Journal of Contemporary Issues in Business Research

ISSN 2305-8277
A Time Series Modeling on GDP of Pakistan
A Time Series Modeling on GDP of Pakistan
Maniha Zakai
Author Affiliations
  • University of Central Punjab

  • Abstract

    The gross domestic product (GDP), an essential gauge of an economy's economic presentation, is the market assessment of all final services and goods produced in the boundaries of a nation in a year. Within this paper, the features of annual data of Pakistan’s GDP acquired from International Monetary Fund (IMF) starting from 1953 to 2012 are studied. To model the GDP, a set of Autoregressive integrated Moving Average (ARIMA) models are constructed following Box-Jenkins technique. ARIMA (1,1,0) has been obtained through expert modeler method by considering best fit model. Finally, forecast values for a few coming year have been generated applying the best fitted ARIMA model. The finding shows that the forecast values of Pakistan’s GDP will be 23477Billion rupees in 2013 and 103918 billion rupees in 2025.

    Keywords
    ARIMA model; GDP; Pakistan; Time series modeling.

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    MLA
    Zakai, Maniha. " A Time Series Modeling on GDP of Pakistan." Journal of Contemporary Issues in Business Research 3.4 (2014): 200-210.
    APA
    Zakai, Maniha. " A Time Series Modeling on GDP of Pakistan." Journal of Contemporary Issues in Business Research 3, no. 4 (2014): 200-210.
    Chicago
    Jewell, J. (2014). Mothers’ Decisions on Workplace Reentry. Journal of Contemporary Issues in Business Research , 3 (3), 107-114. Zakai, M. (2014). A Time Series Modeling on GDP of Pakistan. Journal of Contemporary Issues in Business Research , 3(4), 200-210.
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    First published online before print: 2014
    Vol. 3, No. 4, 2014, pp. 200-210
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