• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2021, Volume: 14, Issue: 3, Pages: 251-258

Original Article

Estimation and forecasting of the inflation, interest,literacy and unemployment rate of Pakistan using nonlinear regression models

Received Date:10 October 2020, Accepted Date:12 January 2021, Published Date:01 February 2021


Background/Objectives: To analyze and investigate the relationships for the inflation rate, interest rate, literacy rate and unemployment rate of Pakistan with a high level of accuracy. Methods/Statistical analysis: Method of nonlinear least squares have been adopted to fit the nonlinear regression models to estimate the present and future trends for the inflation rate, interest rate, literacy rate and unemployment rate of Pakistan based on the data from the year 2000 to 2019. Various nonlinear regression models were tested by changing their degree and number of coefficients. For each trial, the goodness of fit was set at a 95% confidence level. The best regression models were selected on basis of goodness of fit, the correlation with the present data and the logical trend of future forecasts. Findings: The proposed nonlinear regression models are quite different from the conventional linear and nonlinear polynomial regression models. The fitted and forecasting graphs show very realistic results that can be used by policymakers with good accuracy. Novelty/Applications: Since the periodic abrupt changes in the quantitative response variables like inflation rate, interest rate, literacy rate and the unemployment rate of Pakistan have been smoothly incorporated; therefore, the government or other socio-economic practitioners may use the results for future planning and management of the resources depending upon these factors.

Keywords: Inflation rate; literacy rate; interest rate; unemployment rate; nonlinear regression; forecasting


  1. Khan REA, Gill AR. Determinants of Inflation: A Case of Pakistan (1970-2007) Journal of Economics. 2010;1(1):45–51. Available from: https://doi.org/10.1080/09765239.2010.11884923
  2. Mahmood Y, Bokhari R, MA, M. Trade-Off between Inflation, Interest and Unemployment Rate of Pakistan: A Cointegration Analysis. Pakistan Journal of Commerce and Social Sciences. 2013;7(3):482–492. Available from: http://www.jespk.net/publications/140.pdf
  3. Dua P, Raje N, Sahoo S. Forecasting Interest Rates in India. Margin: The Journal of Applied Economic Research. 2008;2(1):1–41. Available from: https://dx.doi.org/10.1177/097380100700200101
  4. Singh R. Female literacy and economic development in India. Rupkatha Journal on Interdisciplinary Studies in Humanities. 2016;8(2):64–70. Available from: http://dx.doi.org/10.21659/rupkatha.v8n2.07
  5. USMAN SA. Unemployment and poverty as sources and consequence of insecurity in Nigeria: The Boko Haram insurgency revisited. African Journal of Political Science and International Relations. 2015;9(3):90–99. Available from: https://dx.doi.org/10.5897/ajpsir2014.0719
  6. Ilyas M, Khan MA. Democracy versus Dictatorship: An Empirical Investigation of Determinants of Unemployment. Pakistan Business Review. 2019;20(3):525–534. Available from: http://dx.doi.org/10.22555/pbr.v20i3.631
  7. Maqbool MS, Sattar TMA, Bhalli MN. Determinants of Unemployment: Empirical Evidences from Pakistan. Pakistan Economic and Social Review. 2013;51(2):191–207. Available from: https://www.jstor.org/stable/24398836
  8. A, KA. Factors Effecting Unemployment: A Cross Country. International Journal of Academic Research in Business and Social Sciences. 2013;3(1):219–230. Available from: https://doi.org/10.1111/1467-8268.12250
  9. Khan REA, Gill AR. Determinants of Inflation: A case of Pakistan (1970-2007) Journal of Economics. 2010;1(1):45–51. Available from: https://doi.org/10.1080/09765239.2010.11884923
  10. Aqil M, Qureshi MA, Ahmed RR, Qadeer S. Determinants of Unemployment in Pakistan. International Journal of Physical and Social Sciences. 2014;4(4):676–682. Available from: https://www.researchgate.net/publication/261285461_Determinants_of_Unemployment_in_Pakistan
  11. Meo MS, Kumar B, Chughtai S, Khan VJ, Dost MKB, Nisar QA. Impact of Unemployment and Governance on Poverty in Pakistan: a Fresh Insight from Non-linear ARDL Co-integration Approach. Global Business Review. 2020. Available from: https://dx.doi.org/10.1177/0972150920920440
  12. Dennis JE, Welsch RE. Techniques for nonlinear least squares and robust regression. Communications in Statistics - Simulation and Computation. 1978;7(4):345–359. Available from: https://dx.doi.org/10.1080/03610917808812083
  13. Björck Å. Numerical methods in matrix computations . (Vol. 59) Springer. 2015.
  14. Kemmer G, Keller S. Nonlinear least-squares data fitting in Excel spreadsheets. Nature Protocols. 2010;5(2):267–281. Available from: https://dx.doi.org/10.1038/nprot.2009.182


© 2021 Ghoto et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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