Abstract:
This research is conducted to have close view of determinants of real exchange rate in he context of Pakistan. The idea was to identify the factors which have long term and sh^rt term impact on the real exchange rate. During the research, restless, unbiased and curious
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effort has been made to find the determinants of real exchange rate. The study offer^ a blend of pure logical and analytical approach to identify the variables having statistically significant effect on the real exchange rate which might be of some help in provid ng guidelines for the policy implications.
The research starts with the introduction followed by the theoretical and empirical review of literature which helped in identifying the variables that are then used in different combinations to discover the significant determinants of the real exchange rate with reference to Pakistan.
To find out the presence of long run association between the variables, Johansen Co integration analysis is used. Due to limited number of observations it was difficult to perform co integration for all the variables at the same time, so the data is divided i^tto different groups. The results of co integration decline the null hypothesis of nojco integration. Error correction model is used to explain not only the long run but also the short run association among the variables. Error correction term is helping in explai^ing the speed of adjustment of the equilibrium.
In four different models GDP, gold prices, unemployment and workers' remittances found to have impact on the real exchange rate in long run. Foreign direct investm^nt, foreign reserves and political stability are found to affect real exchange rate in appreciating manner while public debt is found to have depreciating effect on RER. The error correction results are estimated for all the four models to find out the whether tljere exist any short run relationship? One time lag of the variables GDPS, GPS, UEMP jmd WR, have short run significant relationship on the real exchange rate. The models seerh to be correct because of the negative coefficient of the error correction term which is
statistically significant. The coefficients on most of the variables are consistent \ theory and show an existence of long term and short term association.
