26(1), pages 1-30, Jan-June.

    More about this item

    Keywords

    Nowcasting; Large-scale Manufacturing; Factor Model; Rigged Regressions;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    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:sbp:wpaper:98. 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: Faisal Saleem (email available below). General contact details of provider: https://edirc.repec.org/data/sbpgvpk.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.