Investigation of the Relationship between the Unemployment Rate and the Inflation Rate of Pakistan

Document Type : Research Paper


1 Department of Mathematics and Statistics, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

2 Department of Mathematics and Statistics, Institute of Business Management, Karachi, Pakistan



Unemployment is one of the most challenging problems faced by governments, particularly in developing countries. Due to the rapid increase in the population of Pakistan and less number of job opportunities the government needs to properly forecast the unemployment rate to make future policies. This paper aims to model statistical relationships between the unemployment rate and the inflation rate for the determination of any feasible trend of unemployment in the country. About twenty different interrelationships between unemployment and inflation have been investigated by using the curve fitting approach and their goodness of fit was analyzed. The unemployment trend of Pakistan depending only on inflation does not appear homogeneous; as there is an unexpected increase or decrease. The scattered nature of the data shows that there is a negative correlation between the unemployment rate and the inflation rate of Pakistan. However, the Fourier model with three terms, the Gaussian model with two terms, and the sum of the sine model with four terms appear to fit the data moderately.


Main Subjects

Mahmood, Y., Bokhari, R., & Aslam, M. (2013). Trade-Off between Inflation, Interest and Unemployment Rate of Pakistan: A Cointegration Analysis. Pakistan Journal of Commerce and Social Sciences, 7(3), 482-492.
Ghoto, A. A., Talpur, G. H. M., & Kamboh, S. A. (2021). Estimation and forecasting of the Inflation, Interest, Literacy and Unemployment Rate of Pakistan Using Nonlinear Regression Models. Indian Journal of Science and Technology, 14(3), 251-258.
Arshad, S., & Ali, A. (2016). Trade-off between Inflation, Interest and Unemployment Rate of Pakistan Revisited. Bulletin of Business and Economics, 5(4), 193-209.
Pakistan Bureau of Statistics (PBS). (2020).  Retrieved from
International Labor Organization (ILO). (2020). Retrieved from
Official Gateway to Gouvernement of Pakistan. (2020). Retrieved from
The State Bank of Pakistan (SBP). (2020). Retrieved from
Ziang, L., Xu, W., & Zhang, L. (2014). An Ontology - based Web Mining Method for Unemployment Rate Prediction. Decision Support Systems, 66(2014), 114–122.
Kooros, S. K., & Biberman, A. A. (2010). The Theory of Unemployment Reassert Year Book. New York: University Press.
Phillips, A. W. (1967). The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861-1957. Journal of Economica New Series, 25(1958), 283-299.
Aladkhani, A. V. (2003). The Causes of Unemployment in Iran. International Journal of Applied Business and Economic Research, 1, 21-33.
Qayyum, W. (2007). Causes of Youth Unemployment in Pakistan. The Pakistan Development Review, 46, 611-621.
Subhan, Q. A., & Hayat, M. A. (2010). Impact of Price Instability on Unemployment and Economic Growth in Pakistan. An Econometric Approach. 8th International Conference, Retrieved from
Rafiq, M., Ahmad, I. A., & Khan, Z. (2008). Determinants of Unemployment. A Case Study of Pakistan Economy (1998-2008). Abasyn Journal of Social Sciences, 3(1), 1-20.
Hussain, T., Siddiqi, M. W., & Iqbal A. (2010). A Coherent Relationship between Economic Growth and Unemployment: An Empirical Evidence from Pakistan. International Journal of Human and Social Sciences, 5(5), 1-15.
Aurangzeb, & Asif, K. (2013). Factors Effecting Unemployment: A Cross-Country. International Journal of Academic Research in Business and Social Sciences, 3(1), 219-230.
Khan, R. E. A., & Gill, A. R. (2010). Determinants of Inflation: A Case of Pakistan (1970-2007). Journal of Economics, 1(1), 45-51.
Ali, A., & Rehman, H. U. (2015). Macroeconomic Instability and Its Impact on Gross Domestic Product: An Empirical Analysis of Pakistan. Pakistan Economic and Social Review, 53(2), 285-316.
Maqbool, M. S., Sattar, T. M. A., & Bhalli, M. N. (2013). Determinants of Unemployment: Empirical Evidences from Pakistan. Pakistan Economic and Social Review, 51(2), 191-207.
McIntyre, S. H., Montgomery, D. B., Srinivasan, V., & Weitz, B. A. (1981). The Statistical Significance of Stepwise Regression Models Developed by Forward Selection: A Monte Carlo Calibration. Journal of Marketing Research, 20(1), 1-11.
Phelps, E. (1995). The Structuralism Theory of Unemployment. American Economic Review, 85(2), 22-26.
Tintner, G. (1965). Econometrics. New York: Wiley
Rivera-Batiz, F. L. (1992). Quantitative Literacy and the Likelihood of Employment among Young Adults in the United States. The Journal of Human Resources, 27(2), 313-328.
Rosholm, M. (2001a). Cyclical Variations in Unemployment Duration. Journal of Population Economics, 14, 173-191.
---------- (2001b). An Empirical Analysis of the Processes of Exclusion and Inclusion. IZA Discussion Paper, 332, 1-20.
---------- (2000). An Empirical Study of the Duration and Duration Dependence of Unemployment. National Economic Journal, 138, 314-328 (In Danish).
Stiglitz, J. E. (1975). The Theory of Screening, Education and Income Distribution. The American Economic Review, 65, 283-300.
Streb, J. M. (2002). Job Market Signaling Under Two-dimensional Asymmetric Information. Retrieved from
Jensen, A. M., & Verner, M. (1996). The Importance of Social Assistance Benefits to the Extent of Unemployment in Denmark. National Economic Journal, 134, 238-256 (In Danish).
Kelley, C. T. (1999). Iterative Methods for Optimization. SIAM Frontiers in Applied Mathematics, 18, 1-20.
Strutz, T. (2016). Data Fitting and Uncertainty; A Practical Introduction to Weighted Least Squares and Beyond (2nd Ed.). Berlin: Springer.
Gavin, H. P. (2006). The Levenberg-Marquardt Method for Nonlinear Least Squares Curve-fitting Problems. Retrieved from
Dennis, J. E, & Welsch, R. E. (1978). Techniques for Nonlinear Least Squares and Robust Regression. Communications in Statistics Simulation and Computation, 7(4), 345–359.
Björck, Å. (2015). Numerical Methods in Matrix Computations. Berlin: Springer.
Kemmer, G., & Keller. S. (2010). Nonlinear Least-squares Data Fitting in Excel Spreadsheets. Nature Protocols, 5(2), 267–281.