IDEAS home Printed from https://ideas.repec.org/a/sae/soueco/v9y2008i1p195-209.html
   My bibliography  Save this article

Some Methodological Aspects of Rates of Growth Computations

Author

Listed:
  • Amarjit Singh Sethi

    (Amarjit Singh Sethi is Professor of Economics, Punjab School of Economics, Guru Nanak Dev University, Amritsar-143 005, India. Email: ajss_gndu@yahoo.com)

Abstract

Rates of growth in economic time series are one of the most commonly made computations in analytical programmes. Although exponential equation plays a pivotal role in estimating such rates of growth, there is a multiplicity of weak points associated with the usual methodology adopted for the purpose. The present note aims at highlighting some such limitations and points out avoidance of an indiscriminate use of the exponential equation. Depending upon the situation being faced with, the note outlines alternative approaches for estimating average annual rates of growth.

Suggested Citation

  • Amarjit Singh Sethi, 2008. "Some Methodological Aspects of Rates of Growth Computations," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 9(1), pages 195-209, June.
  • Handle: RePEc:sae:soueco:v:9:y:2008:i:1:p:195-209
    DOI: 10.1177/139156140700900109
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/139156140700900109
    Download Restriction: no

    File URL: https://libkey.io/10.1177/139156140700900109?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
    ---><---

    References listed on IDEAS

    as
    1. Rao, V. M., 1980. "Methodological Issues in Measuring Agricultural Growth: Lessons of Recent Indian Researches," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 35(2), April.
    2. H. A. Fell & C. C. Greenfield, 1983. "Measuring Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 29(2), pages 205-208, June.
    3. Sal Amirkhalkhali & Atul Dar, 2003. "On Explaining the Differences in Economic Growth Rates in OECD Countries," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 6(2), pages 147-159, Winter.
    4. Fell, H A & Greenfield, C C, 1983. "Measuring Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 29(2), pages 205-208, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Sethi, Amarjit Singh, 2016. "Sources of Growth in India: Evidence from Punjab and Haryana," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 15-34.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Magdalena Osińska & Tadeusz Kufel & Marcin Błażejowski & Paweł Kufel, 2020. "Modeling mechanism of economic growth using threshold autoregression models," Empirical Economics, Springer, vol. 58(3), pages 1381-1430, March.
    2. Thomas Demuynck & Dirk Van de gaer, 2012. "Inequality Adjusted Income Growth," Economica, London School of Economics and Political Science, vol. 79(316), pages 747-765, October.
    3. Sal AMIRKHALKHALI & Atul A. DAR, 2012. "On Explaining Inter-Country Differences in Economic Growth Rates of OECD countries for 1996-2008: Does Regulatory Quality Matter," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 12(2).

    More about this item

    Keywords

    JEL: C13; JEL: C22; JEL: H2; Exponential Equation; Compound Growth Rate; Dummy Variables Technique; Trend-stationarity; Behavioural Growth Paths; Confluence Analysis; Causality Analysis;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

    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:sae:soueco:v:9:y:2008:i:1:p:195-209. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: http://www.ips.lk/ .

    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.